Software Engineer Jobs with Salary ≥ 150k

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: The core requirement is demonstrated mastery in handling data across specific database technologies including SQL Server, MongoDB, and Redis. Candidates must also be comfortable operating within major cloud platforms such as Azure and AWS.

Skills: sql server, mongodb, redis, azure, aws

Summary: YC-backed Bree is in rapid growth, profitable with eight-figures in annual revenue and double-digit monthly expansion. This role offers end-to-end ownership in a small, high-ownership engineering team, spanning Lambda-based backend and React Native apps. Unique selling points include a pragmatic, impact-focused culture, strong product-market fit, and clear path to scale in FinTech in Canada. Perks and benefits include generous stipends (learning $1,500; wellness $1,000; lunch $250; commuting $150), comprehensive insurance, annual retreats, parental leave, and unlimited PTO. The company is YC-funded (seed around) with a strong revenue trajectory; visa sponsorship is not available (US citizen/visa only).

Skills: react, node.js

Summary: Candidates must possess strong communication skills suitable for technical and non-technical stakeholders, including C-Levels and engineers, alongside extensive experience in cloud technologies and data analytics development. Required technical experience includes 6+ years with Microsoft Fabric, various Azure Data Services, Databricks (Unity Catalog, Delta Lake), and visualization tools like Power BI, plus development skills using Python and CI/CD methodologies.

Skills: cloud, data analytics, microsoft fabric, onelake, azure data warehouse, sql db, sql vms, purview, azure databricks, azure data factory, azure synapse, databricks, unity catalog, delta lake, power bi, python

Summary: Candidates must have proven experience leading end-to-end modernization efforts from legacy systems to modern architectures, possessing strong architectural skills for scalable design. Advanced proficiency in both mainframe languages (like COBOL) and modern languages (like Java or Python) is required, alongside experience with integration, data migration, and DevOps practices.

Skills: mainframe modernization, legacy systems transformation, cobol, jcl, qsam, vsam, java, python, node.js, microservices, cloud-native, architecture design, data migration, devops, ci/cd, infrastructure-as-code

Summary: Candidates must possess over 5 years of software development experience with strong foundations in algorithms, data structures, and design principles, alongside proficiency in data and AI languages like Python, Java, C++, Go, or Scala, plus SQL and database knowledge. Solid understanding of data engineering concepts, cloud-native big-data environments, and strong communication skills are also required.

Skills: algorithms, data structures, design principles, python, java, c++, go, scala, sql, nosql databases, etl pipelines, data modeling, schema design, cloud-native big-data, mlops, agentic systems

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 have 5 to 7 years of experience in ML engineering with strong proficiency in Python and associated libraries, alongside hands-on experience with PyTorch or TensorFlow. Solid understanding and practical experience with MLOps tools such as Airflow, Kedro, and MLflow are required for deploying models in production environments.

Skills: python, pytorch, tensorflow, pandas, dask, numpy, scikit-learn, airflow, kedro, mlflow, spark, snowflake, databricks, weights & biases, docker, kubernetes

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 two years of full-stack engineering experience building production-grade software, ideally in large-scale distributed systems for consumer-facing applications. Strong foundational knowledge in data structures, algorithms, and systems design is prioritized over specific framework experience, alongside a proactive, problem-solving, and collaborative mindset.

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, asynchronous processing

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 need at least two years of full-stack engineering experience building production-grade software, with strong foundations in data structures, algorithms, and systems design being highly valued. The ideal applicant must demonstrate ownership, problem-solving skills for ambiguous problems, and comfort working asynchronously with a global team.

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

Summary: Candidates must have at least 7 years of full-stack engineering experience building production-grade software, ideally in large-scale distributed systems for consumer-facing software. Strong foundations in data structures, algorithms, and systems design are prioritized over specific tech stack familiarity, alongside a strong sense of ownership and comfort with asynchronous global collaboration.

Skills: typescript, nest.js, next.js, react, react native, expo, graphql, postgres, dynamodb, clickhouse, redis, aws, microservices, ecs/eks, 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 need at least two 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 framework experience.

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

Summary: Candidates must have 6+ years of professional web application development experience, including strong expertise with Vue.js (Vue 3), modern JavaScript (ES6+), and building responsive, mobile-first applications. Required knowledge includes deep expertise in frontend performance optimization, scalable state management, and deploying applications in AWS environments.

Skills: javascript, vue.js (vue 3), vuex, vite, aws (s3), cloudfront, performance optimization, caching strategies, cdn best practices, responsive design, mobile-first applications, mapbox, progressive web app (pwa), service workers, frontend security, testing methodologies

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 a Bachelor's degree in a technical field or equivalent experience, along with over 5 years of relevant software engineering experience in Cloud environments. Required technical skills include proficiency in languages like Go, Python, or Java, experience with structured/unstructured formats (JSON/YAML), and familiarity with container orchestration and DevSecOps methodologies.

Skills: go, python, java, node.js, bash, json, yaml, windows, linux, kubernetes, openshift, devsecops, ci/cd, microservices, terraform, ansible

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: Candidates must have 7+ years of software engineering experience with a proven track record in building and maintaining reliable, scalable production systems. Strong proficiency in Python, JavaScript, and SQL is required, along with exposure to React and experience with orchestration, containerization, and Kubernetes.

Skills: python, javascript, sql, react, kubernetes, orchestration, containerization, data endpoints, system design, scalability, reliability, performance optimization

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 have at least one year of experience in software engineering or development and be available to start immediately. The role seeks self-motivated individuals passionate about solving hard problems and committed to personal growth.

Skills: golang, mongodb, aws, docker, postgres, ruby, rails, react native, backend, frontend, web-scale applications, blockchain technology, cloud infrastructure, real-time applications

Summary: Candidates must possess a Bachelor's degree in a relevant field and extensive experience, including 10-12+ years in large-scale enterprise development and over 5 years leading software engineering teams, with deep knowledge of Java, SQL, and web technologies. Strong leadership, communication skills, and the ability to thrive in a fast-paced, innovative Agile environment are essential.

Skills: agile development, devops, continuous integration, java, sql, xml, html, css, javascript, jquery, object oriented programming, oracle, xsl, technical guidance, performance management, design concepts

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: Candidates must possess a minimum of 6 years of industry experience, including at least 3 years specifically with Java/Spring Boot and 2 years building highly scalable, fault-tolerant systems using Microservices with Java, Spring, or Node.js. Effective communication of complex technical subjects and familiarity with Agile/SCRUM methodologies are also required.

Skills: java, spring boot, microservices, node.js, aws, postgresql, mysql, oracle, agile, scrum, testing, deployment, troubleshooting, design, mentoring, api

Summary: Candidates must possess at least 6 years of industry experience, including 3+ years with Java/Spring Boot and 2+ years building highly scalable, fault-tolerant systems using Microservices architecture. Strong debugging skills for production issues and effective communication across technical and non-technical audiences are also required.

Skills: java, spring boot, microservices, aws, postgresql, mysql, oracle, agile, scrum, testing, deployment, debugging, system design, troubleshooting, mentoring, api design

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 be well-rounded senior software engineers with at least 6+ years of experience building complex web applications and backend services, including a minimum of 2 years at a senior level. Required technical expertise includes TypeScript, Python, reactive UI frameworks, REST APIs, database architecture (SQL/NoSQL), Linux, and Docker, along with the ability to obtain Secret security clearance in Canada.

Skills: typescript, python, vue, react, rest apis, sql, nosql, linux, docker, architecture design, generative ai, llms, cloud infrastructure, microservices, ci/cd, scrum

Summary: Candidates must be US Citizens and maintain a Secret Clearance, holding a minimum of a Bachelor's degree in a related field and four years of software engineering experience, including at least two years building AI/ML applications. Strong proficiency in languages like Python, TypeScript, or Go, along with experience in cloud platforms and secure development practices, is mandatory.

Skills: ai software engineering, automation solutions, solution design, api development, platform integration, security-first mindset, ai/ml tooling, cloud platforms, microservices, data pipelines, model fine-tuning, prompt engineering, secure coding, infrastructure-as-code, ci/cd, regulatory compliance

Summary: Candidates must possess 5+ years of software development experience, including at least 2 years working on AI-powered or AI-integrated solutions, and hold a Bachelor's degree in a related field. Required expertise involves hands-on deployment of AI applications (e.g., using Hugging Face or OpenAI), proficiency in Microsoft environments and cloud services (AWS, Azure), and proven ability to mentor engineers in AI-first methodologies.

Skills: artificial intelligence, software engineering, machine learning, technical direction, mentoring, ai-first strategies, scalable applications, natural language processing, computer vision, generative models, architecting systems, api development, microservices, agile environment, cloud services, llms

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: Candidates must have 5+ years of experience building and shipping production-ready full stack applications using modern frontend frameworks and backend services in languages like Java, Kotlin, or Scala. Proven technical leadership and understanding of distributed event-driven systems are also required.

Skills: full stack applications, react, javascript, typescript, java, kotlin, scala, object-oriented languages, distributed event-driven systems, technical leadership, database schema design, dynamodb, code review, scalability, resilience, availability

Summary: Join a founding engineering role at YouShift, an early-stage YC-funded startup building an AI-powered workforce OS for healthcare. You'll own end-to-end features, shape architecture, and influence product from day one in a small, high-ownership team. Expect early equity, fast pace, direct impact on hospital staffing, and the chance to help define the platform as the company scales.

Skills: react, node.js, typescript, postgresql, aws, react-native

Summary: YC-backed healthcare AI startup offering a high-ownership product engineering role to build AI agent workflows in production with real-world impact. Strong growth potential; visa: US citizen/visa only.

Skills: python, typescript

Summary: Candidates must possess 5+ years of software development experience, including at least 2 years working on AI-powered or AI-integrated solutions, and hold a Bachelor's degree in a related field. Essential technical expertise involves hands-on deployment of AI applications (e.g., using Hugging Face or OpenAI), proficiency in Microsoft environments and cloud services (AWS, Azure), and a strong understanding of AI model cost optimization.

Skills: ai integration, machine learning models, automation frameworks, technical direction, mentoring engineers, ai-first strategies, scalable web products, mobile applications, server-based systems, architectural decisions, natural language processing, computer vision, generative models, llm-augmented ides, api design, microservices

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 possess a strong foundation in Python RESTful API development and modern frontend development using React, TypeScript, and Vite, coupled with solid cloud environment experience for deploying full-stack AI applications. A Bachelor's degree and 6-8 years of related experience, demonstrating end-to-end ownership of AI-powered features from concept to production, is required.

Skills: full-stack development, ai integration, python, react, cloud technologies, api development, frontend development, typescript, vite, system design, security best practices, technical leadership, prompt engineering, llm orchestration, devops practices, analytical problem-solving

Summary: Candidates must possess a Bachelor’s Degree in CIS/CSE/MIS or equivalent experience, along with over 7 years of enterprise-level software development using the Microsoft technology stack. Strong leadership, decision-making, team management skills, and project experience with Scrum/Agile are essential personal attributes.

Skills: .net, c#, wcf, object-oriented design, solid, tdd, bdd, ddd, atdd, sql server, t-sql, agile, scrum, lean, visual studio 2010, soa

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 a Bachelor's degree in a relevant engineering field and at least 3 years of experience developing software in C++, Python, or Rust within Linux environments. Required experience includes hands-on work with ROS2 in autonomy systems and familiarity with maritime communication protocols like NMEA and CAN.

Skills: c++, python, rust, linux, ros2, nmea, can, mqtt, umaa, colregs, systems integration, troubleshooting, field deployments, real-time systems, maritime standards, autonomy software

Summary: Candidates must possess over 5 years of professional frontend systems experience, preferably in a SaaS environment, with strong proficiency in building modern web applications using React and TypeScript. A key aspect involves leading the evaluation and integration of new AI developer tools to boost team velocity.

Skills: typescript, react, python, django, aws, kubernetes, terraform, circleci, agile, scrum, kanban, ci/cd, frontend development, ui component design, system architecture

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 8+ years of experience building complex software on the Microsoft stack (.NET/C#) with deep, hands-on SQL Server expertise at massive scale, including legacy modernization experience. Strong Azure proficiency across compute, integration, and data services is required, alongside experience containerizing applications with Docker and Kubernetes.

Skills: .net, c#, sql server, azure, microservices, docker, kubernetes, aks, data factory, event hubs, api management, legacy modernization, query optimization, refactoring, serverless, ai tools

Summary: Candidates must be experienced individual contributors capable of solving complex problems and leading multiple initiatives independently, requiring advanced analytical thinking and strong communication skills. A bachelor’s degree in a STEM field or equivalent experience is required, along with typically seven or more years of hands-on coding experience.

Skills: .net/c#, java, python, sql, angular, azure cloud services, ci/cd pipelines, azure devops, aws cloud services, restful apis, web services, c++, ai/ml, unit testing, git, agile methodologies

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: Required qualifications include 2-3+ years of experience in large-scale, distributed applications using JVM technologies, experience building RESTful services, and understanding of CI/CD pipelines and cloud infrastructures like AWS or GCP. Candidates must also demonstrate proficiency with AI coding assistants and possess strong Java fundamentals.

Skills: jvm based technologies, restful services, api design, event-driven architectures, ci/cd pipelines, aws, gcp, openstack, azure, on-call rotations, incident response, prometheus, datadog, grafana, java, ai coding assistants

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 at least 7 years of professional software development experience, including 3+ years in Kotlin for backend services and 4+ years in Java. Required technical knowledge includes building APIs, familiarity with SQL/NoSQL databases like PostgreSQL and DynamoDB, AWS environment experience, and knowledge of CI/CD processes.

Skills: kotlin, java, api development, sql, nosql, postgresql, dynamodb, aws, ci/cd, spring boot, kubernetes, iac

Summary: Candidates must possess a Bachelor's degree in a related field or equivalent experience, including over 10 years in large-scale software product engineering and at least 2 years in software management experience. Proven ability to mentor, define strategy for scalability, communicate effectively across all levels, and manage workload to meet deadlines is essential.

Skills: team leadership, people development, mentoring, coaching, ci/cd, unit testing, functional testing, process improvement, product management collaboration, onboarding, training material development, engineering best practices, sdlc improvement, secure coding practices, succession planning, conflict resolution

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: Required qualifications include 2-3+ years of experience in large-scale, distributed applications on JVM technologies, experience building RESTful services, understanding of CI/CD, and hands-on cloud infrastructure experience (AWS, GCP, etc.). Candidates must also demonstrate proficiency with AI coding assistants and possess strong Java fundamentals and computer science knowledge.

Skills: jvm based technologies, restful services, api design, event-driven architectures, ci/cd pipelines, aws, gcp, openstack, azure, on-call rotations, incident response, prometheus, datadog, grafana, java, distributed systems

Summary: Candidates must possess at least 5 years of professional experience, demonstrating mastery of TypeScript, React, and Next.js, along with experience maintaining component libraries and using AI coding tools like Cursor & Claude Code. A Bachelor's degree in Computer Science or equivalent practical experience is expected, though practical experience is valued over formal education.

Skills: typescript, react, next.js, redux toolkit, component library, react testing library, git, github, ai coding tools, internationalization, pubsub, eventing pattern

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 have a minimum of 3 years of professional experience demonstrating strong ability in building end-to-end web applications using JavaScript or TypeScript, along with experience leading engineering projects and providing technical leadership. Familiarity with AI coding tools and production service operation is also required.

Skills: full stack development, javascript, typescript, ai coding tools, code review, end-to-end feature implementation, rest apis, database operations, git, github, kubernetes, pubsub, eventing pattern, technical leadership

Summary: Geographic pay tiers based on home state; growth-focused backend role tackling scalable e-commerce infrastructure with cross-functional collaboration and opportunities to ship impactful features at scale. Visa sponsorship is limited to US citizens/visa holders.

Skills: go, java, python, ruby on rails

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: A Bachelor's degree is required, preferably in Computer Science or a related field, along with a minimum of 5 years of high-volume software engineering experience. Candidates must have at least 2 years of experience with Python, cloud migration, and Agile methodology, and must be able to obtain a Public Trust Clearance.

Skills: python, sas, postgresql, jenkins, aws glue, aws athena, java, git, github, confluence, apache parquet, apache spark, databricks, devops, agile

Summary: Candidates must have 8+ years building complex software on the Microsoft stack (.NET/C#) with deep, hands-on SQL Server experience at multi-terabyte scale, including legacy modernization expertise. Strong Azure experience across compute, integration, and data services, along with experience containerizing applications with Docker and Kubernetes (AKS), is required.

Skills: .net, c#, sql server, azure, microservices, docker, kubernetes, aks, data factory, event hubs, api management, legacy modernization, query optimization, containerization, serverless, ai tools

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 must have 8+ years of experience building complex software on the Microsoft stack (.NET/C#) with deep, hands-on SQL Server expertise at a multi-terabyte scale, including legacy modernization experience. Strong Azure knowledge across compute, integration, and data services, along with experience containerizing applications using Docker and Kubernetes, is essential.

Skills: .net, c#, sql server, azure, microservices, containerization, docker, kubernetes, aks, data factory, event hubs, api design, legacy modernization, query optimization, ai tools, mentoring

Summary: Candidates must have 3+ years of experience building production applications using TypeScript, React, and Node.js, along with proficiency in relational databases like PostgreSQL for schema design and query optimization. Experience designing and consuming APIs and familiarity with microservices or micro-frontend architectures are also required.

Skills: typescript, react, node.js, database optimization, relational data models, api design, rest, graphql, microservices, micro-frontend architectures, schema design, query optimization, performance tuning, ci/cd, devops

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 have a BS/MS in Computer Science or equivalent experience, along with 5+ years of experience shipping code for consumer-facing web products. Proficiency in AI concepts like LLMs, fine-tuning, vector databases, and prompt engineering, alongside development experience with Node.js, React, and TypeScript, is essential.

Skills: architecture design, large language models, diffusion models, technical quality, ai/ml advancements, node.js, javascript, typescript, mongodb, graphql, apollo, amazon web services, ec2, s3, lambdas, kafka

Summary: Candidates should have a minimum of 5 years in software development, preferably in FinTech or data solutions, and be self-directed with a history of training others. Comfort with ambiguous requirements and the ability to make decisions while communicating tradeoffs clearly are essential.

Skills: php, laravel, html, css, javascript, aws, ec2, s3, ubuntu, nginx, terraform, mysql, agile, jira software, confluence, slack

Summary: Candidates should have a minimum of 5 years in software development, preferably in FinTech or data solutions, and must be self-directed with a history of training other engineers. Comfort with ambiguous requirements and the ability to make decisions while communicating tradeoffs clearly are essential.

Skills: php, laravel, html, css, javascript, aws, ec2, s3, ubuntu, nginx, terraform, mysql, agile, code review, api development

Summary: Candidates should have a minimum of 5 years in software development, preferably in FinTech or data solutions, and must be self-directed with a history of training other engineers. Comfort with ambiguous requirements and the ability to make decisions while communicating tradeoffs clearly are essential.

Skills: php, laravel, html, css, javascript, aws, ec2, s3, ubuntu, nginx, terraform, mysql, agile, jira software, confluence, slack

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 a strong track record shipping production backend systems, professional experience with scalable backend services (Java preferred), and a strong data background working with large datasets and pipelines.

Skills: backend services, data intensive, production systems, system design, java, data pipelines, streaming solutions, apis, observability, performance optimization, testing, debugging, rag architectures, vector search, python

Summary: Candidates must have a strong track record shipping production backend systems as a senior engineer, preferably with professional experience using Java and a strong data background working with large datasets. Experience building or integrating AI/ML-adjacent systems in production is also required.

Skills: backend services, data intensive, production systems, system design, java, data pipelines, streaming solutions, apis, ai/ml-adjacent systems, retrieval pipelines, embeddings, ranking systems, observability, performance optimization, testing, debugging

Summary: Candidates must have 4+ years of hands-on experience as a Salesforce Developer with deep knowledge of core platform concepts like Apex, LWC, and Flows, alongside demonstrated experience implementing complex solutions in Sales Cloud, Service Cloud, or Experience Cloud. Strong software engineering fundamentals, experience with modern engineering practices like Git and CI/CD, and excellent problem-solving skills are essential.

Skills: salesforce, apex, lightning web components, lwc, flows, crm solutions, billing solutions, rest apis, event-driven integrations, data models, code reviews, ci/cd, git, github, testable architectures, release management

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 must have at least two years of experience in software engineering, including designing, building, scaling, and maintaining production services within a service-oriented architecture. A passion for building an open financial system that brings the world together is also required.

Skills: backend systems, design, implementation, reporting, monitoring, apis, scaling, service oriented architecture, high quality code, testing, golang, ruby, docker, sinatra, rails, postgres

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 possess a Bachelor's degree in a related field and a minimum of 5 years of professional software development experience, demonstrating strong proficiency in Python and experience with AWS services like EC2, ECS, and AWS Batch. Required knowledge includes software development best practices, containerization technologies, Infrastructure as Code (IaC), and familiarity with CI/CD tools.

Skills: python, cloud engineering, application development, aws, scalability, ci/cd, unit testing, integration testing, docker, kubernetes, restful api, microservices, iac, sql, nosql, nextflow

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 possess 8+ years of software development experience, preferably with secure, scalable web applications using technologies like NodeJS, TypeScript, and React. Extensive experience with AWS ecosystem services, microservice architecture, and strong relational database skills are required.

Skills: nodejs, typescript, react, front-end development, test-driven development, domain-driven development, service-oriented architecture, microservice architecture, aws, ec2, ecs, lambda, sqs, sns, s3, graphql

Summary: Candidates must possess 5 or more years of professional software engineering experience, ideally in full-stack SaaS or backend development, with a proven ability to build and deploy production-ready AI/ML services. Essential technical requirements include strong Python skills, hands-on experience with LLM frameworks, and familiarity with AWS cloud environments and modern DevOps practices.

Skills: ai, software engineering, design, build, collaboration, data science, python, large language models, llm frameworks, data manipulation, evaluation workflows, scalable data infrastructure, saas systems integration, aws cloud, devops practices, ai deployment

Summary: Candidates must possess a Bachelor's or Master's degree in a technical or business discipline, or equivalent experience, along with a minimum of 3 years of professional tech experience. Strong familiarity with TypeScript, NodeJS, Databases, Spring Boot, Java, and AWS is required, alongside excellent collaboration and adaptability skills.

Skills: typescript, nodejs, sql, nosql, spring boot, java, aws, cloudformation, lambda, step functions, iam, vpc, rds, ec2, github actions, kubernetes

Summary: Candidates must have over 7 years of hands-on development experience with Java and Spring Boot, coupled with 3+ years of experience building and managing high-performance engineering teams. Strong expertise in event-driven architecture, GraphQL API design, AWS services, and microservice architecture is required.

Skills: ai, java, spring boot, graphql apis, event-driven architectures, microservices, aws, kubernetes, llm, mcp, agents, sql, nosql, docker, kafka, terraform

Summary: Candidates must have 5+ years of professional software engineering experience, with significant time spent on production AI/ML systems, including deep hands-on experience with LLM-based systems, RAG pipelines, and agent orchestration. A strong command of AI evaluation, proven ability to build agentic AI systems in production, and production-grade Python engineering skills are required.

Skills: llm-based systems, prompt engineering, rag pipelines, agent orchestration, evaluation metrics, model fine-tuning, production ai/ml systems, langgraph, langsmith, vector databases, retrieval system design, aws ecosystem, cloud-native architecture, python, typescript, data analysis

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: Candidates must have over 5 years of professional software engineering experience, with significant time dedicated to production AI/ML systems, including deep hands-on experience with LLM systems, RAG pipelines, and agent orchestration.

Skills: llm-based systems, rag pipelines, agent orchestration, evaluation metrics, python engineering, langgraph, langsmith, vector databases, retrieval system design, aws ecosystem, cloud-native architecture, typescript, data analysis, statistics, agent architecture, production ai systems

Summary: Candidates need over 4 years of experience building and shipping full-stack web applications in production environments, ideally proficient with TypeScript, Node.js, GraphQL, and React.

Skills: typescript, node.js, graphql, react, data modeling, api design, scalability, reliability, third-party api integration, full-stack web applications, customer implementation, platform architecture

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 3 to 5+ years of experience and must be able to read, write, and speak English fluently. The position is classified as an Individual Contributor at Career Level IC3.

Skills: software development, troubleshooting, debugging, database management, application development, tool development, network management, cloud infrastructure, ai

Summary: Candidates are expected to have 3 to 5+ years of experience and must be able to read, write, and speak English fluently. The position is classified as an Individual Contributor at Career Level IC3.

Skills: software development, troubleshooting, debugging, database management, application development, tool development, network management, cloud infrastructure, ai

Summary: Candidates must have a minimum of 5 years of test automation development experience, preferably with Playwright and TypeScript, alongside proficiency in shell scripting and at least one general-purpose programming language. Essential requirements include experience writing automated tests for APIs or UIs and comfort working in Linux-based operating systems.

Skills: playwright, typescript, linux, shell scripting, go, python, kubernetes, containers, cloud technologies, api testing, ui testing, code reviews, ci/cd, agile, sdlc, stlc

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 role requires 3 to 5+ years of experience and is classified as an Individual Contributor at Career Level IC3. Applicants must be able to read, write, and speak English fluently.

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

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 expertise in data platform engineering to build a robust system within the Oracle Health division's Clinical Digital Assistant team. Candidates typically need 3 to 5+ years of experience and must be able to read, write, and speak English.

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

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 have a minimum of 5 years of hands-on software development experience and over 1 year in a technical leadership role, with proven success in delivering custom solutions.

Skills: software development, technical leadership, team management, web applications, architectural decisions, application lifecycle, requirements gathering, mentoring, ui frameworks, communication, java, data analytics, business intelligence, cloud infrastructure, agile development

Summary: Candidates should possess significant experience, ideally with a degree in Computer Science or related field, and proficiency in technologies like .NET Core, C#, JavaScript, and understanding of SOLID principles. Experience developing scalable APIs, understanding web application architecture, and familiarity with source control and Agile processes are also required.

Skills: .net core, asp.net, mvc, web api, c#, javascript, solid design principles, unit testing, source code control, api's, web application architecture, react js, sql, agile, design patterns, azure

Summary: Candidates must have 3–5 years of experience focused on frontend development, demonstrating proficiency in JavaScript/TypeScript and modern frameworks like React or Vue. Essential qualifications include experience with module bundlers, CI/CD tools, performance optimization techniques, and a strong passion for improving developer experience.

Skills: javascript, typescript, react, vue, webpack, vite, esbuild, ci/cd, github actions, circleci, frontend performance optimization, accessibility standards, design system, build pipelines, developer tooling, observability tools

Summary: Candidates must possess 5-7+ years of experience in Python or equivalent expertise in another language, along with strong proficiency in a Python web framework like Django and solid SQL database skills. Essential requirements also include experience with JavaScript frameworks (Vue or React), working with APIs and data pipelines, and strong communication skills for remote collaboration.

Skills: python, django, javascript, vue, react, postgresql, sql, apis, data pipelines, system architectures, ai/ml, communication, collaboration, autonomous work, testable code

Summary: Candidates must have five years of experience building and maintaining SaaS applications, strong Python development skills, and a solid foundation in system design, data structures, and algorithms. Experience with big data technologies, CI/CD, and container technologies is also required.

Skills: system design, data structures, algorithms, saas application, rest apis, python, hadoop, spark, ci/cd, docker, kubernetes, agile, continuous delivery, gitlab ci/cd, jenkins

Summary: Candidates must have strong technical execution, effective problem-solving skills, and the ability to operate within a large enterprise environment adhering to security and compliance standards, with a preference for five or more years of experience. Required functional skills include hands-on Java development, Spring Boot microservices, RESTful API proficiency, and strong experience supporting TeamConnect in a legal or corporate legal setting.

Skills: java, spring boot, react js, sql server, kafka, restful apis, microservices, teamconnect, agile, problem-solving, design, architecture, python, javascript/typescript, ui/ux principles, mentoring

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 have five years of experience building and maintaining SaaS applications, strong fundamentals in system design, data structures, and algorithms, and proficiency in Python development. Experience with big data technologies, CI/CD pipelines, and containerization is also required.

Skills: system design, data structures, algorithms, saas application, rest apis, python, hadoop, spark, ci/cd, docker, kubernetes, agile, continuous delivery, gitlab ci/cd, jenkins, django

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 need 5+ years of product software development experience, ideally in SaaS or enterprise environments, with strong expertise in Ruby on Rails and React, leaning towards backend proficiency. A great candidate must demonstrate the ability to own complex, ambiguous problems end-to-end and possess strong technical judgment.

Skills: ruby on rails, react, javascript, typescript, rspec, playwright, git, mysql, aws, software development, architectural decisions, code reviews, mentorship, testing, saas, enterprise environments

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 a minimum of 5 years of experience as a Software Development Engineer, including 5+ years expertise in C/C++/C#/Python desktop environments and 4+ years with web technologies like HTML, JavaScript/TypeScript, and CSS. A minimum of 1 year as a Technical Lead or Mentoring Lead is preferred.

Skills: c++, web development, typescript, c#, python, html, javascript, css, vs code, visual studio code, xcode, technical lead, mentoring, agile, scrum, kanban

Summary: Candidates must possess over 10 years of software development experience, including 3+ years in management, with expertise in C#, .NET Core, Java, and REST API development, alongside cloud experience in Azure or AWS. Essential requirements include strong leadership, technical acumen, experience with TDD/Domain Driven Architecture, and the ability to embrace and evolve AI-enabled development practices.

Skills: c#, .net core, java, rest api, azure, aws, microservices, tdd, domain driven architecture, solid, dry, agile, safe, team leadership, api development, ai-enhanced development tools

Summary: Candidates must possess a Bachelor's Degree in Computer Science, Engineering, or related field, or equivalent experience, along with 9–12 years of professional software development experience, including expert-level knowledge of software architecture and system design. Proven experience delivering large-scale, cloud-based systems and strong leadership/communication skills are essential.

Skills: system design, architecture design, technical execution, risk mitigation, code reviews, ci/cd, testing, observability, devops, incident response, root cause analysis, mentoring, problem-solving, cloud-based systems, test automation, saas architecture

Summary: Candidates must have 5+ years of engineering experience, expertise in Go and/or Python and/or Java, and solid database skills including data modeling experience. The ideal candidate should also possess strong problem-solving skills and the ability to provide architectural leadership for backend applications.

Skills: python, go, java, postgres, mysql, flask, spring, data modeling, microservices, cloud based software, data pipelines, security, reliability, automation, agile methodologies, automated testing

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 possess over 5 years of object-oriented software engineering experience, including 3+ years specifically with C#, and 5+ years working with SQL-based databases like Postgres, understanding schema design for performance. A minimum of 2 years developing REST APIs and proficiency with Git are also required, along with hands-on experience using AI-assisted development tools.

Skills: c#, java, sql, postgres, rest apis, git, version control, ai-assisted development tools, asp.net web api, dapper, entity framework, fluentmigrator, docker, docker compose, aws ecs, aws eks

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 have extensive experience building production-grade applications, tools, and pipelines primarily using Python, and be comfortable contributing to large, complex codebases. A proven track record in production software delivery, familiarity with CI/CD, and curiosity for extracting patterns from high-dimensional datasets are essential.

Skills: python, data modeling, automation, analytics, visualization, release engineering, deployment frameworks, simulation, ci/cd, version control, data analysis, c++, linux, machine learning, llm integration, robotics middleware

Summary: Candidates need 5+ years of development experience with strong programming fundamentals and a willingness to use Kotlin, especially within the Kotlin Multiplatform ecosystem. Required qualifications also include experience with modern mobile UI frameworks and a team-first mentality with demonstrated problem-solving skills.

Skills: kotlin multiplatform, kotlin, object-oriented design, swiftui, jetpack compose, mobile development, software testing, code reviews, agile, scrum, troubleshooting, cross-functional collaboration, data-driven development, operational excellence, swift

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 5+ years of software engineering experience, including at least 1 year in technical leadership driving decisions and project goals. Required hands-on experience involves building and scaling resilient microservice architectures using technologies like Ruby on Rails, Postgres, and AWS, preferably within a Marketing Technology stack.

Skills: software engineering, crm, martech, system stability, microservice architectures, ruby on rails, postgres, kafka, react, aws, sidekiq, graphql, marketing technology stack, terraform, cloudformation, cdk

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 bring 5-7+ years of experience, preferably in Python/Django, along with strong expertise in SQL and modern JavaScript frameworks like Vue or React. Essential requirements include experience with complex system architectures, strong communication skills, and an entrepreneurial mindset for independent problem-solving in a remote setting.

Skills: python, django, javascript, vue, react, postgresql, sql, apis, data pipelines, system architectures, ai/ml, communication, collaboration, testable code, frontend web technologies, full-stack applications

Summary: Candidates must possess 5-7+ years of work experience in Python or equivalent programming expertise, along with proficiency in at least one popular Python web framework like Django. Strong understanding of SQL, experience with JavaScript and modern JS frameworks (Vue/React), and proven ability to handle complex, non-routine problems with minimal guidance are essential.

Skills: python, django, javascript, vue, react, sql, postgresql, apis, data pipelines, system architectures, testable code, cross-team collaboration, communication, problem solving, frontend web technologies, full-stack applications

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 possess a BS or MS in a relevant quantitative field and demonstrate strong experience in developing, training, and optimizing machine learning models, particularly those involving tensor networks or physics-informed architectures. Proficiency in Python and modern ML frameworks like PyTorch or JAX, coupled with a strong mathematical foundation, is required.

Skills: quantum software engineering, machine learning, quantum machine learning, tensor networks, hybrid workflows, quantum computing, quantum sensing, model architectures, mathematical physics, python, pytorch, jax, tensorflow, scientific computing, hpc, linear algebra

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 must possess strong communication skills, be self-starters motivated by curiosity, and have a firm grasp of software development fundamentals, computer engineering, and distributed systems. Required experience includes strong proficiency with cloud infrastructure (AWS), infrastructure as code, CI/CD systems, databases like MongoDB, monitoring tools, and backend systems using Node.js/TypeScript.

Skills: aws, mongodb, infrastructure as code, ci/cd, datadog, authentication, authorization, observability, reliability practices, node.js, typescript, trpc, bullmq, software development fundamentals, distributed systems, problem-solving

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 a Bachelor's degree in Computer Science or equivalent experience, along with over five years of professional development experience, including hands-on work designing and implementing large-scale architectural changes and developing RESTful APIs and backend applications. A willingness to learn Ruby and significant experience with an RDBMS are also required.

Skills: restful api, database design, api endpoints, web applications, mobile applications, external integrations, api server, database schemas, cross functional team, platform development, refactoring, test frameworks, distributed source control, ruby, rdbms, saas applications

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 over two years of professional software engineering experience with a proven track record of shipping high-quality work, demonstrating strong proficiency in Python, Ruby, or Javascript, preferably with React experience. Essential qualities include excellent communication, collaboration skills, a passion for solving complex problems, and a proactive mindset.

Skills: python, ruby, javascript, react, front-end development, back-end development, full stack development, code quality, testing practices, collaboration, communication, problem solving, initiative, data analytics, product feature development, operational tooling

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 along with strong skills in either Python or Ruby. Essential technical requirements include experience with modern front-end frameworks (React preferred), relational databases, and SQL, coupled with excellent communication and ownership skills.

Skills: javascript, python, ruby, react, sql, frontend development, backend development, full stack development, code quality, testing, deployment, collaboration, communication, problem solving, mongodb, data warehousing

Summary: Candidates must possess 8+ years of software engineering experience and a Bachelor’s degree or higher in Computer Science or a related field, demonstrating a strong background with the LAMP/LEMP stack and Linux proficiency. Legal authorization to work in the U.S. without visa sponsorship is mandatory.

Skills: lamp/lemp stack, linux command line, javascript, oops, reactjs, jquery, bootstrap, restful apis, ajax, microservices architecture, sql, nosql, cassandra, mongodb, redis, rabbitmq

Summary: Candidates must have 3-5 years of backend development experience using languages like JavaScript, TypeScript, or Node.js, along with proficiency in designing and implementing RESTful APIs and strong command of SQL and NoSQL databases. A BS or MS in Computer Science or a related field is required, along with extensive experience using AWS services.

Skills: backend development, system design, apis, data infrastructure, javascript, typescript, node.js, restful apis, sql, nosql, git, aws, lambda, sqs, rds, ec2

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 4+ years of experience in data analytics and machine learning, supported by a strong background in statistical analysis, linear algebra, and modeling. Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL is required, along with experience in cloud platforms like Azure ML and MLOps frameworks.

Skills: machine learning, data analysis, python, sql, statistical analysis, linear algebra, feature extraction, azure machine learning, scikit-learn, pandas, numpy, mlops, xai, spark, hadoop, agile

Summary: Candidates must have 4+ years of professional software engineering experience, including designing and building scalable backend systems using languages like Java, Kotlin, Go, or Python. Required experience also includes developing distributed systems and contributing to decision engines that integrate machine learning models.

Skills: backend services, distributed systems, kafka events, rule engines, decisioning systems, api development, fraud detection, verification workflows, data integration, machine learning model integration, java, kotlin, go, python, observability, compliance

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 need at least 2 years of software development experience in an object-oriented language like Java, Go, or C#, along with experience designing and integrating REST APIs. Required technical experience also includes working with cloud providers like AWS, databases (relational/NoSQL), and asynchronous technologies such as Kafka or SQS.

Skills: software development, object-oriented language, java, go, c#, rest apis, distributed systems, aws, cloud provider services, relational databases, nosql databases, mysql, dynamodb, asynchronous architectures, kafka, sqs

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

Skills: backend services, apis, java, kotlin, testing, object oriented language, distributed systems, android applications, front end applications, ux collaboration, product management collaboration, code-base management

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 have a minimum of three years of software engineering experience, a strong foundation in computer science principles like data structures and algorithms, and proficiency with modern web frameworks and relational databases like PostgreSQL. Familiarity with testing frameworks and caching strategies is also required.

Skills: elixir, phoenix, rust, java, grpc, graphql apis, sql, datadog, bugsnag, pagerduty, agile, scrum, postgresql, git, github, testing frameworks

Summary: Candidates must have a minimum of three years of software engineering experience, a strong foundation in computer science principles like data structures and algorithms, and proficiency with modern web frameworks and relational databases like PostgreSQL. Experience with testing frameworks and caching strategies is also expected.

Skills: elixir/phoenix, rust, java, grpc, graphql apis, sql, datadog, bugsnag, pagerduty, agile/scrum, distributed systems, data structures, algorithms, software design, postgresql, git

Summary: Candidates must possess a Bachelor's or Master's degree in a STEM field and have over 5 years of experience developing Mobile (iOS and Android) and web applications with strong knowledge of Xamarin/MAUI, C#, and .NET Web APIs. A deep understanding of modern application architecture, familiarity with various database technologies (SQL and NoSQL), and comfort in an Agile/Scrum environment are also required.

Skills: xamarin, maui, c#, .net web apis, ios, android, reactnative, typescript, react.js, sql server, postgresql, mongodb, aws cloud, agile, scrum, mobile application development

Summary: Candidates must have 7+ years of professional experience with C# and the .NET ecosystem, along with 3+ years of hands-on AWS experience utilizing services like S3, EC2, SNS, and SQS. A Bachelor's degree in a related field and experience with batch processing, message-driven systems, and Agile processes are required.

Skills: software engineer, aws, .net, c#, batch processing, event-driven applications, data validation, cloud security, iam, nosql, documentdb, redis, scrum, agile, ci/cd, devops

Summary: Candidates must have 5+ years of object-oriented software engineering experience (C#, Java, etc.) and 5+ years with SQL-based databases, demonstrating schema design knowledge for performance. A minimum of 3 years of C# experience and 2 years developing REST APIs is required, alongside proficiency with Git and AI-assisted development tools.

Skills: c#, java, sql, postgres, rest apis, git, version control, ai-assisted development, asp.net web api, dapper, entity framework, fluentmigrator, docker, docker compose, aws ecs, aws eks

Summary: Candidates need a BS/BA degree or relevant experience, along with over 5 years of experience shipping features and products, including development experience with AWS, Cloudflare, Node.js, and MongoDB. The role requires a passion for building developer platforms, strong collaboration skills, and a focus on scalability and production rigor.

Skills: aws, cloudflare, node.js, mongodb, infrastructure, backend services, cli tooling, apis, edge compute, middleware, scalability, security, developer experience, observability, metrics, tracing

Summary: Candidates must have 5+ years of professional software development experience, including strong operational experience with production systems in AWS and proficiency in DevOps practices like CI/CD and Infrastructure-as-Code. Success requires owning systems end-to-end, improving reliability, and demonstrating comfort across the full stack with primary strength in infrastructure.

Skills: devops, front-end, aws, architecture, infrastructure-as-code, terraform, ci/cd, docker, react, typescript, python, postgres, apis, observability, underwriting, geospatial analytics

Summary: Candidates must have 5+ years of professional software development experience, including strong operational experience with production systems in AWS, and proficiency in DevOps practices like CI/CD and Infrastructure-as-Code. Success requires demonstrating end-to-end system ownership and the ability to improve reliability, scalability, and developer workflows.

Skills: devops, front-end, aws, architecture, infrastructure-as-code, terraform, ci/cd, docker, react, typescript, python, postgres, api, underwriting, geospatial analytics, observability

Summary: Candidates must have 5+ years of professional software development experience, including strong operational experience with production systems on AWS, and proficiency in DevOps practices like CI/CD and Infrastructure-as-Code. A successful candidate will be product-minded, comfortable across the stack, and capable of owning systems end-to-end while improving reliability and developer workflows.

Skills: devops, aws, full-stack, front-end, infrastructure-as-code, terraform, ci/cd, docker, react, typescript, python, postgres, underwriting, geospatial analytics, observability, apis

Summary: Candidates must have 5+ years of professional software development experience, including strong operational experience with production systems on AWS, and proficiency in DevOps practices like CI/CD and Infrastructure-as-Code. The role requires comfort across the stack with primary strength in infrastructure, followed by front-end tooling and backend systems.

Skills: devops, aws, full-stack, front-end, infrastructure-as-code, terraform, ci/cd, docker, react, typescript, python, postgres, underwriting, geospatial analytics, observability, monitoring

Summary: Candidates must have 5+ years of professional software development experience, including strong operational experience with production systems on AWS, and proficiency in DevOps practices like CI/CD, Docker, and monitoring. Essential technical skills include Infrastructure-as-Code, React/TypeScript frontend development, and Python backend experience.

Skills: devops, front-end, aws, architecture, react, typescript, terraform, ci/cd, docker, python, postgres, infrastructure-as-code, observability, underwriting, geospatial analytics, apis

Summary: Candidates must have 5+ years of professional software development experience, including strong operational experience with production systems on AWS, and proficiency in DevOps practices like CI/CD and Infrastructure-as-Code. Essential strengths include infrastructure, followed by front-end tooling, and backend systems, with a requirement for a Bachelor's degree in a related field.

Skills: devops, front-end, aws, architecture, infrastructure, react, typescript, python, terraform, ci/cd, docker, observability, postgres, apis, geospatial analytics, underwriting

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 need a minimum of 2 years of software development experience in an object-oriented language like Java, Go, or C#, along with experience designing and integrating REST APIs and building mission-critical, performant customer-facing systems. Required technical experience also includes working with cloud providers like AWS, databases (relational/NoSQL), and asynchronous technologies such as Kafka or SQS.

Skills: software development, object-oriented language, java, go, c#, rest apis, distributed services, cloud provider services, aws, relational databases, nosql databases, asynchronous architectures, kafka, sqs, telemetry, observability tools

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 over 10 years of experience building and scaling backend systems, with proven hands-on experience decomposing legacy systems, especially PHP-based ones, into modern service platforms. Essential knowledge includes mastery of integration with ERP/accounting systems, architecting high-volume financial systems, and understanding security/compliance standards like PCI and SOC2.

Skills: system modernization, service-oriented architecture, billing systems, license management, financial systems, legacy system decomposition, transactional integrity, distributed systems, erp integration, accounting platform integration, pci compliance, soc2 compliance, gdpr compliance, oauth 2.0, hmac, mtls

Summary: Candidates must demonstrate leadership experience in IT Support, Digital Workplace, or Endpoint Engineering, with a proven ability to lead global or distributed technical teams. Deep hands-on knowledge of endpoint management tools like Intune, Autopilot, and JAMF, alongside strong operational understanding of Windows, macOS, and mobile ecosystems, is required.

Skills: people leadership, support services strategy, helpdesk operations, endpoint security, device management, incident management, patch management, vendor management, knowledge management, support automation, intune, autopilot, jamf, edr, soc 2 compliance, iso 27001 compliance

Summary: Candidates must have 7+ years of software engineering experience, including 3 to 5+ years in engineering management, specifically within capital-conscious, high-growth settings. Success requires proven ownership of revenue-tied products, hands-on experience with cost-constrained AI systems, and strong product/financial intuition to make ROI-grounded tradeoffs.

Skills: software engineering management, ai product development, arr growth, capital efficiency, product delivery, cost management, scalability, ai infrastructure, architectural decisions, engineering roi, cycle times, financial awareness, design reviews, build vs. buy tradeoffs, inference, training

Summary: Candidates must possess a Bachelor's degree in a related field or equivalent experience, along with 5+ years of professional software development experience heavily focused on IAM systems. Essential technical knowledge includes proficiency in a modern programming language and demonstrable experience with identity protocols like OAuth 2.0, OpenID Connect, and SAML.

Skills: identity and access management, design, development, deployment, authentication, authorization, user provisioning, directory services, technical discussions, architectural reviews, mentorship, security, data privacy, compliance, performance optimization, on-call support

Summary: Candidates must possess at least 8 years of experience in coding and development on cloud-based platforms, along with demonstrated expertise in IVR systems or similar contact center technologies. Strong background in designing large-scale cloud solutions and implementing API/Web Services, plus in-depth knowledge of AI implementation processes, are required.

Skills: ivr, omnichannel apis, cloud infrastructure, agile, api/web services, proof-of-concept development, artificial intelligence (ai), sql, mongodb, contact center technologies, cloud solutions, sdlc

Summary: Candidates must have a Bachelor’s degree in Computer Science, Engineering, or equivalent, along with 7+ years of cloud engineering experience and at least 2 years managing GKE on-premise environments. Strong skills in containerization, orchestration, infrastructure automation tools, and scripting languages are required.

Skills: gke, aks, apigee hybrid, google distributed cloud virtual for vmware, kubernetes, docker, istio, terraform, ansible, python, go, bash, powershell, iam, rbac, troubleshooting

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: Candidates must have experience crafting and operating backend services that orchestrate automated decisions, ideally in a large-scale environment, and familiarity with cybersecurity, particularly financial fraud. Proficiency in at least one backend language like PHP, a frontend language like Typescript, and a query language like SQL is required, along with a commitment to data-informed solutions and robust system hardening.

Skills: backend services, decision systems, risk controls, rules engines, distributed environment, cybersecurity, financial fraud, php, typescript, sql, data analysis, experimentation, collaboration, ownership, testing, monitoring

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 have 3+ years of professional backend software engineering experience, demonstrating strong proficiency in Java and building RESTful APIs, along with a solid understanding of PostgreSQL and database performance fundamentals. Experience in AWS environments and modern CI/CD practices is required, along with an enthusiasm for improving legacy systems.

Skills: java, backend software engineering, restful apis, postgresql, database performance, aws, ci/cd, code reviews, api workflows, infrastructure, devops, troubleshooting, legacy systems modernization, terraform, infrastructure-as-code

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 5+ years of experience as an infrastructure/DevOps engineer with significant project completion, specifically involving AWS, Kubernetes, and Terraform. A strong technical background in networking, Linux, and backend engineering is required, along with proficiency in coding for automation and incident response experience.

Skills: infrastructure as code, python, automation, monitoring systems, devops, migrations, incident response, root cause analysis, ai technologies, aws, kubernetes, terraform, ci/cd, networking, linux, backend software engineering

Summary: Candidates must have at least 7 years of full-stack engineering experience building production-grade software, with strong foundations in data structures, algorithms, and systems design being highly valued. The ideal applicant enjoys tackling ambiguous problems, takes end-to-end ownership, and is comfortable collaborating asynchronously with a global team.

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

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 have at least two 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 framework experience, alongside a problem-solving mindset and collaborative spirit.

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, asynchronous processing

Summary: Candidates need at least two years of full-stack engineering experience building production-grade software, with strong foundations in data structures, algorithms, and systems design being highly valued. Key attributes include problem-solving ability, taking end-to-end ownership, and comfortable asynchronous collaboration within a global team.

Skills: typescript, nest.js, next.js, react, react native, expo, graphql, postgres, dynamodb, clickhouse, redis, aws, microservices, ecs, eks, lambda

Summary: Candidates need at least two years of full-stack engineering experience building production-grade software, preferably in 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, asynchronous processing

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 need at least 3 years of experience developing commercial software and 2 years in an object-oriented environment like C#/.NET, along with experience in relational or non-relational databases and REST architecture. A Bachelor's degree in a technology field or 4 years of equivalent experience is required.

Skills: agentic ai development, software engineering, c#, .net, ms sql, oracle, mongodb, elastic, cosmos, http, rest architecture, ai tools, unit testing, integration testing, acceptance testing, git

Summary: Candidates need over 7 years in software engineering, emphasizing API development and distributed systems, along with more than 3 years managing engineering teams in an agile setting. Technical proficiency in streaming technologies, event-driven systems, and experience with observability patterns in microservices are essential.

Skills: api development, distributed systems, team management, agile environment, message brokers, streaming, asynchronous job processing, event driven systems, event stream processing, websockets, real-time applications, personalization engines, distributed tracing, microservices, observability, api design

Summary: Candidates must have 5+ years of experience building production services and strong proficiency in Go, or a similar systems language with a willingness to learn Go. Required technical comfort also includes React, TypeScript, GraphQL, BigQuery/SQL, and Python for data work, alongside familiarity with observability platforms and GCP infrastructure.

Skills: go, python, sql, react, typescript, graphql, bigquery, new relic, grafana, datadog, restful apis, distributed systems, nrql, promql, gcp, terraform

Summary: Candidates must possess over 3 years of professional experience in software design and delivery, along with 3+ years of Python experience and proficiency in Unix/Linux environments. Required knowledge includes extensive debugging skills, source code management tools like Git, basic networking protocols, and strong software design principles.

Skills: python, software design, testing, deployment, maintenance, scalability, performance, technical leadership, mentoring, code reviews, relational databases, non-relational databases, unix/linux, debugging, git, networking protocols

Summary: Candidates must possess 5+ years of back-end software development experience, with strong proficiency in TypeScript and knowledge of GraphQL schema design. Essential technical requirements include experience with core AWS Serverless components (DynamoDB, API Gateway, Lambda, Event Bridge) and familiarity with CI/CD pipelines and distributed systems architecture.

Skills: typescript, graphql, aws serverless, infrastructure as code, devops, aws api gateway, lambda, dynamodb, aws cdk, aws sdk, ci/cd, version control, agile/scrum, root cause analysis, security, performance

Summary: Candidates must have 8+ years of development experience, a BS in Computer Science or equivalent, and strong fundamentals in object-oriented design, data structures, and algorithms, with functional programming experience being highly desired. Experience designing large-scale, distributed production software on public clouds like AWS and GCP is required.

Skills: java, scala, distributed systems design, reverse engineering, mobile platforms, machine learning, aws, gcp, object-oriented design, data structures, algorithms, functional programming, automated testing, metrics collection, monitoring, agile

Summary: Candidates must have 8+ years of development experience, a strong motivation for self-directed learning, and experience designing and implementing large-scale, distributed, production-class software on public cloud platforms like AWS and GCP. Strong fundamentals in object-oriented design, data structures, and algorithms are required, with functional programming experience being highly desired.

Skills: java, scala, distributed systems design, reverse engineering, mobile applications, aws, gcp, object-oriented design, data structures, algorithms, functional programming, automated testing, metrics collection, monitoring, continuous delivery, agile

Summary: Candidates must have 4+ years of relevant experience building iOS applications using Objective-C and Swift within an Agile framework, including experience with unit testing and multithreaded programming. Substantial experience with Git, RESTful APIs, relational databases, and package managers is also required.

Skills: objective-c, swift, ios development, agile, unit testing, multithreaded programming, restful apis, git, relational database, package manager, ci/cd, collaboration, mentorship, ui optimization, network communications, design implementation

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 have 3 to 7 years of professional experience in data engineering supporting AI, ML, or NLP systems, with deep expertise in AWS technologies like Bedrock, Redshift, MongoDB, and S3. Proficiency in Java, Springboot, orchestration tools like Airflow, and experience operationalizing LLMs in production are required.

Skills: data engineering, ai, machine learning, aws bedrock, llms, java, springboot, airflow, prefect, kafka, kinesis, microservices, restful api, observability, ci/cd, react

Summary: Candidates must have 3 to 7 years of professional experience in data engineering supporting AI, ML, or NLP systems, with deep expertise in AWS technologies like Bedrock, Redshift, MongoDB, and S3. Proficiency in Java, Springboot, orchestration tools like Airflow, and experience operationalizing LLMs in production environments are required.

Skills: data engineering, ai, machine learning, aws bedrock, llms, salesforce, tableau, slack, java, springboot, airflow, prefect, kafka, kinesis, microservices, restful api

Summary: Candidates must possess 5+ years of backend software engineering experience, demonstrating strong proficiency in Go and/or Ruby on Rails, along with experience building and operating event-driven systems. Required technical skills include proficiency with gRPC, NoSQL databases like DynamoDB, strong relational database skills (PostgreSQL), and fluency with observability platforms.

Skills: go, ruby on rails, event-driven systems, sqs, kafka, grpc, protocol buffers, dynamodb, nosql, postgresql, honeycomb, datadog, distributed tracing, observability, technical design, code reviews

Summary: Candidates must have strong experience with Python 3.x (including CLI development and typing) and solid experience with Go (shared library development, gRPC/HTTP). Required infrastructure knowledge includes Bazel in a monorepo, Docker/Kubernetes concepts, AWS, modern CI systems, and experience with linting/static analysis tools.

Skills: python 3.x, go, bazel, kubernetes, aws, grpc, protobuf, cli development, ci/cd, monorepo, canary analysis, test automation, static analysis, infrastructure as code, llm integration, data structures

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 possess over 6 years of experience in IAM securing applications, including expertise with Certificates, Identity, and RBAC, along with strong troubleshooting skills and scripting experience in PowerShell. Essential technical requirements include expert-level understanding of SSO, MFA, PAM, and extensive experience with Auth0 tenant design and Azure AD Enterprise Applications.

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

Summary: Candidates must possess over 6 years of experience in IAM securing applications, including expertise with Auth0 tenant design, implementation, and best practices, alongside experience leading Oauth2, OIDC, and SAML projects. Essential technical requirements include scripting experience (PowerShell), knowledge of Azure AD, and the ability to debug complex cross-system problems.

Skills: identity and access management (iam), auth-0, azure ad, technical leadership, user migrations, certificate management, information security, automation, powershell, oauth2, oidc, saml, single sign-on, multi-factor authentication (mfa), privileged access management (pam), rbac

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 must have 5-7 years of Software Engineering experience, proficiency in Python (2-3 years minimum), and strong experience with cloud environments like AWS, Docker, and Kubernetes. A solid understanding of software design principles, production operations, and infrastructure as code tools is required.

Skills: software engineering, mlops, cloud computing, aws, docker, kubernetes, python, production environments, software design principles, software architecture, design patterns, testing, version control, continuous integration, terraform, aws cdk

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 have advanced Scala development experience, strong proficiency with Spark and Kafka for handling large data streams, and enterprise experience with NoSQL implementation and ETL development.

Skills: scala, spark, kafka, data pipelines, nosql, etl development, database design, performance tuning, scala 2.12/2.13, stream processing, unit tests, technical design, software development life cycle, communication skills, analytical skills, problem-solving skills

Summary: Candidates must possess eight years of software engineering experience, including a proven track record of technical leadership in modern development environments, with expert proficiency in microservices, distributed systems, containerization (Docker/Kubernetes), and asynchronous programming patterns. Strong expertise in Node.js, Express.js, API design, OAuth 2.0/JWT, public cloud architectures (AWS/Azure/GCP), React.js, and SQL databases is required.

Skills: technical leadership, software design, architecture, microservices, distributed systems, containerization, orchestration, docker, kubernetes, asynchronous programming, apis, node.js, express.js, oauth 2.0, jwt, react.js

Summary: A minimum of a Bachelor’s Degree in a related field or equivalent experience is required, along with 5+ years of software programming experience, including 1+ year leading and mentoring teams. Candidates should be proficient in industry-standard languages, experienced with data structures, algorithms, and modern protocols like REST, and knowledgeable in microservices architecture.

Skills: java, spring framework, spring boot, microservices, rest apis, mongodb, nosql, ai tools, python, go, c++, javascript, algorithms, design patterns, grpc, kafka

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: A Bachelor's degree in a related technical discipline and proficiency in C++ and Java are required, along with demonstrated knowledge of software development principles and Object-Oriented Design. Candidates must have experience developing software in Linux environments, analyzing existing codebases, and implementing full SDLC activities including automated testing.

Skills: c++, java, linux, rtos, vxworks, real-time java, c2 integration, message sequencing, power sequencing, sdlc, unit testing, integration testing, object-oriented design, open architecture, cots hardware, software configuration management

Summary: Candidates must have over 7 years of experience in performance, load, or scalability engineering, with proven experience testing distributed, cloud-native systems and strong hands-on skills in K6 for large-scale WebSocket testing. Deep understanding of concurrency, event-driven systems, and experience running tests within Kubernetes environments are essential.

Skills: performance engineering, load testing, distributed systems, websockets, cloud-native, kubernetes, k6, testkube, github actions, aws security, concurrency, event-driven systems, datadog, ci/cd, python, javascript

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 need a minimum of two to four years of relevant software development experience, proficiency in an object-oriented language like Java, and familiarity with front-end technologies, databases, and cloud computing. Strong expertise in automation, testing frameworks (Selenium, Playwright), CI/CD integration, and quality collaboration is highly preferred.

Skills: software development, refactoring, testing, deployment, agile processes, mentoring, html, css, javascript, typescript, java, python, sql, nosql, cloud computing, ci/cd

Summary: Candidates need at least 3 years of software engineering experience, ideally building and scaling shared systems and internal platforms supporting multiple roadmaps. Proficiency in writing network services or asynchronous code in Rust, coupled with a security-first mindset and the ability to debug across the stack, is required.

Skills: rust, software engineering, systems ownership, architecture, distributed systems, network services, asynchronous code, security-first mindset, debugging, rpc protocols, kafka, event driven systems

Summary: Candidates must possess over three years of software engineering experience, ideally in building consumer-facing products, with proficiency in writing asynchronous code and network services using Rust. A security-first mindset and the ability to autonomously debug issues across the stack are also required.

Skills: rust, software engineering, network services, asynchronous code, security-first mindset, debugging, distributed systems, rpc protocols, kafka, event driven systems, product intuition, performance, reliability, low-latency solutions

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: Candidates must have a strong engineering background (e.g., Computer Science, Software Engineering, Mathematics, or Physics) and possess 3+ years of experience developing software using C++, Python, or Rust within a Linux environment. Applicants must be United States citizens eligible for US Clearance.

Skills: c++, python, rust, linux, data processing, systems integration, robotics, autonomy, networking, troubleshooting, debugging, software deployment, mission critical software, multi-agent systems, ros, moos-ivp

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 must have 3+ years of experience developing commercial software and creating applications in an object-oriented environment like C#/.NET, along with 2+ years of JavaScript experience. A Bachelor's degree in a technology field or equivalent work experience is required, alongside proficiency in databases, REST architecture, testing, and version control systems.

Skills: software development, design solutions, code reviews, unit testing, integration testing, acceptance testing, performance optimization, refactoring, technical documentation, secure programming, object-oriented programming, javascript, relational databases, non-relational databases, http, rest architecture

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: Candidates must possess a Bachelor’s degree or equivalent experience, coupled with 5+ years in full stack software engineering, including 3+ years in .NET development with REST APIs and 3+ years in Frontend development using frameworks like React or Angular. Additionally, experience with SQL databases, ORMs, and Agile methodologies is required, along with US Citizenship or Permanent Residency due to federal contract requirements.

Skills: .net, full stack software engineering, rest api, frontend development, angular, react, sql, sql server, entity framework, orm, agile, scrum, code reviews, unit testing, integration testing, aws

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