Software Engineer Jobs with Salary ≥ 200k

Summary: Candidates must have 8+ years of development experience, including significant background in platform engineering, SRE, or distributed systems, demonstrating principal-level impact. Essential technical requirements include strong proficiency in Kubernetes, AWS services, and using Terraform for infrastructure automation across both cloud and on-premises environments.

Skills: kubernetes, aws, terraform, infrastructure as code, ci/cd pipelines, monitoring, observability, incident response, capacity planning, container orchestration, sre, platform engineering, distributed systems, mlops, data processing, networking

Summary: Candidates must have 3+ years of experience building reliable, secure production software and possess full-stack capabilities, demonstrating proficiency in Python and React or the ability to learn new stacks quickly. A proven track record of writing clean, testable, and maintainable code is essential for this role.

Skills: full-stack engineering, python, django, react, aws, software architecture, system reliability, performance optimization, ai functionality, testable code, maintainable code, end-to-end ownership

Summary: Candidates must possess over 5 years of software development experience, specifically building performant, large-scale distributed systems, with strong coding skills preferably in Go and a solid understanding of relational databases and transactions. The ideal candidate should be a strong problem solver capable of leading technical initiatives and mentoring others.

Skills: go, distributed systems, relational databases, transactions, problem solving, debugging, concurrent systems, rest api design, stakeholder alignment, technical leadership, mentoring, ai integration, scalability, integrity, maintainability, stability

Summary: Candidates must possess over 6 years of frontend development experience with strong expertise in React.js and TypeScript, alongside a deep understanding of web and mobile tracking technologies and analytics platforms like Google Analytics and Segment. Proven ability to troubleshoot data discrepancies in complex tracking systems and collaborate across multiple teams is also required.

Skills: react.js, typescript, frontend development, web tracking technologies, mobile tracking technologies, google tag manager, google analytics, segment, mixpanel, appsflyer, data validation, monitoring, alerting systems, martech stack, a/b testing, frontend testing frameworks

Summary: Candidates must have extensive professional full-stack development experience, ideally gained within startup environments, and significant experience working with the specified tech stack. A strong requirement is the ability to own technically challenging projects, execute autonomously, maintain a customer-first mindset, and demonstrate a habit of introspection.

Skills: full stack development, react, typescript, node.js, postgres, system architecture, code reviews, mentorship, agile development, requirements gathering, scalability, data storage, user interface development, server-side development, cross-functional collaboration, customer focus

Summary: Candidates should possess 6+ years of software development experience, strong proficiency in Python or a similar language, and proven experience building identity or authentication systems. A strong candidate must also be familiar with security and privacy concerns related to identity data and comfortable balancing pragmatic trade-offs in real-world systems.

Skills: technical leadership, system design, multi-factor authentication, id verification, account takeover detection, security, privacy, compliance, scalability, testing, maintenance, mentorship, python, identity systems, authentication systems, data modeling

Summary: Candidates must possess over 12 years of software engineering experience, including significant time as a technical architect for complex, business-critical systems, with deep hands-on expertise in full-stack development using languages like Go or Java and modern frontends like React. Success requires a strong foundation in system design, experience with relational databases and event streaming technologies like Kafka, and the ability to translate ambiguous business problems into clear technical strategies.

Skills: system design, architecture, go, java, react, postgresql, kafka, microservices, apis, stakeholder management, technical leadership, mentoring, ci/cd, observability, cloud native, technical strategy

Summary: Candidates must have at least five years of full-stack engineering experience, ideally building large-scale distributed systems for consumer-facing software. Strong foundational knowledge in data structures, algorithms, and systems design is prioritized over specific framework experience, alongside a proactive, problem-solving mindset.

Skills: full stack engineering, backend development, automation systems, distributed systems, typescript, nest.js, next.js, react, react native, graphql, postgres, dynamodb, clickhouse, redis, aws, microservices

Summary: Candidates must have at least five years of full-stack engineering experience building production-grade software, preferably in large-scale distributed systems for consumer-facing applications. Strong foundational knowledge in data structures, algorithms, and systems design is prioritized over specific tech stack familiarity.

Skills: typescript, nest.js, next.js, react, react native, expo, graphql, postgres, dynamodb, clickhouse, redis, aws, microservices, containerized services, lambda, systems design

Summary: Candidates must possess 20+ years of industry experience, including large-scale enterprise web/SaaS applications, with 10-15+ years in senior engineering roles focusing on API/tool design. Expert knowledge of the Microsoft .NET stack (C#, ASP.NET MVC, Web APIs), SQL databases, and experience transitioning monolithic applications to service-driven paradigms are essential.

Skills: responsive web application development, distributed systems, technical leadership, process management, design, implementation, system improvement, security, availability, reliability, performance, architectural decisions, scale, mentoring, roadmap contribution, metric determination

Summary: Candidates must have 6 to 20 years of backend engineering experience, demonstrating strong proficiency in Go or Java, and excellent Computer Science fundamentals. Required expertise spans APIs, databases, distributed systems, infrastructure, and experience with IAM protocols like OAuth 2.0, SAML, OIDC, and WebAuthn.

Skills: go, java, microservices, high availability, audit logging, observability, database schemas, raw sql, ci/cd pipelines, kubernetes, identity and access management, oauth, saml, oidc, webauthn, compliance

Summary: Candidates must possess at least five years of full-stack engineering experience, ideally with large-scale distributed systems for consumer-facing software. Strong foundational knowledge in data structures, algorithms, and systems design is prioritized over specific framework experience.

Skills: full stack engineering, backend development, automation systems, distributed systems, data structures, algorithms, systems design, typescript, nest.js, next.js, react, graphql, postgres, aws, microservices, api development

Summary: Candidates must possess 7+ years of software engineering experience, including 5+ years working with containerized applications like Docker and Kubernetes in production environments. Essential qualifications include expertise in at least one web framework (preferably Node or Python) and a strong ability to solve problems while demonstrating empathy for customer challenges.

Skills: tooling implementation, release engineering, developer experience, path to production, containerized applications, docker, kubernetes, web frameworks, node, python, problem solving, product-first approach, workflow streamlining, quality integration, cross-functional collaboration

Summary: Candidates must possess a Bachelor's or Master's degree in a related technical field along with 10+ years of software engineering experience, including at least 2 years working directly with LLMs or agentic AI systems. Proven experience building LLM-powered agents interacting with external tools and demonstrated work with agent orchestration frameworks are mandatory.

Skills: llms, agentic ai systems, llm-based agents, rag, mcp, tool integration, orchestration frameworks, langchain, langgraph, camel, python, distributed systems, vector databases, prompt engineering, computer vision, mlops

Summary: Senior Engineers must operate with high autonomy, acting as partners in setting strategy for APIs, agent interfaces, observability, and developer experience, requiring at least 4 years of software engineering experience. Candidates need a bias toward automation, hands-on experience shipping with AI coding tools, proven ability to design versioned APIs/SDKs, proficiency with React, and experience with at least one major cloud provider.

Skills: api design, sdk development, cli development, web interfaces, backend architecture, authentication systems, observability systems, agent experience design, protocol design, react, cloud provider experience, automation, ai coding tools, versioned apis, monitoring, alerting

Summary: Minimum qualifications include a Bachelor's degree in a related field or equivalent experience plus 4 years of experience owning the delivery of ML-powered features from design through production measurement. Candidates must have hands-on experience designing or contributing to experimentation systems, including running controlled experiments in live environments, and building data processing systems supporting model-driven decisioning.

Skills: machine learning, software engineering, personalization, model deployment, experimentation systems, data processing, feature pipelines, real-time data integration, a/b testing, distributed systems, ml governance, ml explainability, fairness, product development, strategy evaluation, ml model productionization

Summary: Candidates must have over 5 years of experience with Python and Typescript, along with demonstrable experience building libraries used by other developers, preferably including AI SDKs like OpenAI or Vercel AI SDKs. Strong computer science fundamentals, a commitment to collaboration, and extensive testing background are also required.

Skills: python, typescript, sdk development, ai sdks, openai, vercel ai sdks, performance, concurrency, resiliency, open source, testing, benchmarking, load tests, integration tests, unit tests, production-ready code

Summary: Candidates must have 9+ years of relevant engineering experience and a Bachelor's, Master's, or PhD in CS or a related field, demonstrating experience shipping ML-powered product features in production environments. Essential expertise includes exceptional architecture abilities for large-scale applications, familiarity with NLP/NLU, and strong technical leadership skills to bridge ML research and engineering execution.

Skills: machine learning, technical vision, architecture, end-to-end delivery, prototyping, experimentation, monitoring, scalability, reliability, nlp/nlu, large language models, technical leadership, distributed systems, real-time systems, ml infrastructure, a/b testing

Summary: Candidates must have 6+ years of software engineering experience focusing on infrastructure or DevOps, specifically deploying and managing containers, along with a Bachelor’s Degree in Computer Science or a similar field. Essential technical requirements include hands-on experience with Kubernetes, stateful applications, CI/CD pipeline optimization, and practical knowledge of secrets management within a cloud-native environment.

Skills: container-based application lifecycle, ci/cd pipelines, kubernetes, stateful applications, persistent storage, infrastructure-as-code, makefiles, monitoring, alert response, 24x7 on-call rotation, debugging, auth management, terraform deployments, data pipelines, dbt, secrets management

Summary: Candidates must possess a minimum of 8 years of professional software engineering experience with strong expertise in Java and Spring Boot for backend systems, along with experience building RESTful APIs and microservices architectures. Practical experience with cloud platforms like AWS, Azure, or Google Cloud, and familiarity with modern front-end workflows using React are also required.

Skills: java, spring boot, react, cloud technologies, aws, azure, google cloud, microservices, restful apis, code reviews, mentorship, ci/cd, devops, mysql, postgresql, mongodb

Summary: Candidates must have 8+ years of experience developing web-based applications, proficiency with a modern front-end framework, and experience creating platform-level components and writing REST/JSON APIs. Strong problem-solving abilities, motivation for hard work, and a continuous learning mindset are essential for success in this senior role.

Skills: node.js, ember, javascript, python, docker, postgresql, kubernetes, rest apis, json apis, software testing, design documentation, mentoring, agile, front-end frameworks, typescript, es6

Summary: Candidates typically need 5+ years of relevant software engineering experience, with a proven track record of delivering complex technical work in production environments and turning ambiguity into executable plans. Key technical requirements include proficiency in cloud infrastructure (Azure preferred), Terraform, a general-purpose programming language like Python, and Kubernetes, alongside experience in incident response.

Skills: cloud infrastructure, azure, aws, gcp, terraform, python, kubernetes, incident response, disaster recovery, security controls, ai-assisted development, llm tooling, iac, observability, alerting, project leadership

Summary: Hybrid frontend role at a healthcare storefront with meaningful product impact and strong growth potential. Backed by $32M in funding, led by PillPack alumni, offering a competitive benefits package. Visa sponsorship not available.

Skills: react, next.js

Summary: Candidates must have over four years of experience building full-stack web applications, demonstrating proficiency in modern TypeScript (React, Next.js) on the client side and Python on the server side, while actively using AI tools for development. Strong knowledge of relational databases, REST API design, cloud platforms (AWS, GCP, or Azure), and containerization is required.

Skills: typescript, python, nextjs, fastapi, react, llm, fhir, hl7, postgresql, redis, s3, terraform, helm, docker, kubernetes, ci/cd

Summary: Candidates must have 4+ years of experience building full-stack web applications, proficiency in modern TypeScript (React, Next.js) on the client and Python on the server, and daily use of AI tools for development. Strong grasp of relational databases, REST API design, cloud platforms (AWS, GCP, or Azure), and containerization (Docker, Kubernetes) are required.

Skills: typescript, python, nextjs, fastapi, react, llm, fhir, hl7, postgresql, redis, s3, terraform, helm, docker, kubernetes, ci/cd

Summary: Candidates must have at least 8+ years building complex web applications and backend services as a full-stack engineer, with a minimum of 6 years at a Senior level, possessing a scrappy, build-it mentality for rapid prototyping. Required technical expertise includes modern frontend frameworks, TypeScript, LLM integration, event-driven systems, cloud infrastructure (AWS, Terraform, Kubernetes), and database architecture across SQL/NoSQL.

Skills: full-stack web development, rapid prototyping, typescript, llm integration, rag, prompt engineering, agent workflows, event-driven systems, websockets, message queues, cloud infrastructure, terraform, kubernetes, database architecture, sql, nosql

Summary: Candidates must possess a Bachelor's degree in Computer Science or a related field along with over 5 years of experience in backend system architecture or cloud services. Proficiency in designing robust APIs using protocols like gRPC and REST, along with experience in containerization (Kubernetes/Docker) and cloud environments (AWS, Azure, GCP) is required.

Skills: backend architecture, server solutions, ai agent, scalability, high availability, performance optimization, grpc, rest, virtual agent, database schema design, query optimization, sql, nosql, kubernetes, docker, microservices

Summary: Candidates must have 8+ years of backend software engineering experience focused on service-oriented and distributed systems, with strong proficiency in Python, relational databases, and a major cloud platform like AWS. Essential qualifications include deep understanding of modern service design principles and proven experience mentoring engineers and optimizing large-scale data applications.

Skills: backend software engineering, service-oriented architectures, distributed systems, python, relational databases, aws, restful architectures, event-driven architectures, data-intensive applications, mentoring, performance optimization, reliability engineering, security best practices, full stack, cloud infrastructure, api development

Summary: YC-funded (S24) startup with rapid growth in freight-finance AI; founders direct exposure, visa-friendly, and opportunity to shape the core platform at scale.

Skills: next.js, node.js, sql, nosql, mongodb, postgresql

Summary: Candidates must possess a Bachelor's or Master's degree in a related field or four years of equivalent experience, along with 5+ years of software development experience, including proficiency in SQL (preferably PostgreSQL) and a production JVM language (preferably Scala).

Skills: sql, postgresql, jvm language, scala, regular expressions, large language models, data science concepts, information extraction, docker, kubernetes, kafka, aws, gcp, ci/cd pipelines, english communication

Summary: Candidates must have over 3 years of experience on a mobile engineering team, building and maintaining production-grade applications with professional experience in both Android and iOS development. A proven ability to optimize database performance and strong communication skills for cross-functional collaboration are also required.

Skills: kotlin, swift, swiftui, jetpack compose, rest apis, websockets, socket.io, tca, code reviews, architecture discussions, schema design, query tuning, indexing strategies, communication, cross-functional collaboration, android telephony api

Summary: The role seeks a Backend Engineer to build core financial infrastructure, requiring comfort with fast-paced startup environments and the ability to take initiative in a regulated domain. Candidates must be prepared to ramp up quickly on architecture, ship features, and eventually own and strengthen service reliability across the platform.

Skills: go, typescript, node.js, rust, grpc, rest, graphql, trpc, postgres, redis, kafka, temporal, aws, kubernetes, terraform, nitro enclaves

Summary: The role requires taking ownership of service surfaces, leading medium-scope projects like API contract updates or partner integrations, and strengthening system reliability through improved logging and alerting.

Skills: go, typescript, node.js, rust, grpc, rest, postgres, redis, kafka, temporal, aws, kubernetes, terraform, nitro enclaves, datadog, grafana

Summary: Candidates must possess a Bachelor's degree or equivalent experience, with a minimum of 6 years of professional experience, demonstrating strong proficiency in Node.js, JavaScript, and TypeScript. Required technical expertise includes experience with REST APIs, Git, CI/CD pipelines, AWS services, Terraform, and a solid understanding of secure coding practices.

Skills: node.js, javascript, typescript, rest apis, git, ci/cd pipelines, agile development, aws, terraform, frontend development, relational databases, secure coding practices, threat modeling, reactjs, event-driven workflows, root-cause analysis

Summary: A Bachelor's degree in IT or related field, or equivalent experience, is required, along with a minimum of 8 years in IT roles and 5 years in leadership/people management. Candidates must be eligible to work in the US without sponsorship and possess strong skills in leadership, communication, and managing large-scale IT transformations.

Skills: cloud migration, client migration, platform retirement, prior authorization, utilization management, infrastructure, software development, cybersecurity, people management, stakeholder management, budget management, financial planning, aws, pega, java, c#

Summary: Candidates must have 8+ years of experience developing web-based applications, including experience with a modern front-end framework, creating platform-level components, and writing REST/JSON APIs. Strong problem-solving skills, motivation to learn, and the ability to work independently are essential for success in this senior role.

Skills: node.js, ember, javascript, python, docker, postgresql, kubernetes, rest apis, json apis, software testing, design documentation, mentoring, agile, front-end frameworks, typescript, es6

Summary: Candidates must possess 6 to 20 years of backend engineering experience, demonstrating strong proficiency in Go (preferred) or Java, coupled with excellent Computer Science fundamentals. Essential requirements include broad backend expertise across APIs, databases, distributed systems, infrastructure, and specific experience with IAM protocols like OAuth 2.0, SAML, OIDC, and WebAuthn.

Skills: go, java, microservices, kubernetes, ci/cd, sql, oauth 2.0, saml, oidc, webauthn, pki, soc 2, iso 27001, gdpr, ccpa, identity and access management

Summary: Candidates must possess a Bachelor's degree or equivalent experience, with eight or more years in software engineering, including at least five years leading managers or large teams. Essential qualifications include experience delivering highly available, customer-facing technology platforms and a strong understanding of modern software design, cloud technologies, AI, and distributed systems.

Skills: software engineering leadership, voice systems, ai, ivr, conversational ai, system integrations, cloud solutions, security, reliability, performance, apis, distributed systems, project management, team leadership, stakeholder management, continuous improvement

Summary: Candidates must possess 8+ years of software engineering experience with deep expertise in building and operating Kubernetes-based internal service platforms, including strong knowledge of Kubernetes internals like controllers and networking. Proficiency with Infrastructure as Code tools and CI/CD systems is also required.

Skills: kubernetes, platform maturity, cni plugin, golang, typescript, operator patterns, slos, terraform, pulumi, ci/cd, argocd, flux, aws, eks, distributed systems, infrastructure strategy

Summary: Candidates must possess 8-12+ years of progressive software engineering experience with demonstrated Staff-level impact, including deep expertise in large-scale distributed systems on cloud environments, preferably GCP. Essential requirements include hands-on experience with Kubernetes, event-driven architectures, infrastructure-as-code, and proficiency in modern backend languages, alongside experience in regulated financial systems where correctness and auditability are critical.

Skills: distributed systems, cloud-native architecture, kubernetes, gcp, terraform, python, c++, go, event-driven architectures, ai-assisted development, financial correctness, auditability, api design, ci/cd, observability, mentoring

Summary: Candidates must have 4+ years of experience designing, developing, and launching scalable backend systems using languages like Python or Kotlin, along with a track record in highly available distributed systems using technologies such as AWS, MySQL, and Kubernetes. Strong communication skills and the ability to define technical plans with extensible designs are also required.

Skills: python, kotlin, aws, mysql, kubernetes, backend systems, distributed systems, api development, design standards, code review, metrics monitoring, technical planning, stakeholder collaboration, problem solving, on-call support

Summary: Candidates must possess 8+ years of development experience in backend or full-stack software development, including experience in Individual Contributor (IC) Leadership. Required expertise includes trade-off analysis for distributed architectures and proficiency in modern programming languages like Kotlin and C#.

Skills: backend development, full-stack development, ic leadership, design, implementation, system re-architecture, microservice integrations, rest apis, grpc apis, code reviews, design reviews, architecture reviews, roadmap planning, kotlin, c#, data storage

Summary: Candidates need 4+ years of experience designing, developing, and launching scalable backend systems using languages like Python or Kotlin, along with a track record in highly available distributed systems using technologies such as AWS, MySQL, and Kubernetes. Strong communication skills and the ability to define technical plans with elegant, extensible designs are also required.

Skills: python, kotlin, aws, mysql, kubernetes, backend systems, distributed systems, api development, design standards, code review, technical planning, stakeholder collaboration

Summary: Candidates must have 6+ years of software engineering experience, including proven experience as a DevOps Architect, with a Bachelor's or Master's degree in a related field. Essential technical requirements include solid Linux experience, proficiency in languages like Python/Go/Ruby, and experience with cloud providers (Azure, AWS, GCP), CI/CD patterns, networking, containerization (Docker/Kubernetes), and Infrastructure as Code (Terraform).

Skills: devops, infrastructure design, ci/cd pipelines, automation, shift left security, linux, python, go, ruby, azure, aws, gcp, kubernetes, terraform, ansible, prometheus

Summary: Candidates must have 5-7+ years of experience delivering reliable services using object-oriented languages like Java or Kotlin, coupled with familiarity in the technical logic of Order, Warehouse, or Transportation Management systems. Proven proficiency in integrating disparate enterprise applications using REST, XML, and JSON is also required.

Skills: java, kotlin, netsuite erp, salesforce, shipium, rest, xml, json, order management, warehouse management, transportation management, data integrity, version control, qa, scalability, ci/cd

Summary: Candidates must have 5–10+ years of experience building and scaling production systems, along with proficiency in Python and experience with at least one other backend language like Ruby, Go, C, or Java. A Bachelor’s degree in a related field or equivalent experience is required, along with comfort in writing production-grade SQL and building across the stack including modern JavaScript frameworks.

Skills: python, ruby, go, c, java, sql, relational databases, backend services, frontend applications, react, angular, data pipelines, data orchestration, systems design, ai, automation

Summary: Candidates must possess a Bachelor's degree in Computer Science or a related field, plus three years of software developer experience, including two years specifically with server-side concepts, NodeJS, TypeScript, front-end frameworks, AWS, PostgreSQL, Docker, testing frameworks, and CI/CD pipelines. Experience with micro-services, performance monitoring, and various debugging tools is also required.

Skills: node.js, typescript, react, redux, angular, sequelize, postgresql, docker, mocha, chai, sinon, confluence, splunk, fullstory, jira, new relic

Summary: Candidates must have 6+ years of backend software engineering experience with strong proficiency in Java and Spring Boot, alongside experience with Apache Kafka or similar distributed streaming platforms. A solid understanding of distributed systems concepts, cloud infrastructure (AWS preferred), and containerized deployments is also required.

Skills: java, spring boot, kafka, kafka streams, spring cloud stream, protocol buffers, schema registry, terraform, ci/cd, aws, go, grpc, schema evolution, distributed systems, microservices, observability

Summary: Candidates must possess 8+ years of strong coding and scripting experience, requiring proficiency in Python, with experience building automation, custom tooling, and maintaining ETL/ELT pipelines for security data ingestion. Experience working in highly regulated environments like FedRAMP High, IL4, IL5, and/or IL6 is a plus, as is holding a current or previous Secret or higher clearance.

Skills: python, bash, powershell, go, etl/elt pipelines, data ingestion, automation, terraform, infrastructure-as-code, ci/cd pipelines, aws, gcp, azure, api integration, security controls, mfa

Summary: Candidates must have strong proficiency in React and a minimum of 3 years of frontend engineering experience, preferably with experience applying AI/LLMs in production environments. A desire to work in a fast-paced setting, continuously grow, and master the craft is also required.

Skills: react, next.js, tailwind css, frontend engineering, ai, llm, growth mindset, cross-functional communication, ux, system design, testing

Summary: Candidates need a minimum of a Bachelor’s Degree, at least 7 years in software development, and 5 years in people management, with preferred qualifications including a Master's degree and 10+ years of development experience. Experience in launching products from the ground up and utilizing Agile practices is also desired.

Skills: node.js, java, go, react, python, rest, json, nosql, relational databases, aws, cloud infrastructure, machine learning, big data, microservices, agile

Summary: Candidates must have a Bachelor's or Master's degree in a related field and at least 4 years of experience building and maintaining production backend infrastructure, including proven scalability and cloud deployment experience (like AWS) and strong API design skills. Essential qualities include excellent problem-solving abilities, adaptability in a fast-paced startup environment, strong communication, and a results-oriented mindset.

Skills: backend systems development, high-performance systems, ml model integration, cloud infrastructure, api design, system optimization, code quality, testing, llms, voice ai, asr, tts, experimentation, problem solving, collaboration, adaptability

Summary: Candidates must have strong expertise with Go and Kubernetes, including writing controllers and extending Kubernetes via APIs, alongside extensive experience developing scalable, reliable, and performant systems. Security experience, proficiency with AWS, Linux systems engineering, and networking experience are also required.

Skills: go, kubernetes, scalable systems, reliable systems, performant systems, security, aws, linux systems engineering, networking, envoy, cilium, cryptography

Summary: Candidates must possess over 12 years of software development experience, including a strong foundation in distributed systems, cloud-native architectures, and data platforms, alongside a minimum of 5 years leading engineering teams. Expertise in a major cloud platform (AWS, Azure, GCP, OCI) and practical experience with state-of-the-art AI/ML technologies are essential.

Skills: software development, team leadership, distributed systems, cloud-native architectures, artificial intelligence, machine learning systems, data platforms, hiring, mentoring, sdks, apis, microservices, technical roadmap, engineering excellence, data governance, cloud platform expertise

Summary: Candidates must possess 5+ years of software development experience, including mobile development, with a strong background in building cross-platform mobile applications, preferably using Flutter and Dart. A solid understanding of mobile application architecture and best practices, along with proactive project ownership, is required.

Skills: software development, mobile development, flutter, ios, android, dart, cross-platform mobile applications, application architecture, performance optimization, code quality, testing, product design partnership, feature development, stakeholder collaboration, communication skills

Summary: Candidates must have 5+ years of experience in product security, application security, or security-related software engineering, along with a Bachelor's degree in Computer Science, Engineering, or equivalent experience. Proficiency in a dynamic programming language like Python is required.

Skills: security software engineering, application security, tooling development, secure development lifecycle, code review, security assessments, design reviews, python, ai threat mitigation

Summary: Candidates must have 10+ years of software engineering experience, focusing on scalable systems architecture and performance optimization, with proven success in re-architecting complex legacy platforms. Required technical expertise includes strong programming in Ruby and Python, deep knowledge of relational databases like PostgreSQL, and hands-on experience with batch/streaming data pipelines and cloud-native architecture.

Skills: architecture, system design, scalability, data pipelines, postgresql, ruby, python, rails, graphql, django, sidekiq, distributed systems, cloud-native architecture, ci/cd, docker, kubernetes

Summary: Candidates must have at least 5 years of software engineering experience, including designing, building, scaling, and maintaining production services within a service-oriented architecture. A strong passion for building an open financial system and the ability to write high-quality, tested code are essential.

Skills: golang, system design, cloud technology, backend systems, scalability, testing, service oriented architecture, product vision, technical roadmap, ruby, docker, rails, postgres, mongodb, dynamodb, financial systems

Summary: Candidates need a minimum of 4 years of software engineering experience, with at least 2 years focused on ML-driven products or intelligent systems, alongside strong backend skills in Python and cloud-native tooling. Preferred qualifications include experience shipping GenAI features using frameworks like LangChain or OpenAI APIs, and familiarity with RAG and vector search.

Skills: software engineering, llms, generative ai, machine learning, python, fastapi, flask, kubernetes, docker, terraform, apis, prompt design, model evaluation, system design, langchain, llamaindex

Summary: Candidates must have 6+ years of related experience, including 4+ years managing diverse, geographically dispersed teams, and a Bachelor's degree in a relevant field. Essential qualifications include experience delivering data-intensive software products at scale, understanding of software engineering, statistics, and machine learning fundamentals, and experience with distributed cloud computing.

Skills: servant leadership, mentoring, coaching, product delivery, strategy definition, tactical decision making, process refinement, task planning, code reviews, on-call rotations, engineering practices, inference pipelines, cloud computing, change management, tech debt management, geospatial data

Summary: Candidates must have 12+ years of engineering experience with a proven track record operating at a Staff or Senior Staff level, shaping technical strategy for large-scale API or distributed systems platforms. Deep expertise in distributed systems and API architecture is required, along with the ability to lead through influence and strong product instincts.

Skills: api engineering, technical strategy, distributed systems, api architecture, python, typescript, fastapi, react, gcp, kubernetes, cloud run, aws, azure, postgresql, vector stores, firestore

Summary: The role requires serving as an architect and visionary leader focused on analytics and data applications, encompassing data engineering, analytics applications, and infrastructure. The seniority level is indicated as Mid-Senior level, suggesting significant prior experience is necessary for this Principal Engineer position.

Skills: architecture, design, strategy, implementation, data engineering, analytics applications, infrastructure, innovation, scalability, performance

Summary: Candidates typically need 6 to 10+ years of experience and must be proficient in reading, writing, and speaking English. The role is classified as an Individual Contributor at Career Level IC4.

Skills: software engineering, agent toolkits, cloud infrastructure, ai, data infrastructure, applications

Summary: Candidates are expected to have 6 to 10+ years of experience, aligning with the Principal Software Engineer level (IC4). Applicants must be able to read, write, and speak English, and the role is for a Regular Employee.

Skills: software engineering, agent toolkits, cloud infrastructure, ai, data infrastructure, applications

Summary: The position requires significant experience, indicated by the Principal Member of Technical Staff title and 6 to 10+ years requirement, focusing on data platform engineering expertise for a cloud-native system. Applicants must be able to read, write, and speak English.

Skills: cloud software engineering, generative ai, cloud-native technologies, data platform engineering, software development, system design, technical staff leadership

Summary: The role requires significant experience, indicated by the 'Principal Member of Technical Staff' title and a required experience range of 6 to 10+ years. Applicants must be proficient in English and the position is classified as an Individual Contributor (IC4).

Skills: cloud software engineering, generative ai, cloud-native technologies, data platform engineering, platform development, system creation, software development

Summary: Candidates must possess at least four years of experience with DoD or IC remote sensing constellations, proficiency in Agile methodology, software engineering, and project management principles, along with experience leading technical teams. A mandatory active TS/SCI clearance and a Bachelor's degree in a STEM field are required.

Skills: remote sensing, software engineering, team leadership, agile methodology, project management, customer focus, technical specifications, r&d project delivery, full-stack development, python, ui/ux, api, database technologies, schedule management, agentic ai, ts/sci clearance

Summary: Candidates must possess over 6 years of software development experience, with deep proficiency in JavaScript/TypeScript and React Native frameworks, alongside strong experience in API design and security.

Skills: react native, react.js, javascript, typescript, api design, next.js, websockets, frontend testing, ui/ux best practices, financial systems, security, mobile applications, software development, blockchain, payments systems

Summary: Candidates must have a minimum of 3 years of experience as a software engineer with hands-on experience building production systems, including integrating LLMs or generative AI models into applications. Practical experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers is required, along with the willingness to work in the office once per week.

Skills: llm-powered workflows, rag pipelines, orchestration components, vulnerability detection, security automation, first principles problem solving, data-driven decision making, change agility, ai security agent development, api development, service building, cross-functional partnership, pytorch, tensorflow, huggingface transformers, llm integration

Summary: Candidates must have 8+ years of software engineering experience, including deep expertise in building and maintaining production-grade AI platforms and infrastructure, with proven proficiency in LLMs, generative AI, and machine learning frameworks like TensorFlow or PyTorch. A willingness to come into the office once per week in either Seattle or Austin is also a minimum requirement.

Skills: ai platform engineering, large language models, generative ai, machine learning frameworks, model deployment, mlops pipelines, agentic frameworks, orchestration, rag, llm-based models, ai red teaming, api development, scalability, observability, change agility, data-driven decision making

Summary: Candidates must possess a Bachelor's degree or higher in Computer Science or a related field, requiring 7+ years of software development experience and 5+ years of strategic leadership experience. Essential specialized knowledge includes expertise in scalable microservice development using languages like Java or Python, deep understanding of distributed patterns, cloud-native architectures, and IaC tools.

Skills: microservices, java, dotnet, python, typescript, ddd, serverless, event-driven architecture, object-oriented design, ci/cd, cloud platforms, terraform, ansible, kubernetes, argocd, kafka

Summary: Candidates must possess deep expertise in the Stellar ecosystem, including Soroban's programming model, tooling, and best practices, alongside strong proficiency in Rust and a solid understanding of smart contract security patterns. Required experience ranges from 2 to 10+ years, with familiarity with Stellar classic operations and fintech experience being beneficial.

Skills: soroban, stellar, rust, smart contract security, node.js, backend systems, evm, solana, scalability, reliability

Summary: Candidates must possess deep expertise in the Solana ecosystem, including its programming model and tooling, coupled with strong proficiency in Rust and a solid understanding of smart contract security patterns. Experience with Node.js and backend systems is also required, along with 2 to 10+ years of engineering experience.

Skills: solana, rust, solana programs, backend services, evm, stellar, smart contract security, node.js, scalability, reliability, on-chain infrastructure, architecture

Summary: Candidates must have 4+ years of experience designing, developing, and launching scalable backend systems using languages like Python or Kotlin, along with a track record in developing highly available distributed systems using technologies such as AWS, MySQL, and Kubernetes. Expertise in stream processing frameworks like Spark or Flink is required, and experience with Confluent Platform is a strong plus.

Skills: python, kotlin, aws, mysql, kubernetes, kafka, flink, spark, stream processing, distributed systems, backend systems, fault-tolerant data infrastructure, schema registry, tableflow

Summary: Candidates need 4+ years of experience designing, developing, and launching scalable backend systems using languages like Python or Kotlin, along with a track record in highly available distributed systems using AWS, MySQL, and Kubernetes. Expertise in stream processing frameworks like Spark or Flink is required, and strong communication skills are essential for collaboration.

Skills: python, kotlin, aws, mysql, kubernetes, kafka, flink, spark, stream processing, distributed systems, data pipelines, fault-tolerant, schema registry, tableflow, confluent platform

Summary: Candidates must have 8+ years of professional software engineering experience, focusing on data-intensive systems, and strong proficiency in building and operating large-scale data pipelines using languages like Java, Scala, Kotlin, or Python, plus SQL. Experience with AdTech measurement products or experimentation platforms, and demonstrated ability to lead large cross-functional initiatives using technical leadership are also required.

Skills: architecture, data pipelines, java, scala, kotlin, python, sql, apis, distributed systems, data modeling, performance optimization, ai enablement, ci checks, test strategy, data validation, root cause analysis

Summary: Candidates must possess 8+ years of experience building backend services and APIs, with extensive proficiency in an Object Oriented Language like Java or Kotlin, including deep knowledge of testing and best practices. Experience shipping production services, scaling distributed systems, and strong cross-team communication skills are essential for success in this role.

Skills: java, kotlin, backend services, apis, object oriented language, testing, quality, distributed systems, android applications, front end applications, cross-team communication, design, deployment, maintenance, automated testing

Summary: Candidates must have experience with billing or contract mechanisms, particularly in affiliate platforms, and a Bachelor's degree or equivalent experience in computer science or a related field. Strong proficiency in Javascript and Python/Java, deep understanding of web development best practices (including React/Redux), and solid software engineering principles are required.

Skills: backend systems, contract lifecycle management, billing systems, api development, data integrity, javascript, python, java, react, redux, system observability, reliability, performance scaling, technical design, code review, mentoring

Summary: Candidates must have strong experience with DevOps/SRE practices, including operating large-scale production systems, and a strong programming background in a modern language, primarily Python or Go. Essential requirements include experience designing distributed systems and a solid understanding of reliability engineering concepts like incident management and observability.

Skills: devops, sre, python, go, distributed systems, reliability engineering, incident management, observability, test automation, performance testing, technical communication, architectural design, kubernetes, docker, slis/slos, developer tooling

Summary: Candidates must have strong experience with DevOps/SRE practices, including operating large-scale production systems, and a strong programming background in a modern language like Python or Go. Experience designing and operating large-scale distributed systems, coupled with strong reliability engineering concepts and test automation skills, is required.

Skills: devops, sre, python, go, distributed systems, reliability engineering, incident management, observability, test automation, performance testing, functional testing, technical communication, architectural design, cloud-native systems, kubernetes, docker

Summary: Candidates must possess 7+ years of software engineering experience with a proven track record of leading complex, cross-functional technical projects, alongside strong expertise in large-scale distributed systems and backend service development. Essential technical abilities include proficiency in at least one major programming language (like Go, Python, Scala, Java, or C++) and demonstrated leadership in navigating ambiguity and driving technical direction.

Skills: backend expertise, distributed systems, scalable services, go, python, scala, java, c++, technical roadmap, fraud detection, stakeholder alignment, software development lifecycle, system architecture, technical leadership, cross-functional collaboration, llms

Summary: Candidates must have 5+ years of broad, hands-on experience across multiple security domains, coupled with strong software engineering fundamentals and a track record of leading cross-domain security projects end-to-end. Proficiency in programming languages like Python, Go, or C# is required, along with a proven ability to deliver scalable prevention across various security domains.

Skills: incident response, threat hunting, security engineering, red teaming, cloud security, ci/cd security, endpoint security, threat modeling, security tooling, detection engineering, incident management, identity protection, security awareness, risk assessment, bot mitigation, software engineering

Summary: Candidates must possess 7+ years of software engineering experience, demonstrating a track record of leading large-scale technical projects requiring cross-team collaboration. Essential technical expertise includes large-scale distributed systems and proficiency in at least one major programming language, with a preference for Python and Go.

Skills: distributed systems, backend services, scalability, reliability, go, python, scala, java, c++, technical leadership, stakeholder alignment, cross-functional collaboration, api development, authentication, rate limiting, sdks

Summary: Minimum qualifications include a Bachelor's degree in Computer Science, Engineering, or Mathematics (or equivalent) plus 4 years of experience. Candidates should be comfortable executing independently, challenging authority when necessary, and thriving in an ownership-driven environment.

Skills: software engineering, full stack development, backend development, frontend development, quality assurance, testability, resiliency, maintainability, architectural decisions, cross-functional collaboration, problem solving, independent execution, communication, iterative development, ai lending marketplace, credit access

Summary: Candidates must have a minimum of 5+ years of professional software engineering experience, strong fundamentals in a modern language like TypeScript, Python, or Go, and demonstrated integration of AI-assisted development tools into their daily workflow. Experience taking products from concept to production in ambiguous environments and comfort with customer interaction are also essential.

Skills: software engineering, ai workflow integration, full stack development, problem decomposition, solution architecture, ai-assisted development tools, typescript, python, go, web technologies, apis, cloud infrastructure, react, code quality, customer engagement, llm apis

Summary: Candidates must possess 8+ years of experience with deep expertise in Java and multi-threaded system design, coupled with a track record of architecting and operating high-throughput, low-latency distributed systems at scale, ideally within AWS. A Bachelor's degree in Computer Science or Engineering is required, and familiarity with AdTech ecosystems or Real-Time Bidding frameworks is highly desirable.

Skills: java, multi-threaded system design, adtech ecosystems, real-time bidding, demand & supply partner integration, high-throughput systems, low-latency systems, distributed systems, data center scaling, aws infrastructure, system resiliency, fault tolerance, observability, api validation, incident response, technical leadership

Summary: Candidates must have 7+ years of software engineering experience, demonstrating a track record of leading technical projects in a growth or product-focused setting with a strong bias for action. Essential technical skills include expertise in scalable backend development (Python/Go preferred) and the proven ability to act as a Tech Lead, breaking down ambiguity and collaborating effectively with cross-functional partners.

Skills: technical driver, code shipping, technical direction, optimization products, experiment scoping, system architecture, mentorship, code reviews, advertiser retention, campaign optimization, backend services, full-stack features, python, go, a/b testing, stakeholder alignment

Summary: Candidates must have 7+ years of experience building resilient, high-performance backend systems and possess strong software engineering discipline, including designing testable systems and writing automated tests. Deep proficiency in Python and experience operating production workloads in cloud environments using tools like Terraform and Docker are essential.

Skills: backend systems, distributed systems, cloud infrastructure, llm integration, architectural decisions, python, go, api design, infrastructure as code, terraform, docker, containerization, data pipelines, observability, system scaling, mentoring

Summary: Candidates need 5–8 years of software engineering experience with expert proficiency in React, Ruby, Python, PostgreSQL, and SQL, alongside a proven track record of leading end-to-end projects. Strong experience in distributed systems, data engineering (including Airflow or DBT), and designing for performance and scalability is required.

Skills: react, ruby, python, postgresql, sql, distributed systems, data engineering, airflow, dbt, observability, seo, aeo, llm visibility, full stack, architecture design, a/b testing

Summary: Candidates must possess over 5 years of experience building and operating high-scale production systems, coupled with strong proficiency in Rust and systems-level programming. A deep understanding of distributed systems, reliability engineering, and experience operating services for millions of users or high-throughput workloads are essential.

Skills: rust, systems-level programming, distributed systems, reliability engineering, performance optimization, ml infrastructure, model serving, mlops, observability, failure recovery, high-scale production systems, inference, orchestration, execution layers, latency optimization, throughput optimization

Summary: Candidates must have over 5 years of experience building and shipping production software systems, possessing strong backend fundamentals in areas like APIs, distributed systems, and reliability. Essential experience includes working with AI/ML systems or LLMs in production, rapid prototyping skills, and strong systems thinking for orchestration and observability.

Skills: backend engineering, distributed systems, data modeling, reliability, fullstack systems, ai/ml systems, inference pipelines, prototyping, architecture, systems thinking, orchestration, observability, ownership, agent-based systems, prompt engineering, guardrails

Summary: Candidates must have 8+ years of relevant software engineering experience, including 5+ years as a people manager, with proven success delivering production software in complex or regulated environments like FinTech. Strong technical proficiency in PHP or Python, GraphQL, SQL, and TypeScript is required, alongside experience leading large-scale content management and backend systems.

Skills: software engineering, platform systems, team leadership, roadmap planning, execution management, technical decision making, mentoring, code quality, testing, graphql, php, python, sql, typescript, security best practices, scalability

Summary: Candidates must have 8+ years of relevant software engineering experience, including 5+ years as a people manager, with proven success delivering production software in complex, fast-paced, or regulated environments like FinTech. Strong technical foundations are required, including proficiency in PHP or Python, GraphQL, SQL, and TypeScript, alongside experience managing large-scale content management systems and backend systems.

Skills: software engineering, platform systems, team leadership, roadmap shaping, technical quality, mentoring, technical decisions, scalability, reliability, security, compliance, code quality, testing, documentation, graphql, typescript

Summary: Candidates need a minimum of 7+ years of full-stack development experience, including at least 1 year using React and Node.js, along with a Bachelor's degree and 7+ years of experience (or equivalent education/experience combinations). A critical requirement is the ability to obtain and maintain a Public Trust Clearance and reside/work exclusively within the U.S.

Skills: react, node, javascript, openapi, devops, cloud, agile, microservices, serverless, java, aws, postgresql, terraform, jenkins, git, github

Summary: Candidates must have 5+ years of professional software development experience, including at least 2 years in a senior role, with strong backend skills ideally in Python/Django or TypeScript/Node.js. Required experience includes working with relational databases, designing RESTful APIs, building event-driven systems, and demonstrating leadership in complex technical projects.

Skills: backend development, system scaling, latency reduction, failure handling, execution primitives, system design, python, django, typescript, node.js, postgresql, mysql, restful apis, event-driven systems, mentorship, ai tooling

Summary: Candidates need 7+ years of full-stack development experience, including 1+ year using React and Node.js, with a strong understanding of software development principles and Agile methodologies. A Bachelor’s degree plus 7+ years of experience (or equivalent combination) is required, and candidates must be able to obtain and maintain a Public Trust Clearance while residing and working within the U.S.

Skills: react, node, javascript, openapi, devops, cloud, agile, microservices, serverless, aws, postgresql, terraform, jenkins, git, github, jira

Summary: Candidates must have a minimum of 12 years in software engineering, including 6+ years in leadership, with strong expertise in microservices, API-first design, event-driven architectures, and messaging systems like Pub/Sub or Kafka. Experience leading distributed engineering organizations and a strong balance of architectural depth and delivery accountability are essential.

Skills: software engineering, integration, technical leadership, platform engineering, service architecture, microservices, api-first design, event-driven systems, pub/sub, kafka, java, spring, web applications, delivery governance, performance engineering, cloud-native

Summary: Candidates must possess 5+ years of professional software engineering experience with a proven track record of shipping high-quality work, requiring full-stack proficiency in JavaScript plus strong skills in either Python or Ruby. Essential technical requirements include experience with modern front-end frameworks (React preferred), relational databases, and SQL, alongside excellent communication and ownership skills.

Skills: software engineering, full-stack development, javascript, python, ruby, react, sql, relational databases, code quality, testing, deployment, collaboration, product features, analytics, tooling, integrations

Summary: Candidates must have 8+ years of experience building production applications using TypeScript, React, React Native, and Node.js across full stack systems, with a proven track record in leading architectural decisions at scale. Essential requirements also include strong system design skills, experience with infrastructure tools like Terraform and AWS, and demonstrated ability to mentor engineers.

Skills: typescript, react, react native, node.js, system design, distributed systems, terraform, aws, ci/cd, mentoring, cross functional collaboration, graphql, postgresql, data modeling, microfrontend

Summary: Candidates need a solid foundation in software engineering and machine learning/data engineering best practices, with experience in Python libraries, Spark, AWS, and modern databases. A deep understanding of privacy, data protection, and secure engineering within ML systems is also required.

Skills: software engineering, machine learning, data engineering, ml infrastructure, mlops, python, pandas, numpy, scikit-learn, tensorflow, xgboost, spark, aws, sql, nosql, distributed systems

Summary: Candidates must possess a BS/MS in Computer Science, EE, or equivalent, with 8+ years of professional experience in Linux kernel development or low-level systems, including expert-level C programming skills. Strong knowledge of core OS concepts like memory management and process scheduling, coupled with a collaborative attitude, is essential.

Skills: linux kernel development, c programming, concurrency, numa systems, memory management, interrupt handling, process scheduling, hardware bring-up, firmware, automated test suites, pcie gen5/6, cxl, arm64, kvm, qemu, sr-iov

Summary: Candidates must possess a minimum of 6 years of experience in Swift and iOS software engineering, with 8 years overall in mobile software engineering, alongside excellent communication skills for cross-functional partnerships. The ideal applicant is self-driven, proficient in iOS testing frameworks, experienced in developing scalable platform components, and demonstrates strong critical thinking and a willingness to mentor.

Skills: swift, ios software engineering, mobile software engineering, ios, mobile web views, product features, push notification systems, localization features, build pipelines, testing automation, release process, testing frameworks, platform components, design systems, infrastructure

Summary: Candidates must possess 5+ years of experience building backend services and APIs, with extensive proficiency in an Object Oriented Language like Java or Kotlin, including deep knowledge of testing and best practices. Experience shipping production services, scaling distributed systems, and strong cross-team communication skills are essential.

Skills: backend services, apis, java, kotlin, object oriented language, testing, quality, distributed systems, android applications, front end applications, ux collaboration, product management collaboration, feature design, mentoring, coaching

Summary: Candidates must have significant experience designing and owning public APIs used by external developers, possessing a strong point of view on API contracts, versioning, and developer ergonomics. Essential qualifications include experience scaling high-volume data APIs, expertise in systems integration, a track record of delivering large, high-impact technical changes, and demonstrated cross-team influence through mentoring and best practice adoption.

Skills: api design, scalability, data consistency, architectural direction, versioning, developer experience, refactoring, fault-tolerant systems, systems integration, data synchronization, mentoring, ai-assisted development, reliability engineering, contract design, high-volume data apis

Summary: Candidates must possess over 5 years of software development experience, specifically writing performant, large-scale distributed systems and highly concurrent systems. The role requires strong technical judgment, the ability to solve complex engineering problems, and the capacity to mentor junior developers.

Skills: distributed systems, scalability, stability, maintainability, rest apis, mentoring, concurrency, performance, golang, ruby, docker, rails, postgres, mongodb, dynamodb, blockchain

Summary: Candidates must have 5+ years of relevant hands-on engineering experience and hold a Bachelor's, Master's, or PhD in Computer Science or a related field. Essential expertise includes exceptional architecture abilities for large, high-scale applications and a proven track record of shipping large-scale projects with multiple cross-team dependencies.

Skills: software engineering, platform architecture, scalability, performance, reliability, technical design, ai-powered features, messaging intelligence, technical leadership, communication, project leadership

Summary: The ideal candidate is passionate about the mission of increasing economic freedom through crypto and blockchain technology, and thrives on solving the company's hardest problems under pressure. Experience with Ethereum, Solana, indexing, and/or scaling large systems is considered a plus.

Skills: staking, orchestration, ethereum, solana, indexing, scaling, api development, code review, debugging, platform services

Summary: Candidates must be self-starters capable of learning quickly and solving problems from first principles while maintaining focus on overarching objectives. Required experience includes building search, query, or analytic systems with structured/unstructured data, and full-stack web development using technologies like React, Node.js, and SQL.

Skills: react, node.js, typescript, javascript, sql, restful api, ci/cd pipelines, playwright, codeceptjs, mocha, cypress, jest, data visualization, distributed systems, saas platforms, query languages

Summary: Hybrid, high-impact role at Series A AI healthcare startup with rapid growth; mentorship-focused culture and leadership opportunities; no visa sponsorship; meaningful patient-care impact.

Skills: python, typescript, aws

Summary: Candidates must possess a BS, MS, or PhD in computer science or equivalent experience, along with at least 2 years of relevant experience in distributed systems, query, and stream processing. Strong fundamentals in distributed systems design and proficiency in Java, Scala, or other statically typed languages are required.

Skills: distributed systems, query processing, stream processing, system design, scalability, performance optimization, systems operations, java, scala, statically typed languages, distributed storage systems, databases, public clouds, mentorship

Summary: The ideal candidate leans full-stack with backend strength, capable of designing simple systems and shipping end-to-end customer features, including talking directly to customers. They must be comfortable across the full stack, excel in backend/data work, communicate exceptionally well, and embrace learning new technologies quickly.

Skills: full stack, backend strength, system design, customer facing features, ai agents, data pipelines, node.js, next.js, dagster, heroku, aws, data integration, legacy system integration

Summary: Candidates must have at least 5 years of full-stack engineering experience building production-grade software, ideally in large-scale distributed systems for consumer-facing applications. Strong foundations in data structures, algorithms, and systems design are prioritized over specific tech stack familiarity.

Skills: typescript, nest.js, next.js, react, react native, expo, graphql, postgres, dynamodb, clickhouse, redis, aws, microservices, systems design, data structures, algorithms

Summary: Candidates must have over 10 years of experience delivering complex, large-scale web applications, demonstrating deep expertise in languages like TypeScript, Go, and Python, alongside extensive experience with cloud platforms and distributed systems architecture. Essential attributes include outstanding communication skills, the ability to direct technical vision across teams, and a proven history of mentoring other engineers.

Skills: typescript, node.js, ember, python, go, docker, postgresql, kubernetes, cloud-native, distributed systems, architectural patterns, stakeholder management, mentoring, ai, agentic workflows, micro-frontend

Summary: Candidates must possess 8+ years of professional backend engineering experience with strong Java proficiency and architectural ownership, alongside experience modernizing legacy Java systems. Essential technical knowledge includes PostgreSQL, RESTful API design, system performance optimization, AWS, and infrastructure-as-code tooling like Terraform or Kubernetes.

Skills: java, backend engineering, architecture, python, typescript, c#, postgresql, restful api design, system performance optimization, aws, terraform, kubernetes, ansible, distributed systems, ci/cd, mentoring

Summary: Candidates must possess at least five years of full-stack engineering experience, ideally with large-scale distributed systems for consumer-facing software. Strong foundational knowledge in data structures, algorithms, and systems design is prioritized over specific framework experience.

Skills: full stack engineering, backend development, automation systems, distributed systems, data structures, algorithms, systems design, typescript, nest.js, next.js, react, react native, graphql, postgres, aws, microservices

Summary: Candidates must have 10+ years of professional software development experience, with strong full-stack expertise in Python/Go, React, and databases like PostgreSQL. A key requirement is a shift towards AI-first development, actively using AI tools, and experience provisioning cloud infrastructure, preferably on GCP.

Skills: rapid prototyping, fullstack development, python, go, react, postgresql, nosql, gcp, aws, ai-assisted development, llms, api design, cloud infrastructure, saas experience, enterprise software, ci/cd

Summary: Candidates must possess at least five years of full-stack engineering experience, ideally building large-scale distributed systems for consumer-facing software, with strong foundational knowledge in data structures, algorithms, and systems design. The role requires strong ownership, problem-solving abilities for ambiguous tasks, and comfort working asynchronously across time zones.

Skills: full stack engineering, backend development, automation systems, distributed systems, data structures, algorithms, systems design, typescript, nest.js, next.js, react, react native, graphql, postgres, aws, microservices

Summary: Candidates must possess extensive backend engineering experience, comfortable with Python/FastAPI, high-throughput real-time systems, and deployment on Google Cloud Platform (GCP). Strong communication, process orientation, detail orientation, and a QA mindset are essential for managing complex, unforgiving real-time bidding environments.

Skills: backend engineering, python, fastapi, real-time systems, google cloud platform, communication, process orientation, multitasking, detail orientation, qa mindset, api integration, data pipeline monitoring, technical partnership, high-throughput systems

Summary: Candidates must have 12+ years of software engineering experience, including significant time modernizing large-scale applications, demonstrating Staff/Principal level expertise. Required technical depth includes C#, modern .NET, service-oriented architectures, Azure cloud platforms, PostgreSQL, and proven reliability/observability practices.

Skills: technical strategy, architecture, cloud-native applications, azure, legacy system modernization, .net, react, apis, data access patterns, postgresql, resilience, opentelemetry, testing practices, ci/cd, disaster recovery, mentoring

Summary: Candidates must have strong experience with Python 3.x (including CLI development and typing) and solid experience with Go (shared library development, CLI patterns). Required infrastructure knowledge includes Bazel in a large monorepo, Docker, Kubernetes concepts, AWS, modern CI systems, and IaC mindset.

Skills: python, go, bazel, kubernetes, aws, ci/cd, cli tooling, grpc, protobuf, docker, helm, terraform, static analysis, monorepo, canary analysis, llm integration

Summary: Candidates must be experienced principal or lead full-stack engineers, highly skilled in both server-side and client-side development, and proficient with cloud development, particularly AWS. Strong fundamentals in Computer Science concepts, database proficiency (SQL/NoSQL), and experience with TDD and RESTful APIs are essential.

Skills: php, laravel, javascript, react, react native, vue, aws, lambda, ecs, eks, aurora, redshift, system architecture, tdd, restful apis, sql

Summary: Candidates should be passionate about helping developers, possess strong engineering skills with a product and user focus, and have great communication and collaboration abilities. Bonus points are given for experience with native apps in Rust or WASM, shell/Linux programming, server-side programming in Go, or graphics programming like OpenGL/WebG.

Skills: design, coding, code review, unit testing, integration testing, bug fixing, documentation, collaboration, performance improvement, reliability improvement, prototyping, full stack development, rust, wasm, go, graphics programming

Summary: Candidates must have over 6 years of experience in IAM securing applications, excellent troubleshooting skills, and scripting experience with PowerShell, along with a Bachelor's degree or equivalent experience. Essential expertise includes leading Oauth2, OIDC, and SAML projects, particularly with Auth0, and deep knowledge of SSO, MFA, and PAM.

Skills: identity and access management, iam, auth-0, azure ad, technical leadership, user migrations, certificate management, security enhancements, api calls, powershell, oauth2, oidc, saml, mfa, pam, rbac

Summary: Candidates must have over 6 years of experience in IAM securing applications, expertise with Auth0 tenant design and implementation, and experience leading Oauth2, OIDC, and SAML projects. Essential traits include strong troubleshooting skills, scripting experience (PowerShell), and a Bachelor's degree or equivalent enterprise experience.

Skills: identity and access management, iam, auth0, azure ad, technical leadership, certificate management, security enhancements, api calls, powershell, oauth2, oidc, saml, mfa, pam, rbac, agile development

Summary: Candidates need 2+ years of software engineering experience, a product-first approach with a focus on shipping impactful code quickly, and strong problem-solving abilities. Interest in life sciences is desired, and the role requires working onsite in the San Francisco office three days a week.

Skills: cloud infrastructure, aws, kubernetes, istio, service configuration, traffic management, platform tooling, eks, ecs, rds, vpc, ec2, s3, observability, metrics, logging

Summary: Candidates must possess 8+ years of experience with a major programming language and demonstrated experience operating high-scale production systems running on Kubernetes, including on-call participation. A strong background in observability tooling, time-series data, and technical leadership setting architectural direction is required.

Skills: kubernetes monitoring, observability, grafana cloud, metrics, logs, traces, prometheus, mimir, loki, tempo, opentelemetry, go, rust, python, java, .net

Summary: Candidates must have 8+ years of experience with a major programming language and demonstrated experience operating high-scale production systems running on Kubernetes, including on-call participation. A strong background in observability tooling, distributed systems concepts, and technical leadership, including mentoring others, is required.

Skills: kubernetes monitoring, observability, grafana cloud, metrics, logs, traces, prometheus, mimir, loki, tempo, opentelemetry, go, rust, python, java, .net

Summary: YC-backed startup building AI-powered compliance tools; own end-to-end features in a fast-moving team, with rapid production delivery and meaningful equity upside.

Skills: node.js, react, mongodb, postgresql, mysql, sql, nosql

Summary: Candidates must possess 8 or more years of software engineering experience, strong technical skills in any programming language, and a proven ability to deliver significant product or business impact. Essential capabilities include leading multi-engineer projects, demonstrating autonomy, expertise in software design and architecture, and excellent communication skills.

Skills: high-quality code, product ownership, technical leadership, production issue resolution, mentoring, software design, software architecture, next.js, typescript, postgresql, graphql, react, prisma, mui, github actions, sql

Summary: Candidates must possess proven technical depth, problem-solving skills, and leadership experience, capable of navigating ambiguity in complex, distributed systems while maintaining 99.99% production uptime. Essential qualifications include 7+ years of overall experience, with significant time in software development and DevOps, and proficiency in Kubernetes, Terraform, Python or Go, and AWS.

Skills: kubernetes, terraform, python, go, aws, redis, kafka/pubsub, relational databases, incident management, operational reliability, ci/cd, tracing, continuous delivery, cloud infrastructure, distributed systems, leadership

Summary: Candidates should have strong experience in fullstack development, preferably in a startup environment, and be comfortable owning features across the frontend, backend, and data layers. Required technical familiarity includes React, TypeScript, Node.js, and Postgres, alongside a track record of shipping reliable production systems.

Skills: fullstack development, backend services, frontend services, data pipelines, apis, react, typescript, node.js, postgres, testing, production deployment, architecture

Summary: High-ownership senior IC role focused on shipping AI-assisted product features at consumer scale; opportunity to influence product direction, tooling, and engineering culture without people management.

Skills: next.js, postgresql

Summary: Candidates must have 10–15 years of software engineering experience, including 4–7 years managing high-performing teams, with demonstrated ownership of systems requiring strict reliability, latency, and correctness constraints. Required domain experience includes pricing, fintech, lending, payments, marketplaces, or real-time decisioning systems, alongside strong system design skills.

Skills: backend engineering, team leadership, coaching, system ownership, technical strategy, architectural goals, production safety, observability, incident response, cross-functional collaboration, risk management, latency management, correctness constraints, system design, distributed systems, fintech

Summary: Candidates must possess over 7 years of software engineering experience, including proficiency in building and scaling shared systems and writing asynchronous Rust code for network services. A strong security-first mindset and deep understanding of distributed systems like Kafka and RPC protocols are essential.

Skills: rust, software engineering, systems ownership, architecture, distributed systems, security, observability, auditability, rpc protocols, kafka, event-driven systems, asynchronous code, debugging, scalability, low-latency, fault-tolerant

Summary: Candidates must have over 7 years of software engineering experience, proficiency in writing asynchronous Rust code for network services, and a strong security-first mindset during system design. A solid understanding of distributed systems technologies like Kafka and RPC protocols is also required, along with the ability to take end-to-end ownership.

Skills: rust, software engineering, network services, asynchronous code, security-first mindset, distributed systems, rpc protocols, kafka, event-driven systems, system design, debugging, mentorship, product intuition, low-latency solutions, testable code, ownership

Summary: Required qualifications include a minimum of 3 years of Enterprise Application Development experience, proficiency with AI tools, and experience with server software like Kafka, Redis, and MongoDB. Candidates must also demonstrate proven experience building REST APIs using stacks like .NET or C# and proficiency in modern Web UI development frameworks.

Skills: enterprise application development, ai tools, kafka, elastic, rabbitmq, vault, redis, mongodb, rest apis, .net, c#, node.js, automation tools, ci/cd, unit testing, javascript/typescript

Summary: Candidates should be senior developers with at least 6 years of experience in Enterprise B2B SaaS or Big Data processing within the JVM ecosystem, preferably with Kotlin experience. Ideal candidates will have experience working in a startup environment, demonstrating engineering impact and a willingness to work across all backend aspects in small teams.

Skills: java, kotlin, backend software engineering, enterprise b2b saas, big data processing, jvm ecosystem, gcp, google cloud sql, postgresql, firebase, python, natural language generation, enterprise api integrations, prompt engineering, large scale web scraping, parsing

Summary: Candidates should have 5+ years of experience in complex environments and be self-driven, optimistic, and resourceful, with an openness to approximately 50% back-end and 50% front-end work. No specific robotics background is required, but excitement for the domain is valued.

Skills: mrp systems, mes systems, inventory management, work order management, production tracking, api development, robotic systems integration, real-time systems, event-driven systems, system architecture, react, typescript, node.js, python, postgresql, gcp

Summary: Candidates must possess 15+ years of progressive engineering and technology leadership experience, including leading organizations of 50+ engineers, with a Bachelor's degree in a related field. A deep technical background in areas like mobile, web platforms, distributed systems, or cloud architecture is required, along with proven success in operational excellence and managing hybrid engineering models.

Skills: leadership, strategy, architecture, scalability, reliability, performance, privacy, security, mobile engineering, web platforms, apis, cloud architecture, containerization, ci/cd, devops, agile/scrum

Summary: A Master’s degree in a relevant engineering or computer science field plus three years of experience is required, along with two years of specific experience in areas like low-level driver optimization for Qualcomm chipsets and designing scalable kernel improvements. Candidates must be proficient in low-level power management techniques and secure computing features using modern C/C++ and various embedded development tools.

Skills: kernel, synchronization primitives, resource allocators, memory management, security, i/o systems, persistence, driver development, low-latency data, performance profiling, device bring up, c/c++14/17, arm scm, qualcomm tz, hypervisor, dvfs

Summary: Candidates must possess 10+ years of software development experience, including significant senior/staff-level tenure, demonstrating expertise in designing and maintaining highly scalable, reliable, full-stack systems. Essential requirements include strong technical depth across frontend, web servers, and databases, excellent communication skills for technical and non-technical audiences, and high AI fluency to drive pragmatic adoption.

Skills: full-stack development, architecture, microservices, node, python, react, postgres, redis, snowflake, aws, kubernetes, ci/cd, system design, ai fluency, mentorship, cross-functional collaboration

Summary: Candidates must have extensive experience building large-scale, low-latency distributed systems and real-time data processing pipelines capable of ingesting billions of daily ad events. Required expertise includes building monitoring/auditing systems and hands-on integration with ad technologies like SSPs, DSPs, or Ad Servers, alongside a deep understanding of programmatic advertising.

Skills: large-scale distributed systems, low-latency data processing, real-time data processing, high-availability pipelines, ad events ingestion, monitoring systems, alerting systems, auditing systems, ad technologies integration, ssps, dsps, ad servers, programmatic advertising, apache druid, cloud-based applications, object-oriented programming

Summary: Candidates must possess over 3 years of software engineering experience focused on building production-grade backend systems, requiring strong proficiency in Python and Django for API development. Essential technical knowledge includes extensive experience with SQL databases (preferably Postgres) and deploying services on AWS.

Skills: python, django, apis, sql, postgres, aws, webrtc, real-time data streaming, ai/ml infrastructure, backend services, data processing infrastructure, llm

Summary: Candidates must have 3+ years of professional software engineering experience building production-grade frontend systems, demonstrating strong proficiency with JavaScript/TypeScript, React, and Next.js. Proven ability in building scalable web applications, integrating with APIs, and possessing a strong understanding of UI/UX principles is required.

Skills: javascript, typescript, react, next.js, system design, api integration, restful apis, graphql apis, ui/ux principles, real-time data visualization, webrtc, frontend performance optimization

Summary: Candidates should have 6+ years of engineering experience, with at least 3 years in SRE/CRE/production engineering, preferably with formal customer reliability engineering experience. Required technical skills include strong Kubernetes experience across major cloud providers, familiarity with infrastructure-as-code tools, experience with multi-tenant systems, and proficiency in at least one programming language like Go or Python.

Skills: site reliability engineering, kubernetes, aws, gcp, azure, infrastructure-as-code, helm, terraform, jsonnet, multi-tenant systems, slos, go, python, java, linux operating systems internals, incident response

Summary: Candidates must have 4+ years of software engineering experience, including designing, developing, and launching scalable backend systems using technologies like Python, Kotlin, AWS, MySQL, and Kubernetes. Experience shipping web applications with frameworks like React or Vue, and strong communication skills are also required.

Skills: backend systems, web interfaces, mobile interfaces, high-availability systems, low-latency systems, python, kotlin, aws, mysql, kubernetes, react, vue, code review, design standards, technical planning

Summary: Candidates must possess 8+ years of experience with a major programming language and demonstrated experience operating high-scale production systems running on Kubernetes, including on-call participation. A strong background in technical leadership, distributed systems, and observability tooling is essential for success in this role.

Skills: kubernetes, observability, metrics, logs, traces, prometheus, mimir, loki, tempo, opentelemetry, go, rust, python, java, .net, distributed systems

Summary: Candidates must have 8+ years of software engineering experience, focusing on modern front-end frameworks and mobile environments, with a proven ability to optimize complex systems for performance and efficiency. Demonstrated leadership, including mentoring senior engineers and driving organizational improvements, along with strong communication skills, is essential.

Skills: front-end technical strategy, performance improvements, web clients, mobile clients, technical roadmap, low latency interface, technical guidance, career mentorship, code quality, system design, rendering performance, network efficiency, state management, leadership, communication

Summary: Candidates must possess 6+ years of experience, including expertise in designing scalable and resilient large-scale service-oriented architectures and leading projects end-to-end. A strong sense of user empathy and excellent communication skills are also essential for success in this role.

Skills: designing scalable architectures, resilient architectures, service-oriented architectures, project leadership, third party apis, authentication, secure signing mechanisms, reliability, efficiency, availability, system quality, tradeoff analysis, user empathy, end-to-end mentality, communication skills

Summary: Candidates must have 12+ years of experience operating at a Staff or Principal level, demonstrating a proven ability to simplify complex systems and reduce architectural entropy. A strong background in distributed systems, performance optimization, and experience building AI-integrated systems using LLMs is required, alongside comfort working across both backend systems and modern frontend frameworks like React.

Skills: distributed systems, performance optimization, llm orchestration, tool usage, retrieval, evaluation, backend systems, frontend frameworks, react, api design, service contracts, observability, slo discipline, system design, data infrastructure, generative ai

Summary: Candidates must have at least 8+ years of professional experience, including 3-5 years working with Rust, C/C++, or Python, and end-to-end experience building web-scale applications or microservices. Required technical experience includes cloud technologies (AWS/GCP/Azure), containerization (Docker, Kubernetes), and NoSQL databases, alongside proven Linux system programming skills.

Skills: rust, c++, python, microservices, hybrid cloud, ci/cd, aws, gcp, azure, docker, kubernetes, nosql, cassandra, mongodb, linux system programming, confidential computing

Summary: Candidates must possess over five years of experience building data-intensive software solutions and be proficient in Go or willing to quickly learn it, alongside practical experience with Kubernetes and major cloud platforms. Strong problem-solving skills, production debugging capabilities, and clear written and verbal communication are essential.

Skills: go, kubernetes, cloud-native, production debugging, data-intensive systems, postgres, mysql, mongodb, iceberg, delta lake, bigquery, snowflake, cdc, temporal, avro, parquet

Summary: Candidates must have over 10 years of experience developing production-quality code, strong technical leadership skills, and a solid understanding of object-oriented design, data structures, and distributed systems challenges. Required technical experience includes working with relational database schemas, third-party integrations like REST APIs, and CI/CD tooling, with an expectation to work during Pacific Time Zone hours.

Skills: technical leadership, mentorship, relational database schemas, object oriented design, functional programming, data structures, algorithms, communication, rest apis, json, distributed systems, secure applications, application performance, ci/cd tooling, typescript, react

Summary: Candidates must possess 8+ years of industry experience with strong fullstack capabilities, proven experience building user-facing features and platform services, and technical leadership experience including mentoring and driving architecture decisions. Essential technical skills include React, TypeScript, and GraphQL, alongside comfort working in ambiguity and an interest in security/compliance.

Skills: fullstack capabilities, api design, ui component building, react, typescript, graphql, technical leadership, mentoring engineers, architecture decisions, platform development, on-call rotation, production operations, cross-functional collaboration, code reviews, ai application

Summary: Candidates need 8+ years in software engineering or a highly analytical role, with at least 1+ year focused on applied AI or Generative AI, possessing deep expertise in LLMs, agent frameworks, and strong coding skills in Python and Golang. Essential requirements include exceptional business acumen to translate challenges into AI opportunities and strong consulting skills to influence stakeholders and drive adoption.

Skills: ai automation, generative ai, llms, agentic ai, python, golang, system design, prototyping, cross-functional collaboration, prompt engineering, responsible ai, roi measurement, microservices architecture, stakeholder influence, security, compliance

Summary: Candidates should have 5+ years of experience working in complex environments and possess strong technical skills, excelling in dynamic settings. The ideal candidate is expected to perform approximately 50% back-end and 50% front-end work, prioritizing simplicity, reliability, and execution.

Skills: architecting, software development, mrp systems, mes systems, inventory management, work order management, production tracking, api development, robotic systems integration, real-time systems, event-driven systems, reliability engineering, react, typescript, node.js, python

Summary: Candidates must have 8+ years of experience in software engineering and a proven track record of architecting and developing solutions for ambiguous problems with significant impact. A passion for building an open financial system that brings the world together is highly valued.

Skills: distributed systems, technical direction, mentoring, intellectual curiosity, full-stack minded, data-driven, high agency, high velocity, systematic execution, architecture, roadmap definition, project management, design techniques, coding standards, infrastructure components, high quality code

Summary: Candidates must have 5+ years of engineering management experience, including leading managers or multiple teams, coupled with strong prior experience as a software, platform, or infrastructure engineer capable of deep technical engagement. Proven experience owning production infrastructure at scale, data-driven decision-making, and strong change agility are essential.

Skills: software engineering management, infrastructure management, cloud infrastructure, developer platforms, reliability engineering, security, ai/llm workloads, mlops, data pipelines, incident management, capacity planning, disaster recovery, ci/cd, infrastructure-as-code, cost management, talent development

Summary: Candidates must demonstrate the ability to drive complex, multi-quarter roadmaps with cross-team dependencies and exhibit strong horizontal technical leadership across multiple engineering teams. A key requirement is the ability to manage quality and performance across large-scale, complex systems while understanding relevant metrics and SLOs.

Skills: backend systems, ml, data, product development, system scalability, real-time applications, low latency, cloud infrastructure, roadmap definition, technical leadership, performance metrics, slos, web development, mobile development, seo, referrals

Summary: Candidates must have 5+ years leading engineering teams and 8 to 11 years of professional software engineering experience, including leading consumer-facing teams and full-stack development with a Java backend. Required technical skills include Java with Spring Boot, system architecture, and basic cloud infrastructure understanding.

Skills: software design, software development, engineering leadership, software architecture, testing, ai technologies, data infrastructure, machine learning, java, spring boot, algorithmic thinking, data structures, restful apis, system architecture, aws, scrum

Summary: Successful candidates must be proven SaaS engineering builders with deep experience in designing complex, mission-critical systems, comfortable with backend services in Python or Node.js, and proficient in modern AI-driven development workflows. They should possess strong platform thinking, familiarity with event-driven systems (like Kafka/SQS), and a proactive, customer-focused approach to shipping iterative solutions through ambiguity.

Skills: backend development, full stack development, ai automation, system resilience, api design, database modeling, ci/cd, event-driven systems, kafka, sqs, fastify, datadog, grafana, graylog, customer focus, saas engineering

Summary: Candidates must have 5+ years of professional experience, including at least 2 years each in software and data engineering, with deep experience using Databricks for pipeline building and dashboard development. Proficiency in SQL and Python, along with proven ability to operate scalable data platforms and mentor teammates, is required.

Skills: data architecture, databricks, palantir foundry, telemetry ingestion, predictive modeling, data lakehouse, ai-driven tools, data quality, data lineage, data governance, sql, python, data transformation, orchestration, visualization, mentoring

Summary: Candidates must possess 8+ years of industry experience with expert-level knowledge of the Microsoft .NET technology stack, including C#, ASP.NET MVC, Web APIs, and SQL databases. A Bachelor's, Master's, or PhD in a related technical field is required, along with strong communication skills and experience with standard developer tools.

Skills: microsoft .net, c#, asp.net mvc, web apis, sql databases, microsoft sql server, html5, javascript, react, knockout.js, data-driven approach, a/b testing, git, unit testing, debugging, profiling

Summary: Candidates must possess a Bachelor’s degree in Computer Sciences/Software Engineering or relevant experience, along with a minimum of 6 years in software development, including at least 3 years of professional Python experience. Substantial experience with Microsoft Azure technologies, Azure DevOps Services, Git, Databricks/Apache Spark, and MongoDB is required.

Skills: python, azure app service, azure api management, azure service bus, azure application insights, azure application gateway, azure event grid, azure key vault, azure sql, azure devops services, git, databricks, apache spark, mongodb, net, c#

Summary: Candidates must possess a BS or MS in Computer Science or equivalent experience, with 12+ years in software and systems engineering, including leadership experience. Essential technical requirements include extensive experience with C#/ASP.Net Core for building RESTful services and scalable applications, plus 8+ years in backend development, databases, and cloud platforms, alongside breadth in front-end technologies.

Skills: c#, asp.net core, restful web services, web applications, cloud applications, backend development, database, data pipeline management, react, angular, nextjs, jquery, nautobot, servicenow, jira, hana

Summary: Candidates must have 7+ years of experience in backend development using Go, C, or Rust, coupled with a strong understanding of distributed systems and high-throughput data pipelines. Experience with Timeseries Databases, object storage, and designing tiered storage strategies at scale is highly beneficial.

Skills: backend development, go, c, rust, distributed systems, concurrency, high-throughput data pipelines, timeseries databases, object storage, distributed filesystems, tiered storage strategies, data eviction, collaboration, node.js, react, grpc

Summary: Candidates must have 5+ years of experience designing and implementing robust backend services, demonstrating the ability to develop scalable and secure APIs integrating with various systems. Proven experience with microservices architecture, containerization, and API lifecycle management best practices is required.

Skills: backend services, scalable apis, api lifecycle management, microservices architecture, containerization, dynamodb, postgresql, kotlin, java, event sourcing, olap, etl/elt, streaming data, payments apis, pci-dss

Summary: Candidates must possess 5 years of relevant experience with a BS/MS degree in Computer Science or a related field, along with 5 years of experience in distributed systems, Linux networking, and core protocols like TCP/IP and HTTP. Proficiency in languages such as Java/TypeScript, Go, C, or C++ is required, alongside expertise in at least one scripting language.

Skills: c/c++, go, java, typescript, python, perl, shell, distributed systems, linux networking, tcp/ip, ssh, ssl, http, multithreading, concurrency, debugging

Summary: Candidates must possess 5 years of relevant experience with a BS/MS degree in Computer Science or a related field, along with 5 years of experience in distributed systems, Linux networking, and core protocols like TCP/IP and HTTP. Proficiency in languages such as Java, Go, C, or C++ is required, alongside expertise in at least one scripting language.

Skills: c/c++, go, java, typescript, python, perl, shell, distributed systems, linux networking, tcp/ip, ssh, ssl, http, multithreading, concurrency, debugging

Summary: Candidates must have 5+ years of software engineering experience with hands-on familiarity with enterprise integrations such as SSO, SCIM provisioning, and MFA. A strategic mindset, passion for technical collaboration, and the ability to lead initiatives while mentoring are also required.

Skills: authentication, authorization, security, compliance, public apis, auditability, full stack, oauth, rbac, sso, scim-based provisioning, mfa, delegated access, observability, reliability, api development

Summary: Candidates must have a Bachelor's degree in Computer Science or similar, coupled with over 10 years of experience building services utilizing cloud-native infrastructure and tooling. Essential technical expertise includes deploying Kubernetes on bare-metal/cloud and proficiency with IaC/GitOps tools like Terraform, Ansible, Helm, and Kustomize.

Skills: cloud-native infrastructure, kubernetes, talos, rke2, proxmox, k3s, terraform, ansible, helm, kustomize, iac, gitops, platform optimization, alloy, prometheus, grafana

Summary: Candidates must have 6+ years of experience designing, building, and operating production systems, along with familiarity with C/C++ and a modern programming language codebase. Excellent communication skills and the ability to work non-standard, on-call rotation hours are also required.

Skills: device fingerprinting, fraud detection, fraud prevention, design docs, code review, observability, incident response, mentoring, c/c++, javascript, go, webassembly, reverse engineering, browser automation, botting, security software engineering

Summary: Candidates should have 8+ years of experience in software engineering or applied machine learning, focusing on building real-world AI/ML systems, or equivalent experience in healthcare-specific AI solutions. Proficiency in Python backend engineering, solid understanding of embeddings/embedding databases, and experience deploying cloud-native applications on AWS are required.

Skills: artificial intelligence, machine learning, python, language technologies, voice technologies, agentic ai, ml/ai architecture, sdlc ownership, backend services, technical leadership, aws bedrock, nlp, embeddings, embedding databases, cloud-native applications, technical mentorship

Summary: Candidates should have 5+ years of experience building complex distributed systems, strong proficiency in Python and Django, and a deep understanding of Linux-based systems. Experience with AWS, observability tools like Grafana/Datadog, and front-end technologies like React is preferred.

Skills: python, django, linux, aws, aws iot, grafana, datadog, react, distributed systems, iot, robotics, edge systems, cloud systems, data collection, remote diagnostics, video streaming

Summary: Candidates must have at least six years of experience in a production environment building highly scalable distributed systems, coupled with solid computer science fundamentals in distributed systems concepts like multi-threading and concurrency. A minimum of two years developing customer-facing APIs and frameworks, along with strong concurrent coding skills in languages such as Go or Java, are also required.

Skills: backend service features, design, implementation, testing, documentation, logging, metrics, alerting, runbooks, distributed systems, multi-threading, concurrency, customer facing apis, frameworks, concurrent code, go

Summary: Candidates must be excellent engineers capable of shipping reliable internal tools, building integrations, and debugging production systems, with deep, hands-on experience using AI coding tools in real engineering work. Essential qualities include strong systems thinking, the ability to influence without authority across different departments, and a strong bias toward measurement and data-driven iteration.

Skills: agent infrastructure, internal platform development, developer experience, ai workflows, measurement and attribution, experimentation, evaluation, internal tooling, llmops practices, rag, systems thinking, influence without authority, data measurement, security and compliance familiarity, knowledge systems building, debugging production systems

Summary: Candidates must have 5-10 years of experience writing production-grade code in modern languages like Go, Java, or Python, along with experience operating large-scale distributed systems on cloud infrastructure such as AWS. Required experience also includes container orchestration frameworks and shipping services using a CI/CD paradigm.

Skills: go, java, python, kubernetes, eks, ecs, aws, apis, ci/cd, async processing systems, ai tooling, system design, data modeling, performance bottlenecks, technical communication

Summary: Candidates must possess a Bachelor's or Master's degree in a related field along with 5+ years of software development experience, demonstrating strong proficiency in languages like Python, Java, or Scala. Essential requirements include significant experience building frameworks for big data technologies such as Spark and Kafka, coupled with practical experience using AWS technologies at scale.

Skills: python, java, scala, spark, kafka, hive, hudi, presto, airflow, aws lakeformation, glue, athena, distributed computing, object-oriented programming, functional programming, design patterns

Summary: Candidates are required to have 6+ years of experience designing, building, and operating production systems, along with familiarity with C/C++ and a modern programming language codebase. A Bachelor's degree in Computer Science or related industry experience is necessary, and the role requires availability for non-standard, on-call rotation hours.

Skills: fraud detection, device fingerprinting, design docs, code review, observability, incident response, mentoring, c/c++, javascript, go, webassembly, reverse engineering, botting, security software engineering, system design, technical leadership

Summary: Candidates must possess 8+ years of experience building backend services and APIs, with extensive proficiency in an Object Oriented Language like Java or Kotlin, including deep knowledge of testing and best practices. Essential requirements include experience shipping production services, scaling distributed systems, and strong cross-team communication skills.

Skills: java, kotlin, backend services, apis, object oriented language, testing, quality assurance, distributed systems, android applications, front end applications, design, deployment, maintenance, automated testing, communication, mentoring

Summary: Candidates must have 5+ years of professional software engineering experience building and operating production web applications, with demonstrated experience owning and delivering complex, user-facing features end-to-end. Strong experience with both frontend development using React and TypeScript, and backend service development is required.

Skills: react, typescript, frontend development, backend development, apis, graphql, go, performance tuning, reliability, technical leadership, full-stack engineering, data-intensive applications, model optimization, experiment tracking, user interface development

Summary: Candidates must have 5+ years of experience building production web applications with strong competency in both backend and frontend systems, specifically using technologies like Go or React. Essential requirements include comfort with ambiguity, pragmatic decision-making, skill in evaluating performance and operational cost, and strong communication abilities for cross-team alignment.

Skills: full stack development, go, react, api design, data modeling, usage metering, cost transparency, system reliability, observability, stakeholder collaboration, technical debt evaluation, pragmatic decision-making, cross-functional alignment, software engineering, ai infrastructure, billing systems

Summary: Candidates must possess extensive experience with modern JavaScript/TypeScript and React, along with demonstrated expertise in front-end performance optimization for rendering large datasets at 60fps. Knowledge of web-based visualization libraries is required, with preference given to those familiar with React-vis and uPlot or those interested in the AI/ML ecosystem.

Skills: javascript, typescript, react, data visualization, front end engineering, performance optimization, line charts, scalable charting components, web-based visualization libraries, react-vis, uplot, machine learning workflows, ai/ml ecosystem

Summary: Candidates must possess 5+ years of professional software engineering experience with strong proficiency in Go for backend development, complemented by experience in TypeScript and React for frontend work. Essential requirements include hands-on experience with SQL databases, production system maintenance, and familiarity with cloud platforms like GCP, AWS, or Azure.

Skills: go, typescript, react, sql, mysql, cloud platforms, docker, containerization, distributed systems, rbac, scim integrations, oidc, sso, oauth, kubernetes, redis

Summary: Candidates must have 4+ years of software engineering experience focused on data platforms or distributed systems, along with strong fundamentals in a modern language like Python, Go, or TypeScript. Required experience includes designing and scaling customer-facing APIs using systems like Kafka or Clickhouse, and hands-on work with Kubernetes and a major cloud provider.

Skills: software engineering, data platforms, distributed systems, python, go, typescript, api design, mysql, postgres, clickhouse, bigtable, pub/sub, kafka, kubernetes, terraform, gcp

Summary: Candidates must have 8+ years of software engineering experience, with at least 2 years focused on performance optimization, scalability, or observability, and proficiency in Go, Python, or TypeScript. Deep understanding of distributed systems concepts and experience designing and implementing load testing or benchmarking frameworks are essential.

Skills: performance optimization, systems scalability, observability, go, python, typescript, systems-level debugging, profiling, distributed systems, load testing, benchmarking, prometheus, grafana, opentelemetry, ci/cd integration, data analysis

Summary: Candidates must have 8+ years of software engineering experience with strong, language-agnostic fundamentals in computer systems, including parallel computing and concurrency. Required expertise includes containerization, Kubernetes, distributed systems, cloud infrastructure, and building highly available, fault-tolerant systems.

Skills: software engineering, computer systems, parallel computing, concurrency, asynchronous programming, networking, inter-process communication, containerization, container orchestration, kubernetes, scheduling, networked filesystems, resource allocation, distributed systems, cloud infrastructure, python

Summary: The ideal candidate should possess a strong understanding of distributed systems and architectural decisions affecting performance, excel in cross-functional teamwork, and demonstrate a focus on quality by writing scalable, testable code.

Skills: scala, react, gcp, openapi, bigquery, pub/sub, distributed systems, microservices architecture, agile, testable code, cross-functional collaboration, ux design, cloud experience

Summary: The ideal candidate should possess a strong understanding of distributed systems and architectural decisions, excel in cross-functional collaboration, and demonstrate a proactive focus on quality by writing scalable, testable code.

Skills: scala, react, gcp, openapi, bigquery, pub/sub, distributed systems, microservices architecture, agile, testable code, cloud experience, ux design, figma

Summary: Candidates must possess 6 to 20 years of backend software engineering experience, with strong hands-on development skills preferably in Go or Java, alongside excellent computer science fundamentals. Required expertise covers distributed architectures, identity and access management protocols (OAuth 2.0, SAML, OIDC), and experience with compliance frameworks like SOC 2 and GDPR.

Skills: go, java, distributed systems, microservices, kubernetes, ci/cd, sql, oauth 2.0, saml, oidc, webauthn, pki, soc 2, iso 27001, gdpr, ccpa

Summary: Candidates must have over 3 years of experience as an engineering manager and 5+ years as a software engineer, with proven success leading teams through rapid growth, ideally in a startup environment. Key requirements include the ability to set and execute strategy, make pragmatic technical decisions, and demonstrate excellent cross-functional collaboration skills.

Skills: engineering management, full stack engineering, roadmap definition, technical decision making, delivery ownership, recruiting, mentoring, career development, performance management, engineering practices, architecture, culture building, react, graphql, typescript, python

Summary: Candidates must possess 8+ years of software development experience, with expertise in modern TypeScript/JavaScript, React/React Native/Next JS, and familiarity with component architecture and responsive UI design. A strong background in shipping production AI systems and mobile apps using Expo, along with experience in testing frameworks, is required.

Skills: typescript, javascript, react, react native, next js, graphql, apollo, node js, server-side rendering, ai coding assistant tools, llm apis, expo, jest, react native testing library, maestro, figma

Summary: Candidates must have 3+ years of professional software engineering experience with strong proficiency in Python in production environments, alongside demonstrated experience with agentic coding tools and building distributed systems supporting AI workflows. Solid expertise with AI model integration, agent frameworks, and cloud platforms is also required.

Skills: python, agentic coding, distributed systems, microservices, backend apis, ai models integration, langchain, vector databases, cloud platforms, containerization, docker, kubernetes, ci/cd pipelines, performance optimization, react, typescript

Summary: Candidates must have 8+ years of professional software engineering experience, with a strong focus on backend development and distributed systems, alongside a Bachelor's or Master's degree in a related field. Deep expertise in TypeScript, Postgres, and AWS services is required, along with a lean mindset focused on minimizing waste and iterative delivery.

Skills: technical leadership, system architecture, react js, typescript, postgres, aws, serverless, system design, scalability, performance optimization, a/b testing, coding standards, troubleshooting, mentoring, continuous improvement, debugging

Summary: Candidates need 12+ years in cloud software development with 5+ years specializing in AI/ML, requiring expertise in generative AI models, deep learning frameworks (TensorFlow, PyTorch, JAX), and programming languages like Python. A Bachelor's, Master's, or Ph.D. in a related technical field is required, along with strong skills in MLOps and system design.

Skills: generative ai, deep learning, tensorflow, pytorch, jax, python, transformer architectures, model training, fine-tuning, prompt engineering, ml ops, docker, kubernetes, data engineering, system design, ci/cd

Summary: Candidates must possess 10 or more years of applicable experience, including at least 5 years focused on front-end engineering and scalable UI systems, with a Bachelor's degree required. Essential qualifications include expert proficiency in React, TypeScript, modern styling, and experience building and maintaining design systems, alongside familiarity with full-stack integration.

Skills: react, javascript, typescript, html5, css3, design systems, component library, accessibility, wcag, node.js, rest, graphql, sql, nosql, redux, zustand

Summary: Candidates need 15+ years of experience in complex backend systems design and development, proficiency in Java, Python, or Go, and experience with technologies like Trino, Kubernetes, and relational databases. A pragmatic, low-ego, highly autonomous approach with strong problem-solving skills is essential, along with US Citizenship.

Skills: java, python, go, trino, kubernetes, postgresql, restful apis, identity federation, keycloak, airflow, ci/cd, data ingest, api development, deployment automation, problem-solving, system reliability

Summary: Required experience includes shipping Node.js services in production, strong knowledge of AWS infrastructure and services for deployment and scaling, and experience building backend systems that serve mobile applications. Familiarity with iOS and/or Android development is needed for effective collaboration on SDK integration.

Skills: node.js, aws, backend services, mobile integration, sdk integration, infrastructure scaling, real-time systems, low latency, ai features, service architecture, high availability, call screening, spam detection, caller id, call transcription, system operation

Summary: Candidates must have over 2 years of experience in a backend engineering role, preferably in a product-focused setting, and demonstrate a commitment to building high-quality software. A solid understanding of engineering fundamentals and eagerness to contribute to new features from inception are also required.

Skills: backend engineering, product-focused environment, high-quality software, infrastructure improvement, system reliability, product development, user flows, platform development

Summary: Candidates must possess 8+ years of software engineering experience, preferably in a high-growth startup environment, with substantial experience in manufacturing software including SCADA and PLC programming. A working knowledge of dev-ops and full-stack development, along with strong self-management and communication skills, is also required.

Skills: scada, plc programming, dev-ops, full-stack development, software engineering, machine software, testing, observability, release management, commissioning, integration

Summary: Candidates must possess over 5 years of software engineering experience, preferably in fintech, with strong proficiency in backend languages like Python or Go, and experience with cloud infrastructure such as AWS or GCP. A Bachelor's Degree in Computer Science or a related field is required.

Skills: backend development, system design, python, go, aws, gcp, distributed systems, databases, api development, scalability, reliability, security, mentoring, financial infrastructure, underwriting, compliance

Summary: Candidates must have over 3 years of industry experience, proficiency in Rust (or C/C++), and competence in Python, along with excellent communication skills and high experience with version control (preferably Git) and UNIX-style systems. Experience with low-latency, multi-model orchestration for AI applications is a plus.

Skills: rust, c++, c, python, git, unix-style systems, speech processing, networking, observability, model orchestration, low-latency, ai models, rag systems, testability, communication, organizational skills

Summary: Candidates must possess over 5 years of experience building and shipping production software, with proficiency in Ruby on Rails or Python, and strong SQL/Postgres fundamentals. Interest in working across the full stack, including database, backend, and frontend using JavaScript or TypeScript/React, is also required.

Skills: ruby on rails, python, sql, postgres, javascript, typescript, react, api design, scalable services, agile processes, mentoring, on-call rotation, data models, performance tuning, cross-functional collaboration, graphql

Summary: Candidates must have 5+ years of experience designing, building, and operating high-scale, mission-critical cloud-based production systems, along with extensive experience in RESTful API design and development. A Bachelor's degree in Computer Science or related industry experience is required, and the role involves an on-call rotation including weekends and holidays.

Skills: backend development, distributed systems, security, latency optimization, developer experience, api design, authentication, authorization, kubernetes, dynamodb, go, observability, incident response, mentoring, design docs, code review

Summary: Candidates must have 6+ years of backend experience, ideally in a high-growth startup, demonstrating deep understanding of distributed systems, database performance, and API design for data-intensive services. Proficiency in TypeScript/Node.js is preferred, alongside infrastructure savvy with cloud-native tools like Kubernetes and AWS.

Skills: typescript, node.js, postgresql, redis, kubernetes, aws, distributed systems, api design, data-intensive services, ci/cd, observability, python, go, ai orchestration, backend development

Summary: Required qualifications include 7+ years of experience designing, building, and operating high-scale, mission-critical cloud-based production systems, along with experience designing technical services and leading teams through implementation. A Bachelor’s degree in Computer Science or related industry experience and excellent communication skills are also necessary.

Skills: backend software engineering, system scaling, authentication, authorization, api design, distributed services, security, latency optimization, design docs, code review, observability, incident response, mentoring, go, kubernetes, dynamodb

Summary: Candidates must possess a Bachelor's or Master's degree in a related field and have 8+ years of software development experience, including a proven track record of delivering complex data projects at scale. Required expertise covers big data technologies like Hadoop/Spark/Kafka, large-scale AWS systems, and proficiency in languages such as Python, Java, or Scala.

Skills: distributed systems, data technologies, software engineering, architecture, implementation, data systems, storage solutions, processing frameworks, technical innovation, mentoring, data quality, data integrity, data security, python, java, scala

Summary: The ideal candidate possesses strong systems thinking, the ability to read and understand large, unfamiliar codebases, and empathy for downstream users, coupled with a discipline for thorough testing. Required technical proficiency includes the JVM ecosystem (Java/Scala), experience with Rust is highly desired, and familiarity with Python, SQL, and data processing tools like Spark.

Skills: systems thinking, scala, rust, python, sql, spark, jvm ecosystem, distributed systems design, observability, resilience engineering, developer tooling, ai tool adoption, data layer redesign, fearless code reading, testing discipline

Summary: Candidates must have a minimum of 10+ years of software engineering experience, including 5 years managing software teams and multiple work streams, along with a Bachelor's or Master's degree in a related technical field. Required technical expertise includes REST APIs, Java/GoLang, datastores (Aurora, DynamoDB), container technologies (Docker/Kubernetes), and strong familiarity with agile processes and CI/CD.

Skills: people leadership, technical strategy, operational excellence, agile processes, continuous integration, test automation, problem solving, communication, rest apis, java, golang, aurora, dynamodb, docker, kubernetes, ci/cd pipelines

Summary: Candidates must have 5+ years of full-time experience in a software engineering role on a platform engineering team and proficiency in languages like Go, Java, Python, Terraform, YAML, or Bash. Experience with Kubernetes GitOps deployments and developing in an AWS cloud environment focusing on specific services is also required.

Skills: go, java, python, terraform, yaml, bash, kubernetes, gitops, argo cd, argo rollouts, argo workflows, aws, ec2, eks, asg, aurora

Summary: Candidates must demonstrate strong proficiency in programming languages like Java or similar, coupled with a solid understanding of API development frameworks, system architecture, and backend development principles. Required experience also includes working with distributed cloud services, microservices architecture, and database management for high-throughput applications.

Skills: java, scala, python, react, node.js, api design, system architecture, cloud services, microservices, database management, problem-solving, communication

Summary: Candidates must have 7+ years of experience building and operating highly scalable, distributed systems with a focus on security and reliability, alongside direct experience working with agents and/or Large Language Models (LLMs). Strong hands-on coding skills, expertise in designing resilient systems, and proven ability to lead technical initiatives while mentoring teams are essential.

Skills: llm, ai agents, distributed systems, security, reliability, latency optimization, developer experience, architecture design, authentication, authorization, go, kubernetes, dynamodb, oauth, saml, oidc

Summary: Candidates need a Bachelor’s Degree in CS or equivalent experience, plus 5+ years of software development experience shipping multiple products. Required proficiency includes one or more languages like Java/Scala/C/C++ and experience with AWS, Kubernetes, CI/CD, Docker, asynchronous patterns (Kafka/SQS), and database technologies.

Skills: java, scala, c, c++, asynchronous programming, multi-threading, aws cloud solutions, kubernetes/eks, ci/cd pipelines, docker, kafka, sqs, rabbitmq, relational databases, non-relational databases, sql queries

Summary: Candidates must have 10 to 13 years of experience with C#, .Net, and C++, demonstrating a commitment to writing clean, well-documented code using practices like TDD and unit testing. The role requires strong analytical and problem-solving skills to design scalable and maintainable solutions.

Skills: c#, net, c++, design, development, testing, deployment, support, code quality, code reviews, automated testing, performance monitoring, problem solving, scalability, maintainability, tdd

Summary: Candidates must demonstrate long-term success over 10+ years, acting as a trusted expert capable of guiding ambiguous initiatives and architecting scalable solutions across diverse technology stacks and client industries. Essential experience includes leading production software delivery, applying AI-assistive tools, building AI/ML features, and successfully leading system modernization efforts.

Skills: consulting, software architecture, python, java, javascript, typescript, react, ruby, scala, r, sql, go, ai/ml integration, automated testing, system modernization, scalability

Summary: Candidates must have at least 6 years of professional experience, strong ownership, and proficiency with data infrastructure technologies like Python, Airflow, Snowflake, dbt, and strong SQL skills. Experience building user-facing web applications using React is also required.

Skills: python, airflow, snowflake, dbt, sql, react, a/b testing, data infrastructure, mentoring, engineering excellence, problem definition, delivery, ai-first technologies

Summary: Candidates must have 8+ years in mobile engineering (Android/iOS) with at least 3 years in engineering management, possessing deep experience in at least one native stack and strong cross-platform understanding. A proven track record in leading platform modernization, strong written communication, and the ability to balance long-term architecture with short-term delivery are essential.

Skills: mobile platform strategy, ci/cd, performance optimization, observability, architectural evolution, react native, kotlin multiplatform, compose multiplatform, developer productivity, slos, feature development, system design, incident response, technical leadership, cross-functional leadership, engineering management

Summary: Candidates must have 15+ years of relevant experience in software and site reliability engineering, including a successful track record leading SRE, systems engineering, and full-stack engineering teams. The role requires comfort partnering across disciplines, excellent communication skills, and technical depth sufficient to understand full-stack code.

Skills: site reliability engineering, software engineering, reliability, availability, operational excellence, incident response, risk management, systems engineering, full-stack engineering, technical leadership, strategic leadership, service level standards, program management, hiring, talent retention, experimentation

Summary: Candidates must possess 8+ years of professional software development experience, including expertise in creating extensible React components, TypeScript, and at least one system programming language like Rust or Go. Essential abilities involve owning end-to-end functionality delivery, managing complex cross-team coordination, and evaluating engineering trade-offs.

Skills: rust, typescript, ruby, react, distributed systems, scalable architecture, restful apis, grpc apis, code reviews, specification reviews, system design, performance tuning, user experience, maintainability, cross-team coordination

Summary: Candidates must have 15+ years of relevant experience in software and site reliability engineering, including a successful track record leading SRE, systems engineering, and full-stack engineering teams. A keen technical mind comfortable with code, strong communication skills, and proven ability to establish and grow teams are essential.

Skills: software engineering, site reliability engineering, incident response, risk management, operational lifecycle programs, system resilience, systems engineering, full-stack engineering, technical leadership, strategic leadership, high availability, service level standards, program management, operational excellence, talent retention, ambiguity management

Summary: Candidates must have 6+ years of professional software development experience, proficiency with TypeScript and at least one system programming language like Rust or Ruby, and the ability to own end-to-end functionality from design through monitoring. Familiarity with React components, API design, and AI tooling usage is also required.

Skills: typescript, ruby, rust, react, code reviews, production reliability, system scaling, frontend refactoring, restful apis, grpc apis, ai tooling, cross-team coordination, react-testing-library, cypress, storybook, data modeling

Summary: Candidates must have 10+ years of software engineering experience, including at least 3 years in technical leadership, with deep hands-on expertise in AWS cloud-native architecture and Infrastructure-as-Code using tools like Terraform or CDK. Demonstrated experience integrating AI/LLM tools into development workflows and a track record of driving measurable technical transformation are essential.

Skills: ai-assisted development, cloud-native architecture, infrastructure as code, aws, terraform, cdk, llm tools integration, developer productivity, prompt engineering, architecture design, containerization, serverless, observability, technical leadership, mentoring, hipaa compliance

Summary: Candidates need 1-5 years of professional software development experience with hands-on expertise in building agentic systems, RAG architectures, and LLM evaluation frameworks. Proficiency in full-stack technologies like TypeScript, React, GraphQL, and relational databases is required.

Skills: agentic systems, rag pipelines, vector databases, evaluation frameworks, developer tooling, llm apis, react, typescript, graphql, postgres, technical design, ai augmentation, code reviews, on-call rotation, prompt engineering, fine-tuning

Summary: Candidates must possess over 7 years of expertise in building and delivering high-quality production software, demonstrating expert technical proficiency. A key requirement is deep experience solving complex, systemic issues across multiple engineering teams, coupled with strong business acumen to translate technical decisions into measurable financial outcomes.

Skills: system-level ownership, technical strategy, systemic weakness remediation, architectural oversight, cross-team collaboration, mentoring, high-leverage technologies, production software delivery, empathetic leadership, business acumen

Summary: Candidates should have 3-6+ years of software engineering experience in a high-velocity environment and be top performers who instill high standards in others. Familiarity with the NodeJS, React, AWS, PostgreSQL tech stack is a plus, and authorization to work in the US is required.

Skills: nodejs, react, aws, postgresql, system reliability, performance tuning, ai-powered automation, intelligent estimating, predictive crew optimization, code review, testing, deployment, design, problem solving, collaboration, craftsmanship

Summary: Candidates must have 8+ years of experience building and shipping production backend software, possessing excellent modern Python engineering skills suitable for distributed, asynchronous environments. A strong requirement is demonstrated experience shipping and operating LLM- or generative-AI–backed features or services as part of larger production systems, alongside strong system design capabilities.

Skills: python, backend software engineering, ai systems, llm-backed products, system design, distributed environments, asynchronous environments, api integrations, observability, evaluation strategies, design reviews, code reviews, rest, graphql, grpc, cloud infrastructure

Summary: Candidates must possess 8+ years of hands-on experience with technologies like Spark, PySpark, Teradata, and Databricks, along with proven ability to write complex SQL queries. Solid experience implementing data lake/warehouse solutions on Databricks and proficiency with Agile and DevOps tools are also required.

Skills: spark, pyspark, shell scripting, teradata, databricks, sql, ci/cd, aws, databricks workflows, agile, git, jenkins, artifactory, unix/linux, jira, confluence

Summary: Candidates must possess over five years of professional software development experience, including scaling web applications, with deep expertise in modern full-stack technologies like TypeScript, React, and Node.js. A proven ability to lead complex technical projects and foster a high-performing engineering culture through mentorship and documentation is also required.

Skills: typescript, react, node.js, functional programming, object-oriented programming, ai-assisted development, system design, distributed systems, technical leadership, code reviews, mentoring, hipaa compliance, llm integration, aws/gcp, docker, kubernetes

Summary: Candidates must possess over 6 years of software development experience building enterprise or consumer-facing products, with proficiency in building API-based products using languages like Python or Golang. Familiarity with RDBMS, Docker, AWS technologies, and agile environments is also required.

Skills: golang, python, postgresql, opensearch, docker, aws, lambda, cognito, api development, testing, debugging, system design, agile delivery, rdbms query optimization, scrum

Summary: Minimum qualifications require demonstrated experience in recruiting, managing technical teams, and performance management, along with 12+ years of software engineering experience, or a PhD plus 8 years, including technical management. Candidates must possess a BS or MS in Computer Science, Engineering, or a related field, or equivalent experience, including specific years managing managers and technical teams.

Skills: recruiting, managing technical teams, performance management, technical management, software engineering, technical strategies, innovation, collaboration, distributed systems

Summary: Candidates must have 6+ years of software engineering experience with a strong foundation in computer science concepts, distributed systems, and production environments. Essential requirements include the ability to deliver end-to-end solutions, strong communication skills, and adaptability in dynamic settings.

Skills: technical leadership, architectural decisions, full-stack development, back-end development, system design, event-driven systems, apis, code quality, testing, product discovery, communication, problem-solving, kotlin, java, c#, typescript

Summary: Candidates must have 5+ years of experience building and operating production backend or platform systems, along with a Bachelor's Degree or higher in Computer Science or a related field. The ideal person demonstrates strong technical fundamentals, takes ownership from inception to completion, and has experience with asynchronous systems or data pipelines.

Skills: backend software engineering, platform systems, data ingestion pipelines, apis, webhook delivery, asynchronous systems, event-driven systems, data architecture, scalability, reliability, developer tooling, underwriting, risk evaluation, data processing, technical fundamentals, abstraction design

Summary: Candidates must possess strong proficiency in SQL, hands-on experience with dbt and batch orchestration tools like Dagster/Airflow, and proficiency in Python for data engineering tasks. Deep familiarity with BigQuery or equivalent cloud data warehouses and solid experience with GCP infrastructure are also required.

Skills: sql, dbt, dagster, python, bigquery, gcp, kafka, flink, flinksql, data modeling, orchestration, ci/cd, testing, data governance, observability, terraform

Summary: Candidates must have significant experience designing and building backend systems using Python or similar languages, including expertise in APIs, data models, and distributed services. A strong track record of end-to-end system ownership and the ability to mentor others while caring deeply about correctness and maintainability are essential.

Skills: backend systems, python, apis, data modelling, distributed services, system design, reliability, scalability, architecture, technical direction, mentoring, communication, ownership, marketplace systems, fintech, data-sensitive systems

Summary: Candidates must have significant experience building and owning product systems end-to-end, with depth in either frontend (JavaScript, React/React Native) or backend (Python). A product-minded approach, proven ability to operate in ambiguity, and strong communication skills are essential.

Skills: javascript, react, react native, python, system design, product definition, implementation, launch, iteration, frontend, backend, data concerns, tradeoffs, mentoring, communication

Summary: Candidates must have experience with Go or Rust, along with Linux systems engineering skills. Cryptography engineering experience is considered a plus for this product-focused systems engineering position.

Skills: go, rust, linux systems engineering, cryptography engineering, kubernetes, terraform, ansible, networking, performance, security, rfd writing, implementation, testing, documentation

Summary: Candidates must have experience with Go or Rust, along with Linux systems engineering expertise. Cryptography engineering experience is considered a plus for this product-oriented backend engineering role.

Skills: go, rust, linux systems engineering, cryptography engineering, backend services, apis, audit logging, session recording, identity workflows, distributed systems, performance optimization, indexing, filtering, policy evaluation

Summary: Candidates must have significant experience building and scaling frontend systems using JavaScript and React/React Native, with a strong track record of owning complex UI systems. They should also demonstrate deep care for user experience, performance, maintainability, and the ability to operate effectively in ambiguous environments.

Skills: javascript, react, react native, frontend systems, ui systems, performance improvements, accessibility, testing, component design, state management, design systems, mobile performance, internationalization

Summary: Candidates must have 8+ years of experience developing cloud-based applications using languages like Python, Java, and Javascript, along with strong knowledge of the AWS platform, including designing AWS Lambda functions and defining infrastructure as code. A Bachelor's degree in Computer Science or a related field is required, alongside demonstrated experience in technical leadership and production support.

Skills: python, java, javascript, aws, aws lambda, restful apis, json, infrastructure as code, automated testing, junit, mockito, github, github actions, terraform cloud, datadog, jira

Summary: The ideal candidate is a hands-on technical leader with extensive backend experience designing distributed systems at scale, comfortable with technologies like Java, MySQL, AWS, Kafka, and Kubernetes. They must be deeply user-focused, thrive in ambiguity, possess strong judgment for weighing tradeoffs, and have a proven ability to mentor engineers and proactively shape roadmaps.

Skills: technical direction, architecture design, scalable systems, event-driven systems, real-time decisioning, production code, cross-team initiatives, technical problem solving, stakeholder influence, mentoring engineers, best practices, distributed systems, java, mysql, aws, kafka

Summary: The ideal candidate is a hands-on technical leader with extensive backend experience designing distributed systems at scale, comfortable with technologies like Java, MySQL, AWS, Kafka, and Kubernetes. They must be deeply user-focused, thrive in ambiguity, possess strong judgment for weighing tradeoffs, and regularly mentor engineers while proactively shaping the roadmap.

Skills: technical direction, architecture design, scalable systems, event-driven systems, real-time decisioning, production code, cross-team initiatives, technical problem solving, stakeholder influence, mentoring engineers, backend development, distributed systems, java, mysql, aws, kafka

Summary: Candidates must possess at least 8 years of professional software engineering experience, thrive in a Linux ecosystem, and demonstrate the ability to navigate ambiguity to deliver scalable solutions. Proficiency in at least one major cloud platform (preferably AWS or Azure) and experience building APIs and data pipelines, especially for security data, are required.

Skills: golang, linux, apis, data pipelines, system architecture, cloud marketplaces, aws, azure, gcp, iam, vulnerability scanning, osv, secdb, security advisories, integration development, technical influencing

Summary: Candidates must possess 12+ years of backend engineering experience with a proven track record of technical leadership on mission-critical platforms, including strong system design and operational rigor in distributed systems. Experience migrating legacy systems and mentoring senior engineers is also essential.

Skills: backend engineering, technical leadership, system design, coding, high-availability services, high-correctness services, legacy system migration, distributed systems, reliability, observability, operational rigor, communication, cross-functional influence, mentoring, technical vision, platform architecture

Summary: Candidates should have experience defining, building, and operating scalable architectures, with proven strengths in cross-team collaboration and delivering solutions adopted by other engineering teams. Required technical knowledge includes languages like Ruby, NodeJs, Python, or Golang, and experience with frameworks such as React, Vue.Js, or RoR, alongside an eye for great user experiences.

Skills: ruby, nodejs, python, golang, react, vuejs, ror, ux, ecommerce integrations, shopify apps, gcp, gke, pubsub, bigquery, bigtable, circleci

Summary: Candidates must possess senior or staff-level backend engineering experience with a history of shipping production systems, deep expertise in Go or Kotlin (preference for both), and strong infrastructure/DevOps experience in AWS or GCP. Comfort with Kubernetes, some Node/JavaScript exposure, and a product-minded approach with strong communication skills are also required.

Skills: go, kotlin, aws, gcp, kubernetes, node, javascript, system design, technical leadership, scalability, performance, maintainability, observability, incident response, code reviews, ai-forward solutions

Summary: Candidates should be experienced in defining, building, and operating scalable architectures with proven cross-team collaboration skills, seeing solutions through to adoption by other engineering teams. Required technical knowledge includes languages like Ruby, NodeJs, Python, or Golang, and experience with frameworks such as React, Vue.Js, or RoR, alongside experience with eCommerce integrations like public Shopify apps.

Skills: ruby, nodejs, python, golang, react, vue.js, ror, shopify, bigcommerce, gcp, gke, pubsub, bigquery, bigtable, circleci, terraform

Summary: The ideal candidate is an experienced data platform engineer fluent in Python, comfortable with SQL, and demonstrating expertise in Kubernetes, AWS, Airflow, and Snowflake. Success requires a strong commitment to high-quality code, automated testing, self-management, and clear communication.

Skills: python, kubernetes, aws, airflow, snowflake, sql, automated testing, high-quality code, data pipelining, data analytics, system design, monitoring, jira, scrum, kanban, change management

Summary: Candidates must have 7+ years of relevant industry experience, preferably in Payments/Fintech, and proficiency in at least one major programming language like Java, Kotlin, or Python. Experience with architectural patterns for large-scale applications, high code quality, and cross-functional teamwork is essential.

Skills: backend software engineer, java, kotlin, python, react, api design, high volume data pipelines, efficient algorithms, automated testing, cross-functional collaboration, data driven decisions, risk mitigation, dispute resolution, chargeback defense, real-time risk services

Summary: Candidates must have at least 3 years of people management experience and a strong understanding of agentic loop lifecycles and infrastructure supporting them. A deep background in API design and software engineering fundamentals, especially maintaining rigor in an AI-driven world, is required.

Skills: people management, agentic architectures, api design, llms, sql validation, tool-calling, reasoning loops, technical excellence, ci/cd, orchestration, developer tools, data engineering workflow, strategic collaboration, mcp servers, semantic layer

Summary: Candidates should possess 8–15 years of software development experience with broad technical fluency across the stack, including JavaScript/TypeScript, Node, React, PostgreSQL, AWS, and Linux. A strong systems thinking approach, a track record of improving engineering operations, and comfort with ambiguity are essential.

Skills: javascript, typescript, node, react, postgresql, aws, linux, devops, infrastructure, http, networking, system design, saas, technical leadership, mentorship

Summary: Candidates must have 8+ years of experience in software engineering, with a proven ability to architect and develop solutions for ambiguous problems that have significant impact. They should be impact-driven, full-stack minded, data-driven, possess high agency, and operate with high velocity.

Skills: distributed systems, technical structure, roadmap definition, project management, mentoring, design techniques, coding standards, infrastructure components, notifications service, deep-linking, seo services, high quality code, impact-driven, full-stack minded, data-driven, high agency

Summary: Candidates must have 5-10 years of experience in Frontend and/or Mobile Engineering, demonstrating proficiency with technologies like Typescript, React, React Native, Jest, and state management solutions like Recoil. Expertise in utilizing Design Systems, component libraries, effective communication, and cross-functional collaboration is also required.

Skills: frontend development, mobile development, typescript, react, react native, jest, recoil, redux, zustand, material design, material-ui, rest api integration, code review, debugging, accessibility, testing

Summary: Candidates must have 5+ years of software engineering experience, including designing, building, scaling, and maintaining production services within a service-oriented architecture, and writing high-quality, well-tested code. The ideal candidate is impact-driven, full-stack minded, data-driven, possesses high agency, and operates with high velocity, while being passionate about building an open financial system.

Skills: backend engineering, web scale applications, blockchain technology, crypto-forward products, system design, cloud technology, growth engine development, experimentation, a/b testing, service oriented architecture, high quality code, data-driven, high agency, high velocity, golang, ruby

Summary: Successful candidates must have a proven track record of scaling complex, user-facing platforms with deep expertise in frontend system design and architectural thinking, particularly using React, JavaScript, and TypeScript. Experience integrating with GraphQL APIs and familiarity with search technologies, LLM-driven interfaces, and mentoring engineers are also essential.

Skills: react, typescript, javascript, c#, graphql, frontend system design, llms, embeddings, ranking models, system architecture, accessibility, state management, low latency, observability, design docs, code reviews

Summary: Candidates must possess senior or staff-level backend engineering experience with a proven track record of shipping production systems, deep expertise in Go or Kotlin (preference for both), and strong infrastructure/DevOps experience in AWS or GCP (preference for GCP). Experience running production workloads on Kubernetes and a product-minded approach focusing on outcomes and user impact are also required.

Skills: go, kotlin, aws, gcp, kubernetes, node, javascript, system design, technical leadership, scalability, performance, maintainability, code reviews, incident response, ai-forward solutions, communication

Summary: Candidates should have 6+ years of relevant experience and a background in designing production services with Python and related technologies. Experience with machine learning models in production environments is also required.

Skills: machine learning, python, postgres, fastapi, sqlalchemy, pydantic, api development, mentoring, technical leadership, deployment, monitoring, kubernetes, data infrastructure, video solutions, low latency systems, fault tolerance

Summary: Candidates should have a Computer Science degree from a top university and strong full-stack skills, particularly in TypeScript, React, and SQL. Experience with mobile development and a background in low-latency systems are also preferred.

Skills: typescript, react, sql, mobile development, ios, android, react native, low-latency systems, performance sensitive applications, entrepreneurial, resourceful, sports

Summary: Candidates should have 6–10+ years of backend/infra engineering experience with real-time A/V or telephony systems. Hands-on experience with WebRTC, SIP, Twilio, or similar stacks is essential.

Skills: backend engineering, real-time a/v, telephony systems, webrtc, sip, twilio, distributed systems, low-latency infrastructure, debugging, optimizing qos

Summary: Candidates should have 6–10+ years of backend experience with strong SaaS integrations work. A deep knowledge of APIs, webhooks, and a strong systems background focused on reliability and monitoring is essential.

Skills: backend experience, saas integrations, apis, webhooks, oauth, error handling, rate limiting, reliability, observability, monitoring, data pipelines, integration frameworks, collaboration, mentorship, technical leadership

Summary: Candidates should have 3+ years of experience in building reliable, secure software and be comfortable working full-stack. A strong emphasis on clean code, testing, and performance is essential.

Skills: python, django, react, aws, openai, software development, full-stack development, testing, observability, performance, collaboration, problem solving, clean code, data management, legal tech, ai

Summary: Expertise in TypeScript build systems and proficiency with ESLint, Prettier, and testing frameworks are required. Experience managing monorepos or large-scale codebases is also essential.

Skills: typescript, vite, webpack, eslint, prettier, testing frameworks, code generation tools, monorepos, developer workflows, build pipelines, code quality, graphql, protocol buffers, infrastructure integrations, open-source libraries

Summary: Candidates should have at least 5 years of experience in full-stack or backend development with expertise in event-driven system design. Familiarity with cloud services and third-party API integration is also required.

Skills: full-stack development, backend development, nodejs, rust, python, go, kafka, kinesis, pub/sub, react, event-driven system design, distributed systems, data processing pipelines, api integration, cloud providers, restful api design

Summary: Candidates should have deep frontend expertise with React, TypeScript, and Tailwind, along with a strong understanding of design systems and UI architectures. Experience in mentoring and leading code reviews is also essential.

Skills: react, typescript, tailwind, html, css, ui architecture, design systems, state management, component frameworks, mentorship, code reviews, technical standards, collaboration, communication, cybersecurity, ai/ml

Summary: Candidates should have 6+ years of engineering experience with strong backend skills and direct experience in monetization-related areas. They must also possess excellent problem-solving skills and experience implementing customer-facing billing interfaces.

Skills: backend development, monetization systems, payment platforms, subscription platforms, usage-based billing, saas taxation, tokenization, problem-solving, billing interfaces, python, typescript, react, postgres, graphql, nodejs

Summary: Candidates should have 5-8+ years of experience in building user-facing products with measurable impact, particularly in activation and retention metrics. Proficiency in full-stack TypeScript, strong analytical skills, and experience with experimentation platforms are essential.

Skills: growth engineering, a/b testing, full-stack development, typescript, react, apis, backend development, sql, product analytics, experimentation platforms, cohort analysis, segmentation analysis, prototyping, user validation, collaboration, retention strategies

Summary: The role requires 2-4+ years of experience in building user-facing products with measurable growth impact and strong full-stack TypeScript experience. You should have a strong product sense, analytical rigor, and experience with experimentation platforms.

Skills: typescript, react, apis, backend, sql, experimentation, event schemas, cohort analysis, segmentation analysis, data events, campaign optimization, cross-functional collaboration, statistical rigor, user-facing products, growth impact, prototyping

Summary: Candidates should have over 4 years of experience in security engineering or related fields, with strong programming skills in Python and/or TypeScript. Familiarity with machine learning and LLM-based classifiers for security detection is also required.

Skills: security engineering, anti-abuse, fraud detection, python, typescript, sql, data analysis, machine learning, llm classifiers, prompt injection, phishing, account takeover, credential stuffing, communication skills, ci/cd security, cloud infrastructure

Summary: Candidates should have 8+ years of software engineering experience with strong backend expertise and experience in building financial systems. They should also possess excellent debugging skills and the ability to work autonomously in fast-moving environments.

Skills: software engineering, backend expertise, system design, debugging, problem-solving, billing systems, payment processing, saas taxation, compliance systems, monetization, apis, localization, financial data, observability, performance optimization, collaboration

Summary: Candidates should have 5+ years of experience in systems software, with at least 3 years in networking or transport protocols. Strong proficiency in Rust or C++ and an understanding of key mesh networking topics are essential.

Skills: networking, transport protocols, routing, rust, c++, debugging, apis, concurrency, observability, flow control, performance optimization, mesh networking, mobile platforms, linux networking, async i/o, low-level systems programming

Summary: Candidates should have 5+ years of experience in building backend services and a collaborative mindset. Preferred qualifications include full-stack experience and familiarity with AI-powered products.

Skills: backend services, systems engineering, developer experience, product engineering, collaboration, ai powered tooling, operational transforms, crdts, event sourcing, problem solving, communication, automation, continuous learning, self-directed, team-oriented, simplicity

Summary: The role requires strong full stack engineering skills, experience in B2B or enterprise software, and a solid understanding of user needs. Familiarity with modern web technologies and excellent communication skills are also essential.

Skills: full stack engineering, b2b software development, backend services, user-facing interfaces, authentication, permissions, security, compliance, team collaboration, react, node.js, typescript, communication skills, curiosity, mentorship, technical solutions

Summary: A bachelor's degree in Computer Science or equivalent experience is required, along with comfort in building with TypeScript, React, and Go. Preferred qualifications include experience with platform as a service products and AI systems.

Skills: typescript, react, go, css, postgres, terraform, problem-solving, communication, automation, ai, full stack development, cloud infrastructure, user facing products, self-directed, continuous learning, leadership

Summary: Candidates should have a Bachelor's degree in Computer Science or equivalent experience, with at least 10 years in software and 3 years in a leadership role. Experience with user-facing platforms and AI systems is preferred.

Skills: typescript, react, css, postgres, go, terraform, problem-solving, technical leadership, mentoring, cloud infrastructure, ai systems, full stack development, communication, automation, continuous learning

Summary: Candidates should have at least 3 years of experience as a software engineer and familiarity with the specified tech stack. A product-oriented mindset and the ability to collaborate effectively are also essential.

Skills: react, ruby on rails, kubernetes, google cloud, gcp, mysql, mongodb, product thinking, innovative mindset, independent thinking, collaboration

Summary: Candidates should have a bachelor's degree in a technical field and at least 3 years of experience in backend or infrastructure-focused services. Strong programming skills and experience with cloud platforms and CI/CD systems are also required.

Skills: python, go, javascript, cloud infrastructure, data pipelines, etl processes, ci/cd, infrastructure as code, experimentation platforms, a/b testing, feature flag orchestration, containerization, distributed systems, observability tools

Summary: Candidates should have 4+ years of experience in relevant engineering roles and strong programming skills in Go, Typescript, or Python. Familiarity with Kubernetes, cloud networking, and security fundamentals is also required.

Skills: infrastructure engineering, platform engineering, go, typescript, python, kubernetes, cloud networking, vpcs, terraform, authentication, authorization, encryption, debugging, communication, google cloud platform, saas infrastructure, compliance frameworks

Summary: Candidates must have 5 or more years of professional software development experience, demonstrating expertise in iOS engineering, including proficiency in SwiftUI and UIKit with occasional Objective-C work. A strong foundation in mobile architecture, scalability, and experience building sophisticated iOS components is required, alongside the ability to use data for decision-making.

Skills: swiftui, uikit, objective-c, mobile architecture, scalability, custom animations, gesture systems, interaction patterns, data-driven decisions, product intuition, design sense, code reviews, pair programming, architecture reviews

Summary: Candidates must have at least two years of experience building software products and proven experience leading significant projects from inception through post-launch. A strong technical background in full-stack development and system design, along with experience iterating on products based on user feedback, is required.

Skills: full-stack software development, system design, typescript, graphql, aws, product iteration, real-time monitoring, load management algorithms

Summary: Candidates must possess over 7 years of software engineering experience, ideally with exposure to healthcare or complex data systems, demonstrating deep expertise in building APIs and distributed systems using modern JavaScript frameworks like Node.js. Required technical skills include experience with front-end integration (React/Next.js) and cloud infrastructure (AWS/GCP), alongside strong system architecture understanding.

Skills: restful apis, graphql apis, backend services, clinical data systems, ai inference pipelines, node.js, react, next.js, aws, gcp, data modeling, performance optimization, system architecture, software engineering, distributed systems

Summary: Candidates must possess a Bachelor’s degree in computer science or a similar field, with over 10 years of software/data engineering experience, including 5+ years in a thought leadership capacity. Essential technical expertise includes Big Data concepts, Apache Spark, Python, Scala, Databricks, cloud environments (Azure, GCP, or AWS), and healthcare data standards like Epic, FHIR, and HL7.

Skills: software engineering, technical knowledge, problem-solving, mentoring, roadmap definition, technology direction, source code optimization, maintainability, testability, performance, software requirements, automated build steps, continuous integration, staging environments, strategic thinking, agile development

Summary: Candidates must possess 6+ years of full stack software engineering experience, ideally in a high-growth startup, with substantial background in backend asynchronous systems and experience with logistics or operational domains. Strong candidates will have the ability to operate with minimal oversight, understand business functions to address bottlenecks through engineering, and demonstrate clear communication skills.

Skills: typescript, nodejs, nestjs, react, redux, postgresql, gcp, graphql, full stack software engineering, asynchronous systems, logistics, operational domains, production systems, agile, performance optimization, communication