Software Engineering Jobs

Summary: Candidates must have a mastery of an object-oriented programming language, preferably Java, and at least 5-7 years of relevant work experience. Strong leadership, communication skills, and knowledge of cloud infrastructure and data processes are also required.

Skills: leadership, data engineering, cloud infrastructure, data modeling, etl processes, sql, project management, troubleshooting, problem solving, communication, collaboration, software development, mentoring, automation, agile methodologies, technical escalation

Summary: Candidates should be currently enrolled as seniors in a bachelor's degree program in computer science or a related discipline, with a preferred GPA of 3.0 or higher. Proficiency in object-oriented programming, particularly in C#, and strong analytical skills are essential.

Skills: c#, object-oriented programming, analytical skills, problem-solving, self-motivation, agile methodologies, scrum, webapi, wcf, asp.net, asp.net core, cloud computing, aws, software development, code quality, collaboration

Summary: Candidates must have over 10 years of deeply technical engineering experience, including 3-4 years managing and coaching engineers, with a strong passion for Kubernetes and distributed systems designed for high scale. Essential technical skills include hands-on experience with backend languages like Go, Rust, or Python, and the ability to own complex projects from planning to completion.

Skills: software engineering leadership, mentoring, coaching, architectural decisions, design reviews, distributed backend services, kubernetes-native ecosystem, system reliability, performance improvement, cross-functional collaboration, go, rust, python, project ownership, api design, high-volume systems

Summary: Candidates must have over 5 years of experience managing engineering teams covering frontend, backend, and platform roles, alongside over 7 years developing enterprise software using technologies like Golang, Kubernetes, and Azure. Expertise in scalable, concurrent systems, distributed concepts, SaaS architecture, and cloud database/storage systems is required.

Skills: frontend engineering, backend engineering, platform engineering, react, golang, kubernetes, azure, saas architecture, distributed systems, agile ceremonies, roadmap planning, risk management, team management, on-call rotation management, data resilience, cloud-native technologies

Summary: Candidates should have 8+ years of industry experience with at least 3 years in a leadership role within a data-driven environment. Experience with a variety of technologies and methodologies, including Agile, is required.

Skills: software engineering, agile, java, go, react, aws, ci/cd, automated testing, mysql, saas, real-time data streaming, apache flink, kubernetes, scrum, kanban

Summary: Candidates should have over 12 years of software engineering experience, with at least 5 years in management roles. A deep understanding of distributed systems and the ability to manage dependencies across teams is essential.

Skills: cross-organizational dependency management, software engineering, team management, platform teams, distributed systems, high-availability systems, recruitment, stakeholder alignment, e-commerce, payments, checkout systems, mobile development, web development, re-architecture, experimentation, backend frameworks

Summary: Candidates should have 5+ years of experience in software development and 2+ years in a technical leadership role. A strong focus on customer and business outcomes, along with excellent communication and people leadership skills, is essential.

Skills: software development, technical leadership, team management, backend systems, typescript, node.js, problem solving, collaboration, communication, mentoring, coaching, technical direction, architectural decisions, user experience, business acumen, inclusive culture

Summary: Candidates should possess a bachelor's degree or equivalent experience along with 6-8 years of technical project management experience. A Project Management Certification (PMP, CSM, CAPM) is strongly preferred.

Skills: project management, agile development, communication skills, problem solving, team collaboration, budget management, technical guidance, scope management, stakeholder coordination, research skills, time management, adaptability, leadership, analytical skills, prioritization, training

Summary: Candidates must have a Bachelor's degree in a related field and at least 10 years of professional software experience, including 3 years managing engineering teams. Strong hands-on experience with modern data platform tooling and knowledge of SQL, Python, and Typescript is required.

Skills: software engineering, data platforms, microservices architecture, generative ai, data analytics, sql, python, typescript, etl processes, data modeling, apache airflow, aws glue, aws redshift, aws sagemaker, aws dynamo, aws quick sight

Summary: Candidates must have a Bachelor's degree in Computer Science or related field, or equivalent experience, along with 5+ years in software engineering and 2+ years in a technical leadership role. Strong hands-on experience with Python/Django and JavaScript/React is required.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, datadog, third-party integrations, system monitoring, incident response, technical planning, vendor management, mentoring

Summary: Candidates must have a Bachelor's degree in Computer Science or related field, or equivalent experience, along with 5+ years in software engineering, including 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django and JavaScript/React is required, as is experience operating production systems using Datadog.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, production code ownership, technical planning, vendor integrations, system monitoring, incident response, mentoring, stakeholder partnership

Summary: Candidates should have a bachelor's degree in Computer Science or a related field, along with 5+ years of professional software engineering experience and 2+ years in a technical leadership role. Strong hands-on experience with Python, Django, JavaScript, and React is required, along with experience in monitoring and operating production systems.

Skills: python, django, javascript, react, software engineering, technical leadership, production systems, system monitoring, incident response, collaboration, problem-solving, vendor management, team management, code review, technical planning, integration

Summary: Candidates must have a Bachelor's degree in Computer Science, Engineering, or equivalent experience, along with 5+ years in professional software engineering, including production systems support. A minimum of 2 years in a technical leadership role is required, alongside strong hands-on experience with Python/Django for backend and JavaScript/React for frontend development.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, datadog, third-party integrations, system monitoring, incident response, technical planning, mentoring, stakeholder partnership

Summary: Candidates must have a Bachelor's degree in Computer Science, Engineering, or equivalent experience, along with 5+ years in professional software engineering, including production system support, and 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django for backend and JavaScript/React for frontend development is required, as is experience with system monitoring tools like Datadog.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, system monitoring, third-party integrations, vendor management, incident response, technical planning, mentoring, datadog

Summary: Candidates must possess a Bachelor's degree or equivalent experience, including over 10 years in large-scale software product engineering and at least 2 years in software management, mentoring effective teams. Proven ability to define short and long-term strategy for scalability and communicate effectively across all organizational levels 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 should have 7+ years of software engineering experience, including at least 3 years in a management role. A bachelor's degree in a related field is preferred, along with deep expertise in SCRUM and Agile methodologies.

Skills: team leadership, scrum, agile, project execution, contractor management, safety compliance, rtos, embedded systems, kernel-level development, documentation, performance management, resource allocation, risk management, stakeholder communication, certification, quality assurance

Summary: Candidates must have proven experience as an Engineering Manager or Tech Lead with a strong technical background in Python, React, Kubernetes, and cloud infrastructure, including leading modernization initiatives. Excellent people leadership skills are required for mentoring and growing engineering teams, alongside strong collaboration skills for stakeholder alignment.

Skills: engineering manager, tech lead, python, react, kubernetes, cloud infrastructure, modernization initiatives, people leadership, mentoring, roadmap execution, technical excellence, ci/cd, observability, recruiting, team culture, technical debt management

Summary: The ideal candidate should have at least 2 years of experience leading a team of software engineers and strong proficiency in modern JavaScript and TypeScript. Experience with scalable UI applications, APIs, and data visualization is also required.

Skills: software engineering, team leadership, javascript, typescript, node.js, nestjs, react, redux, api development, data visualization, sql, cloud technologies, aws, kubernetes, terraform, cryptocurrency, blockchain

Summary: Candidates must have a proven track record managing large engineering teams and experience with budget responsibility. A strong background in modern software development practices and cloud technologies is essential, along with the ability to connect engineering work to business outcomes.

Skills: technical leadership, architecture, business ownership, financial accountability, people management, engineering excellence, quality, cross-functional partnership, talent strategy, team building, cloud technologies, microservices, devops, budget management, performance optimization, agile methodologies

Summary: Candidates should have over 8 years of software or infrastructure engineering experience, including 2 years in a management role. Experience with production database platforms and cloud providers is essential.

Skills: software engineering, database management, cloud infrastructure, automation, incident response, security, cost optimization, observability, performance tuning, disaster recovery, team leadership, cross-functional collaboration, infrastructure as code, kubernetes, postgresql, mysql

Summary: Candidates must have a bachelor's degree in Computer Science or Engineering and 8-10 years of experience in software development. Additionally, 6-8 years of experience as a people manager is required.

Skills: software development, team leadership, web application development, javascript, html, css, angular, typescript, c#, .net core, rest, aws, ci/cd, agile, database management, security practices, debugging

Summary: Candidates should have 5+ years of experience building backend/fullstack applications and 2-5 years of experience managing teams of 5 or more engineers. Strong experience in scalable backend systems and ML Ops platforms is also required.

Skills: software engineering, team management, full-stack development, machine learning, data engineering, api development, user experience, agile methodologies, problem solving, scalable systems, technical leadership, cross-functional collaboration, process improvement, mentoring, product strategy, communication

Summary: Candidates should have over 10 years of experience in building and operating distributed systems, along with 5+ years of people management experience. Strong communication skills and a solid understanding of software quality practices are also required.

Skills: people management, distributed systems, stakeholder management, api-first system design, cloud operations, software quality practices, data capabilities, java, node.js, vue, event-driven systems, technical strategy, incident readiness, continuous improvement, communication, coaching

Summary: Candidates should have an MS or PhD in a relevant field with 12+ years of industry experience and a strong grasp of computer architecture and machine learning fundamentals. Proficiency in C/C++ and Python, along with experience in implementing algorithms for specialized hardware, is essential.

Skills: software kernels, computer architecture, data structures, system software, machine learning, c/c++ development, python development, embedded systems, fpgas, dsps, gpus, ai accelerators, ml frameworks, ml compilers, leadership, team collaboration

Summary: A Bachelor's Degree in Computer Science or related field is required, along with a minimum of 6 years of software development experience. Knowledge of SaaS operations and strong communication skills are essential.

Skills: software engineering management, agile software development, data analysis, sdlc, estimation, cloud-based applications, troubleshooting, react, javascript, typescript, nodejs, oop, typeorm, mysql, git, aws

Summary: Candidates should have a strong background in software engineering and leadership experience in delivering quality software. Effective communication and collaboration skills are essential for mentoring and guiding the team.

Skills: software engineering, leadership, performance facilitation, agile methodologies, full-stack development, communication, collaboration, mentorship, coaching, recruiting, problem solving, team management, feedback, employee development, technical background, user-facing products

Summary: Candidates should have 7+ years of software engineering experience and 2+ years in a management role. A strong understanding of scalable systems and experience in FinTech or regulated industries is essential.

Skills: software engineering, people management, content management systems, headless architectures, agile methodologies, php, graphql, sql, javascript, typescript, security best practices, data privacy, compliance, mentorship, collaboration, problem solving, decision making

Summary: Candidates should have 7+ years of software engineering experience and 2+ years as a people manager. Proven experience in delivering production software in FinTech or regulated industries is essential.

Skills: software engineering, team leadership, agile methodologies, content management systems, headless architecture, php, graphql, sql, javascript, typescript, security best practices, data privacy, collaboration, problem solving, mentorship, continuous improvement

Summary: Candidates should be pursuing a Bachelor's or Master's degree in a relevant field and have experience programming in languages such as C, C++, Java, or Kotlin. Familiarity with embedded systems, Linux development environments, and version control tools is also required.

Skills: c, c++, java, kotlin, embedded systems, device software, systems programming, linux, version control, problem solving, communication, collaboration, power-constrained devices, rtos, android development, peripheral protocols

Summary: Proven experience leading engineering teams in CI/CD and build systems is essential. A strong background in modern automation tools and cloud-native environments is also required.

Skills: continuous integration, build systems, developer productivity, automation tools, cloud-native environments, infrastructure-as-code, python, kotlin, java, problem-solving, communication, leadership, mentoring, technical decision-making, monitoring, incident response

Summary: Candidates should have 15+ years of experience in Machine Learning or related fields and a successful track record in leading ML teams. They must be comfortable working in matrix organizations and have experience in hiring and retaining talent.

Skills: machine learning, ai, model development, business outcomes, product leadership, cross functional collaboration, talent acquisition, ml platform engineering, experimentation culture, risk management, legal compliance, data analysis, transformers, underwriting, fraud detection, personalization

Summary: Candidates must have 8+ years of software engineering experience and 5+ years in engineering leadership. Strong hands-on experience with multiple programming languages and a solid understanding of software development best practices are essential.

Skills: software engineering, team leadership, technical direction, quality assurance, golang, rust, python, javascript, typescript, css, full stack development, sdlc best practices, cross-functional collaboration, mentorship, data engineering, user interface development, backend development

Summary: Candidates should have a degree in Computer Science or a related field, along with 3+ years of software development management experience. Hands-on experience with modern technologies and Agile processes is essential.

Skills: software development, agile methodologies, angular, java, aws, mentoring, technical leadership, incident response, container orchestration, code reviews, data-driven decisions, high-availability systems, collaboration, technical architecture, problem solving, communication

Summary: Candidates must have a minimum of 10 years of experience in software engineering, with at least 5 years in leadership roles. Comprehensive knowledge of information systems, cloud-native development, and P&C insurance operations is required.

Skills: software engineering, application development, quality assurance, project management, vendor management, cloud-native development, agile methodology, devops, api-first design, p&c insurance platforms, stakeholder management, strategic planning, team leadership, operational excellence, technology solutions, risk mitigation

Summary: Candidates should have predicted or achieved BBB at A-Level (or equivalent) by August 2026, with a preference for those with A-Level Software Systems Development, Computing, or Computer Science. A passion for technology and personal projects demonstrating interest are also important.

Skills: software engineering, cyber security, data, ai, coding, communication, collaboration, motivation, proactivity

Summary: Candidates must possess a minimum of five to seven years of Software Engineering experience, including hands-on development of large-scale Web-based applications using the latest Microsoft technologies, along with proven management skills for enterprise-level websites. Strong analytical, communication, collaboration, and project management skills are essential, as is knowledge of modern technologies like React and cloud infrastructure.

Skills: software engineering team management, recruitment and retention, mentorship and coaching, performance reviews, cross-discipline collaboration, technical leadership, architecture design, ci/cd processes, project planning and execution, agile processes, web-based applications development, microsoft technologies, react, cloud infrastructure, testing frameworks, problem-solving

Summary: The ideal candidate should have proven experience leading software development teams and delivering enterprise applications, with a strong background in Java, Python, and Agile practices. Excellent leadership, communication, and problem-solving skills are essential, along with the ability to drive results and foster a high-performance culture.

Skills: software development, agile methodologies, technical design, architecture decisions, java, python, spring, sql, web technologies, leadership, communication, problem-solving, ai technologies, team performance, vendor management, process management

Summary: Candidates must have a high school diploma and be pursuing a bachelor's or advanced degree in a relevant discipline. Experience with programming languages and core computer science concepts is preferred.

Skills: software development, programming languages, object-oriented design, algorithm design, data structures, problem-solving, complexity analysis, high-quality code, critical thinking, agile environment, mentorship, team collaboration, communication skills, technical innovation, research, learning

Summary: Candidates should have at least 6 years of experience as an individual contributor and 2 years managing engineering teams. A strong technical background and experience in remote management are essential.

Skills: leadership, team management, feedback, mentorship, remote management, technical support, process improvement, recruitment, team performance, innovation, ai strategies, agile methodologies, web development, mobile development, ruby on rails, aws

Summary: Candidates need a Bachelor's degree in a related field or equivalent experience, with 5+ years in software engineering supporting production systems and 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django and JavaScript/React, along with experience using Datadog for monitoring, is required.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, production code ownership, technical planning, team mentoring, work prioritization, vendor integration management, system monitoring, incident response, python, django, javascript, react

Summary: Candidates should have a proven track record in building consumer-facing mobile applications and experience in engineering management. A background in personalization or intelligent systems that enhance user-facing features is also required.

Skills: software engineering, machine learning, mobile applications, cloud infrastructure, data science, leadership, collaboration, experimentation, product development, technical design, communication, mentoring, project management, user experience, personalization, analytics

Summary: Candidates should have 5+ years of software engineering experience and 3+ years of leading software engineering teams. Active daily use of AI coding agents and a track record of delivering software that solves real customer problems are also required.

Skills: software engineering, technical leadership, people leadership, ai coding agents, microservices, event-driven architecture, rest apis, c#, .net, sql server, azure, cross-functional collaboration, mentorship, agile development, testability, observability, modularity

Summary: Candidates must have over 4 years of experience with DoD or IC remote sensing constellations, including GEOINT systems, and proficiency in Agile, software engineering, and project management principles. A current TS/SCI clearance is mandatory, along with a Bachelor's degree in a STEM field.

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

Summary: Candidates should have proven experience in a hands-on software development management role with a strong technical background in TypeScript and cloud-native systems. Experience with AWS, agile environments, and automated testing frameworks is essential.

Skills: software development management, backend development, mobile development, aws, typescript, cloud-native systems, terraform, agile environments, ci/cd pipelines, automated testing, sql databases, nosql databases, debugging, problem-solving, communication skills, interpersonal skills

Summary: The job requires experience in software development and a strong understanding of agile methodologies. Candidates should be able to write clean, testable, and performant code.

Skills: software development, agile methodologies, analytic solutions, performance optimization, clean code, testable code, automatic testing, data analytics, risk modeling, collaboration, problem solving, innovation, inclusivity, diversity, coaching, training

Summary: Candidates should have a minimum of 10 years of software engineering experience, with at least 5 years in a leadership role. Preferred qualifications include experience in machine learning and insurtech, along with a strong educational background in relevant fields.

Skills: software engineering, ai/ml, team management, project management, system design, process improvement, ci/cd, cloud computing, devsecops, machine learning, deep learning, nlp, generative ai, java, python, communication

Summary: Candidates should have a Master's degree in Computer Science or Software Engineering, with at least 6 years of software engineering experience, including 2 years in management. Expertise in large-scale distributed systems and a strong understanding of security and compliance in cloud environments are essential.

Skills: software engineering, engineering management, distributed systems, api development, cloud security, compliance, leadership, team building, decision making, communication, project management, innovation, collaboration, automation, customer requirements, metrics-driven development

Summary: Candidates need over 8 years in infrastructure/SRE/cloud engineering, with at least 3 years leading specialized teams, demonstrating deep proficiency in AWS and Infrastructure-as-Code tools like Terraform. Essential qualifications include operational grit in handling incidents, understanding of MLOps infrastructure needs, and expertise in systems scaling and observability.

Skills: sre, infrastructure, mlops, reliability, scalability, cost efficiency, cloud infrastructure, platform-as-a-product, slis/slos, incident response, mlops roadmap, cloud finops, infrastructure-as-code, disaster recovery, aws, terraform

Summary: Candidates should have strong knowledge of OIDC, hands-on experience with Okta and OAuth 2.0, and proficiency in Java and Spring Boot. Additionally, expertise in microservices architectures and containerization technologies is required.

Skills: oidc, okta, oauth 2.0, federated login, identity federation, java, spring boot, microservices, redis, kafka, rabbitmq, aws sns, aws sqs, docker, kubernetes, aws, azure

Summary: Candidates should be pursuing a Bachelor's in Computer Science or a related field, with prior internship experience preferred. A basic understanding of APIs and an interest in building large-scale business AI applications are also desired.

Skills: java development, object oriented design, spring boot, microservices architecture, version control systems, analytical skills, problem solving, communication skills, collaboration, learning, adaptability

Summary: Candidates should have over 10 years of software development experience, including 3 years in a director-level role managing managers. A strong background in web development and proven people management skills are essential.

Skills: software development, people management, coaching, team building, product orientation, technical guidance, collaboration, communication, web development, organizational leadership, recruiting, mentorship, adaptability, results driven, inclusivity, urgency

Summary: Candidates must have over 5 years of experience managing engineering teams, including 2 years managing other engineering managers, and possess expert technologist skills capable of influencing quality posture and defending architectural decisions. Strong communication, analytical skills, and an agile mindset are required to thrive in a fast-paced, hyper-growth environment.

Skills: technical leadership, people management, software architecture, scalability, stability, cost effectiveness, stakeholder management, operational excellence, data analysis, technology roadmap, talent development, recruiting, agile, scrum methodology, problem solving, influencing skills

Summary: Candidates must have 5+ years of experience managing engineering teams and possess strong technical expertise. Excellent communication skills and familiarity with Agile methodologies are also required.

Skills: leadership, technical expertise, software development, agile methodology, problem solving, communication, team management, architecture design, operational excellence, data analysis, mentoring, recruitment, collaboration, analytical skills, influencing, entrepreneurial mindset

Summary: Candidates should have significant expertise in real-world software engineering and experience explaining advanced concepts clearly. Experience teaching or mentoring software engineers is a bonus.

Skills: machine learning, llm internals, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring

Summary: Candidates should have experience explaining machine learning concepts and knowledge of LLM internals. Significant real-world expertise and teaching or mentoring experience are essential.

Skills: machine learning, llm internals, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring

Summary: Candidates should have experience explaining machine learning concepts and knowledge of LLM internals. Significant real-world experience and the ability to teach and mentor engineers are essential.

Skills: machine learning, llm internals, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring, teaching, clear explanations, real-world experience, communication skills, rapport building, enthusiasm, professionalism

Summary: Candidates should have significant expertise in software engineering and experience explaining complex concepts clearly. Familiarity with LLMs and related technologies is essential, along with a passion for mentoring others.

Skills: software engineering, machine learning, llm internals, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring, clear explanations, real-world experience, teaching experience, communication skills, problem solving, enthusiasm, rapport building

Summary: Candidates should possess deep technical expertise in Salesforce and MuleSoft. A servant leadership mindset is essential for driving platform consistency and strategic alignment.

Skills: salesforce, mulesoft, technical leadership, architecture, integration, delivery, collaboration, platform consistency, strategic alignment

Summary: The position requires deep technical expertise in Salesforce and MuleSoft. A focus on fostering collaboration and driving platform consistency is essential.

Skills: salesforce, mulesoft, technical leadership, architecture, integration, delivery, collaboration, platform consistency, strategic alignment

Summary: Candidates should possess deep technical expertise in Salesforce and MuleSoft. A servant leadership mindset is essential for fostering collaboration and driving platform consistency.

Skills: salesforce, mulesoft, technical leadership, architecture, integration, delivery, collaboration, platform consistency, strategic alignment

Summary: Candidates must have a minimum of ten years of experience in software engineering leadership, with at least five years in delivering SaaS solutions. They should also have experience managing cross-functional teams and a proven track record of delivering high-quality releases.

Skills: devsecops, saas, iaas, microservices, collaboration, team building, customer support, security, project management, technical leadership, budget management, data-driven culture, cloud-based infrastructure, operational slas, automation, compliance

Summary: Candidates must have a minimum of ten years leading software engineering teams, with at least five years delivering SaaS solutions, including managing cross-functional teams of managers, engineers, and architects delivering against operational SLAs. Demonstrated technical leadership in architecture, testing, and a proven track record of delivering high-quality releases on schedule are essential.

Skills: devsecops, cloud delivery engineering, saas, iaas, microservices, server-based applications, databases, stakeholder collaboration, team building, ci/cd pipelines, automation, platform services, sre, security services, budget management, data-driven culture

Summary: Candidates must have a Bachelor's degree in Engineering, Computer Science, or a related field with at least 5 years of systems development experience. Strong expertise in React/Redux and C# is required, along with experience in mentoring and aggregating data.

Skills: react, redux, javascript, typescript, c#, asp.net core, sql server, css, npm/node, webpack, msal, okta, build pipelines, cloud environments, azure app services, data aggregation

Summary: Software Engineering Intern focusing on TypeScript, React, and browser automation (Playwright). Contribute to an Electron desktop app, AI-powered features, and a React dashboard, with backend PostgreSQL and Prisma involvement.

Skills: typescript, react, tailwind, electron, playwright, postgresql, prisma, adonisjs, openai, pgvector, redis

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and proven experience in software development, particularly in the React and Next.js ecosystem. Experience in an engineering management role and familiarity with AWS, Agile practices, and high-volume applications is also required.

Skills: software development, react, next.js, engineering management, aws, agile, lean practices, kafka streaming, ci/cd pipelines, kubernetes, team leadership, mentoring, coding contributions, technical roadmap, collaboration, innovation

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and proven experience in software development, particularly in the React and Next.js ecosystem. Experience in an engineering management role and familiarity with AWS, Agile practices, and high-volume applications is also required.

Skills: software development, engineering management, aws, react, next.js, agile, lean practices, kafka streaming, ci/cd pipelines, kubernetes, team leadership, mentoring, coding, technical roadmap, ui/ux, high-volume applications

Summary: Candidates should have 5+ years of experience in business intelligence or analytic development, with expertise in Big Data technologies and cloud development. Proficiency in programming languages such as Python and experience with DevOps practices are also required.

Skills: machine learning, full stack development, big data, data analysis, cloud development, apache spark, python, devops, cicd, software development lifecycle, business intelligence, healthcare information, dashboard reporting, analytical reporting, automation, continuous improvement

Summary: Candidates should have 3+ years of experience in business intelligence or analytic development, with expertise in Big Data technologies and cloud development, particularly on AWS. Strong data analysis skills and experience with Apache Spark and Python are also required.

Skills: machine learning, full stack engineering, big data, data analysis, cloud development, apache spark, python, devops, ci/cd, software development lifecycle, business intelligence, dashboard reporting, healthcare domain knowledge, scripting languages, automation, collaboration

Summary: Candidates must have 5+ years of documented experience in a business intelligence or analytic development role on large-scale projects, demonstrating expertise in Big Data technologies and excellent data analysis skills. Proficiency in scripting languages like Python, experience with DevOps/CICD, and design/architecture expertise with AWS, Teradata, and BI tools are required.

Skills: full stack engineering, data & analytics engineering, software development, ci/cd, automation, cloud services, genai, big data, scalable application development, code quality, data quality monitoring, solution architecture, agile team collaboration, trade-off evaluation, pyspark, scala

Summary: Candidates need at least 3 years of documented experience in a business intelligence or analytic development role on large-scale projects, with expertise in BigData and related technologies, and excellent data analysis skills. Proficiency in scripting languages like Python, experience with distributed application development (Spark/PySpark/Scala), and familiarity with cloud development (AWS) are required.

Skills: full stack engineering, data & analytics engineering, software deployment, automation first mindset, ci/cd adoption, data integration, analytical insights, genai, big data, cloud services, web frameworks, scalable technology, loose coupling, data quality monitoring, solution architecture, devops

Summary: Candidates should have 12 years of experience in Software Engineering/Management, with at least 4 years in people management. Experience in B2B SaaS product development and a strong understanding of customer requirements is essential.

Skills: software engineering, management, b2b saas, product mindset, team building, java, react, python, sql, aws, quality mindset, scrum, automation, ai, customer requirements, technology roadmap

Summary: Candidates need a degree in computer science or equivalent, with a minimum of 5 years of experience in .Net C# and SQL Server development, and 3+ years working with consuming, designing, and extending REST APIs. At least 2 years of experience leading development teams and knowledge of cloud providers (AWS or Azure) are also required.

Skills: .net c# development, sql server, api design, rest, cloud providers (aws or azure), team leadership, agile software development, system integrations, etl applications, code refactoring, architectural vision, product quality, code review, data flow modeling, devops automation

Summary: Experience managing a team of software engineers and prior experience as a tech lead or Engineering Manager is required. A strong technical foundation as a software engineer is also necessary for meaningful engagement in architectural discussions.

Skills: people management, technical leadership, performance management, coaching, cross-functional collaboration, software engineering, problem solving, empathy, feedback, team building, trust, delivery execution, risk management, root cause analysis, circular economy, agile methodologies

Summary: Candidates should have a bachelor's degree with 12+ years of relevant experience, particularly in leading software engineering organizations. Deep knowledge of software architecture principles and AI development tools is essential.

Skills: software engineering, ai technologies, research, analytical skills, presentation skills, client engagement, market analysis, thought leadership, team leadership, saas platforms, data analysis, communication, strategic decision making, best practices, framework development, innovation

Summary: Candidates must have a proven track record managing technical teams, ideally with experience in Linux operating systems, language ecosystems, or security-focused environments, alongside a strong grasp of software security principles. Required expertise includes language ecosystems (Python, Go, Java, Javascript), build systems, dependency management, and experience with cloud-native technologies like Docker and Kubernetes.

Skills: software engineering leadership, open source libraries, security hardening, dependency management, build systems, vulnerability detection, sbom generation, provenance generation, cloud-native technologies, containerization, infrastructure as code, team mentorship, product strategy, compliance oversight, automation, cross-team collaboration

Summary: Candidates must have at least 6 years of experience in software engineering and 1 year of experience with cloud computing. A bachelor's degree is required, with a preference for a master's degree and additional experience in relevant technologies.

Skills: software engineering, full stack development, microservices, web development, javascript, html, css, typescript, java, cloud computing, agile practices, open source, digital experience, data management, infrastructure management, mentoring

Summary: Candidates should have over 10 years of experience managing diverse teams and delivering large technical programs. Expertise in large-scale data processing systems and a passion for leading technical teams is essential.

Skills: leadership, stakeholder management, data processing systems, data lake solutions, workflow orchestration, snowflake, spark, flink, kafka, kubernetes, aws, apache iceberg, mentorship, communication, technical strategy, project execution

Summary: Candidates should have over 10 years of experience managing diverse teams and delivering large technical programs. Expertise in large-scale data processing systems and a strong background in data infrastructure is required.

Skills: leadership, interpersonal skills, stakeholder management, data processing systems, data lake solutions, workflow orchestration, snowflake, spark, flink, kafka, kubernetes, aws, apache iceberg, mentorship, communication skills, open source

Summary: Candidates should be in their final year of a relevant degree and have hands-on experience in building software products. A strong foundation in JavaScript or TypeScript, along with basic knowledge of backend development, is required.

Skills: software engineering, full-stack development, javascript, typescript, frontend frameworks, backend development, apis, python, databases, data flows, ai, emerging technologies, product development, technical documentation, collaboration, communication

Summary: Candidates should be in their final year of a relevant degree and have hands-on experience in building software products. A strong foundation in JavaScript or TypeScript, along with basic knowledge of backend development, is required.

Skills: software engineering, full-stack development, javascript, typescript, frontend frameworks, backend development, apis, python, databases, data flows, ai, product development, technical documentation, collaboration, adaptability, communication

Summary: Candidates should be in their final year of a relevant degree and have hands-on experience in building software products. A strong foundation in JavaScript or TypeScript, along with basic knowledge of backend development, is required.

Skills: software engineering, full-stack development, javascript, typescript, frontend frameworks, backend development, apis, python, databases, data flows, technical documentation, ai, emerging technologies, product development, communication skills, multicultural team

Summary: A BS in Computer Engineering, Electrical Engineering, Computer Science, or a related field is required, along with strong programming skills in C++. Familiarity with Python and understanding of computer architecture fundamentals are also necessary.

Skills: c++, python, computer architecture, simulation, modeling, linux, debugging, algorithm development, collaborative problem solving, transaction-level modeling, distributed systems, high-performance computing, cloud computing, machine learning, event-driven simulation, numeric representations

Summary: Candidates should have a Bachelor's degree in a related field or equivalent experience, along with 5+ years in software delivery. Experience with compliance standards and remote team management is also required.

Skills: software development, agile methodologies, mentoring, communication, collaboration, organization, detail orientation, remote team management

Summary: Bachelor's degree in Computer Science or a suitable combination of education and experience is required. At least 6 years of experience in a high-growth environment with a proven track record in mobile engineering is necessary.

Skills: mobile engineering, ios development, android development, cross-platform technologies, leadership, team management, strategic vision, operational excellence, technical quality, user experience, recruitment, mentorship, collaboration, budget management, technology strategy, communication

Summary: Candidates must be current students or recent graduates in relevant fields such as Data Science or Information Technology. A working knowledge of Salesforce technologies and strong communication skills are essential.

Skills: salesforce apex, salesforce dx, salesforce sales cloud, salesforce experience cloud, salesforce revenue cloud, git version control, python, excel, word, powerpoint, technical requirements, documentation, communication skills, interpersonal skills, time management, customer service

Summary: Candidates should have a proven track record of supporting technical teams and managing them effectively. A background in coding and experience with machine learning teams is also required.

Skills: technical management, problem solving, team management, machine learning, roadmap creation, collaboration, technical design, impact measurement, organizational influence

Summary: Candidates should have over 5 years of software development experience, with specific expertise in iPaaS and external APIs. Experience in people management and technical leadership is also required, along with proficiency in NodeJS, Typescript, and SQL.

Skills: software development, ipaas, people management, technical leadership, nodejs, typescript, sql, mysql, mariadb, project delivery, coding standards, integrations, customer facing api, scrum, jira, attention to detail, quality assurance

Summary: Candidates should have a bachelor's degree in a related field and at least 10 years of software engineering experience, including 5 years in a management role. Proven experience in delivering enterprise SaaS products and strong technical skills in AWS and modern frameworks are essential.

Skills: software engineering, technical leadership, aws, microservices, frontend frameworks, backend frameworks, postgresql, agile, generative ai, team management, incident response, production health, cloud-native design, scalability, reliability, security

Summary: Candidates must have a bachelor's degree in a related field or equivalent experience, along with at least 10 years in software engineering and 5 years in a management role. Strong leadership, strategic thinking, and problem-solving skills are essential.

Skills: c#, python, oop, solid, design patterns, ai/ml integration, azure, docker, kubernetes, restful api, kafka, rdbms, nosql, angular, react, graphql

Summary: Candidates must have a bachelor's degree in a related field or equivalent experience, along with at least 10 years in software engineering and 5 years in a management role. Strong leadership, strategic thinking, and problem-solving skills are essential.

Skills: c#, python, docker, modern rdbms, asp.net, restful api design, kafka, event-driven design, modern web ui frameworks, kubernetes, nosql databases, cloud-native applications, software security principles, owasp guidelines

Summary: Candidates need at least 2 years of experience as an Engineering Manager or Technical Lead, with a strong technical background in building backend systems and experience running production systems with on-call rotations. A proven track record of hiring and developing engineers, along with strong collaboration and systems design understanding, is essential.

Skills: team leadership, mentoring, talent retention, project delivery, technical excellence, operational discipline, cross-functional collaboration, observability, reliability, monitoring, alerting, code reviews, architecture guidance, debugging, distributed systems, on-call support

Summary: Candidates should have 3+ years of engineering management experience and strong hands-on .NET development experience. Familiarity with cloud systems, containerization, and high-throughput services is also required.

Skills: software engineering, management, leadership, cloud computing, aws, docker, kubernetes, ci/cd, event-driven services, observability, production support, .net development, coaching, integration management, incident management, salesforce marketing cloud

Summary: Candidates should have 3+ years of engineering management experience and strong hands-on .NET development experience. Familiarity with cloud services, containerization, and high-throughput services is also required.

Skills: software engineering, management, technical leadership, hands-on development, cloud computing, aws, containerization, docker, kubernetes, ci/cd, event-driven services, observability, production support, messaging services, integration management, salesforce marketing cloud

Summary: Candidates should have over 3 years of engineering management experience and strong hands-on .NET development skills. Experience with cloud systems, containerization, and high-throughput services is also required.

Skills: engineering management, software development, cloud computing, containerization, orchestration, ci/cd, high-throughput services, event-driven services, observability, production support, salesforce marketing cloud

Summary: Candidates should have 5+ years of experience in building backend/fullstack applications and 2-5 years of experience managing teams of 5 or more engineers. Strong experience in scalable backend systems and ML Ops platforms is also required.

Skills: software engineering, team management, machine learning, data engineering, full-stack development, api development, search technologies, user experience, agile methodologies, problem solving, scalable systems, cross-functional collaboration, technical leadership, mentoring, process improvement, product strategy

Summary: Candidates should be pursuing a Bachelor's or Master's degree in Computer Science or a related field and have a solid understanding of programming concepts and data structures. Familiarity with technologies like React, Node, or Go, and basic understanding of RESTful APIs is also required.

Skills: programming concepts, data structures, react, node, go, restful apis, web services, version control, git, problem-solving, analytical skills, communication, collaboration, proactive attitude, eager to learn

Summary: Candidates must have a bachelor's degree in a related field and 10-15 years of software engineering experience, including 5 years in a leadership role. Proficiency in cloud-native solutions and strong coding skills in languages like Python or Java are required.

Skills: software engineering, architecture, cloud engineering, devsecops, data infrastructure, automation, security, resilience, mentorship, apis, microservices, ci/cd, infrastructure-as-code, mlops, python, java, c++

Summary: Candidates should have at least 2 years of experience leading engineering teams and 7 years in software development, preferably with JVM/Scala or React. Experience with microservices, distributed systems, and API design for enterprise use is essential.

Skills: engineering management, software development, jvm, scala, react, microservices, distributed systems, api design, technical leadership, team building, debugging, architectural reviews, b2b integrations, technical roadmaps, on-call management, technical communication

Summary: Candidates should have a proven track record of supporting technical teams and experience in infrastructure engineering. A BS or MS in Computer Science is preferred, or relevant work experience may be considered.

Skills: technical management, infrastructure engineering, problem solving, team management, coding skills, strategic influence, roadmap creation, collaboration, technical design, goal setting, stakeholder engagement, organizational impact, team growth, project management, cross-functional collaboration, execution

Summary: Candidates should have demonstrated experience managing technical teams and successfully leading impactful initiatives. A BS or MS in Computer Science or relevant work experience is required, along with the ability to mentor engineering managers and engineers.

Skills: leadership, mentorship, engineering management, machine learning, experimentation, data-driven decision making, technical program management, software engineering, statistical analysis, a/b testing, infrastructure development, team collaboration, problem solving, innovation, quality assurance, user engagement

Summary: Candidates should have professional experience in designing user and contextual signals for ad platforms and proficiency in programming languages like Java, Python, or C++. Experience with big data tools and distributed systems is also required.

Skills: software development, java, python, c++, distributed systems, big data, spark, ad tech, digital marketing, data privacy, machine learning, ctv, collaboration, communication, creativity, diversity

Summary: Candidates must have extensive real-world experience in software delivery and be able to navigate engineering pain points. They should also possess strong communication skills and the ability to lead initiatives without formal authority.

Skills: software engineering, systems thinking, ai tools, cross-team initiatives, communication, influencing, performance metrics, engineering workflows, problem solving, collaboration, accountability, transparency, growth mindset, resilience, decision making, technical leadership

Summary: Candidates should have at least 2 years of experience leading engineering teams and 7 years in software development, preferably with JVM/Scala or React. Experience with microservices, distributed systems, and API design for enterprise use is also required.

Skills: engineering management, software development, jvm, scala, react, microservices, distributed systems, api design, technical leadership, team building, debugging, technical roadmaps, b2b integrations, on-call management, technical communication, agile methodologies

Summary: Candidates should have at least 2 years of experience leading engineering teams and 7 years in software development, preferably with JVM/Scala or React. Experience with microservices, distributed systems, and robust API design is essential.

Skills: engineering management, software development, jvm, scala, react, microservices, distributed systems, api design, technical leadership, team building, mentoring, debugging, architectural reviews, b2b integrations, technical roadmaps, on-call management

Summary: Candidates should have proven experience in building and deploying Multi-Agent Frameworks, along with deep expertise in AI and machine learning. Strong leadership and communication skills are essential for mentoring and growing engineering teams.

Skills: ai, machine learning, backend engineering, multi-agent frameworks, llm integration, orchestration tools, evaluation frameworks, cross-functional collaboration, privacy compliance, search technologies, technical leadership, mentoring, innovation, collaboration, data protection, complex workflows

Summary: Candidates should be pursuing a degree in a relevant field such as Computer Science or Engineering and have a strong focus on problem-solving and continuous learning. Effective communication skills for both technical and non-technical audiences are also important.

Skills: software engineering, python, ruby on rails, react, typescript, postgresql, clickhouse, redis, kafka, flutter, react native, android, ios, terraform, aws, cloudflare

Summary: Candidates should have a minimum of 2 years of experience in software engineering or related fields and a bachelor's degree in a relevant discipline. Strong proficiency in programming languages and hands-on experience with production-quality code are essential.

Skills: software engineering, ai research, technical evaluation, code validation, prompt refinement, model benchmarking, debugging, testing, technical documentation, feedback, algorithms, programming languages, python, javascript, java, c++

Summary: Candidates should have 8+ years of software engineering experience or a PhD with 4 years of experience, including hands-on technical management. A Bachelor’s or Master’s in Computer Science or equivalent practical experience is required.

Skills: software engineering, machine learning, technical management, team leadership, recruiting, performance management, coaching, mentoring, continuous learning, technical strategies, cross-functional collaboration, product delivery, technical innovation, growth, improvement

Summary: Candidates should have a passion for education and personal growth, along with coding skills in languages like PHP, Python, Ruby, or Javascript. Strong communication skills and the ability to work in a team environment are also important.

Skills: software engineering, php, mysql, laravel, react, javascript, github, aws, automated testing, restful apis, linux, team collaboration, communication skills, relational database, ai techniques, coding

Summary: Candidates should be passionate about education and personal growth, with a desire to learn modern AI-driven software engineering processes. They should also have coding experience in languages such as PHP, Python, Ruby, or Javascript.

Skills: software engineering, php, mysql, laravel, react, javascript, github, aws, automated testing, restful apis, linux, ai, coding, teamwork, communication, database

Summary: Candidates should have a Bachelor's degree in a relevant field or equivalent experience, along with at least 5 years of experience in software delivery. Familiarity with compliance standards like PCI DSS and experience with remote teams are also required.

Skills: software development, agile methodologies, mentoring, communication, collaboration, organizational skills, detail orientation, team leadership, diversity and inclusion, technical operations, recruitment, career development, empathy, remote team management, success metrics, software quality