Top Software Engineer Jobs

Build and operate distributed systems powering Lambda’s GPU cloud, including APIs, control planes, schedulers, workflows, and operational tooling. Own systems through architecture, implementation, deployment, observability, on-call, incident response, and continuous improvement. Improve reliability, performance, security, and scalability while collaborating across infrastructure, networking, storage, security, and SRE teams. Senior engineers lead complex domain work; Staff engineers shape cross-team architecture and mentor others.

Design and build Lambda’s managed Kubernetes platform for large-scale AI workloads. Responsibilities include developing control-plane services, operators, controllers, cluster lifecycle automation, GPU-aware scheduling, inference infrastructure, autoscaling, internal deployment tools, observability, and production support. The role requires deep Kubernetes and distributed systems expertise, strong Go and Python skills, and collaboration across networking, storage, compute, and AI infrastructure teams.

Own Android accessibility across Slack, including Compose component fixes, TalkBack troubleshooting, automated accessibility testing infrastructure, VPAT compliance, regression testing, and cross-platform planning. Provide accessibility guidance to feature teams, mentor engineers, coordinate with QA vendors, and promote best practices through documentation, onboarding, and presentations.

Lead design and implementation of large-scale, highly available backend services for commerce and identity. Collaborate across distributed teams to define architecture patterns, drive technical frameworks, and improve performance and cost. Mentor engineers, manage cross-team projects, and promote engineering best practices, testing, and CI/CD.

Lead the design, development, testing, and optimization of large-scale data pipelines and cloud-native data platforms. Build Python and PySpark applications, manage ETL workflows, Snowflake environments, data lakes, and AWS services, and promote secure engineering, CI/CD, automated testing, and responsible AI-assisted development. Mentor engineers, participate in code reviews, and lead technical delivery initiatives.

Design and build Lambda’s managed Kubernetes platform for large-scale AI workloads. Responsibilities include developing control-plane services, operators, controllers, cluster lifecycle automation, GPU-aware scheduling, inference platform services, internal deployment tools, observability, and resilient distributed systems. The role involves collaboration across networking, storage, compute, and security teams, production troubleshooting, and participation in an on-call rotation.

Build and operate distributed systems powering Lambda’s GPU cloud, including APIs, control planes, schedulers, workflows, and operational tooling. Own systems through design, implementation, deployment, observability, on-call, incident response, and continuous improvement. Improve reliability, performance, security, scalability, and operability while collaborating across infrastructure, networking, storage, security, SRE, and product teams. Senior engineers lead complex team-level work; Staff engineers additionally shape cross-team architecture and mentorship.

Develop and maintain scientific computing applications, automated workflow frameworks, simulation pipelines, and engineering analysis tools for Air Force Research Laboratory research. Integrate and port simulation frameworks, connect CAD, finite element analysis, and physics-based codes, and support high-performance computing and lethality assessments. Prepare technical documentation, reports, and briefings while advising multidisciplinary technical teams.

Develop scalable web platform services, programming operations tools, content workflow experiences, and developer-facing capabilities. Responsibilities include software design, coding, testing, debugging, documentation, performance optimization, cloud technology evaluation, accessibility, SEO, code reviews, and Agile delivery. The role supports reliable web application infrastructure and requires completing project deliverables with limited supervision.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Develop and enhance Cadence’s Xcelium RTL/logic simulator and timing-constraint verification technology. Design and optimize graph algorithms for massive SDC constraint graphs, perform C/C++ performance tuning, reduce compilation time and memory usage, write specifications and unit tests, and collaborate with globally distributed engineering teams.

Build and own full-stack features for Oncoscape, a production platform supporting cancer research. Responsibilities include developing React and TypeScript interfaces, scalable AWS services, secure APIs, data models, processing pipelines, analytical tools, and cloud deployments. The role translates scientific requirements into software, contributes to architecture and product strategy, and collaborates with researchers, clinicians, and engineers on clinical and genomic data workflows.

Develop Linux-based services, provisioning automation, deployment tooling, industrial protocol integrations, and reliability features for edge computers and factory servers. Support containerized and virtual-machine applications, ML inference workloads, monitoring, logging, recovery, testing, debugging, and technical documentation. Collaborate with senior engineers while owning well-defined platform components.

Build and operate shared cloud infrastructure and backend services using Java, Redis, Docker, Terraform, and AWS. Design scalable, resilient systems; evaluate and roll out common frameworks; conduct code reviews; write tests; monitor and troubleshoot services; optimize performance; and mentor junior engineers. Collaborate with architects, QA, product, security, and operations teams while supporting high-scale, multi-tenant deployments.

Designs and builds scalable, resilient distributed systems and applications using .NET, C#, microservices, REST APIs, cloud platforms, containers, and DevOps practices. Responsibilities include architecture, coding, code reviews, reusable components, monitoring, continuous delivery, infrastructure as code, cross-functional collaboration, mentoring engineers, and improving engineering processes.

Design, build, and operate scalable backend services for a digital mortgage platform using Node.js, TypeScript, PostgreSQL, MongoDB, AWS, and Docker. Responsibilities include API and data architecture, cloud deployment, reliability and security, production troubleshooting, performance optimization, observability, and CI/CD collaboration. The role leads technical design and code reviews, mentors engineers, coordinates with global teams, and owns major engineering workstreams.

Lead development and operation of a scalable Kubernetes-based cloud-native platform. Shape the engineering roadmap, deliver enterprise platform capabilities, establish best practices, mentor engineers, and collaborate across Agile teams. Build highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, while applying expertise in Go, Python or Bash, networking, Linux, and CI/CD practices.

Develop and support high-volume, mission-critical web applications across the full software development lifecycle. Build with TypeScript, JavaScript, Next.js, and SQL; deploy and operate applications in Microsoft Azure; use AI-assisted development tools; troubleshoot complex technical issues; make architectural decisions; and mentor other engineers. The role requires multi-tier system development, database optimization, Agile collaboration, and proactive delivery of reliable, high-quality software.

Develop and deliver high-volume enterprise applications across the full software development lifecycle. Design, code, test, debug, optimize SQL solutions, troubleshoot complex issues, contribute to scalable architecture, collaborate with technical and business stakeholders, and mentor other developers. Work independently while participating in Agile development and production implementation.

Design, build, and operate large-scale observability services for monitoring, logging, alerting, tracing, metrics, and real-time data processing. Own distributed tracing, data collection, cloud-native infrastructure, AI workflow instrumentation, and AI-driven anomaly detection. Partner with product teams on SLOs and production readiness, evaluate emerging technologies, maintain data quality, and participate in on-call support.

Develop modular test, automation, hardware-interaction, and analysis software for spacecraft and launch vehicle components. Build factory automation, drivers, web interfaces, and firmware; analyze test data against acceptance criteria; troubleshoot software-hardware failures; and manage project milestones for reliable production test systems. The role works cross-functionally with hardware, manufacturing, and engineering teams and may require extended hours and weekends.

Leads and mentors software engineers while developing full-stack solutions across IoT, smart home, video analytics, hardware, and large-scale data processing. Owns projects from requirements and design through deployment, evaluates new technologies, collaborates cross-functionally, and balances evolving business needs with robust, scalable implementations.

Own and evolve enterprise AWS infrastructure, governance, security, identity, networking, and shared platforms. Build and operate full-stack services in TypeScript and Python, automate infrastructure and delivery, improve monitoring and reliability, manage incidents and on-call operations, and establish audit-ready controls. Partner across engineering and IT, improve production readiness, and mentor engineers while delivering secure, scalable, low-blast-radius systems.

Develop and sustain mission-critical software and systems for a U.S. Government customer. The role requires full-stack Java and Angular experience, collaboration with engineering teams, independent work, and strong communication. Candidates must hold an active or reinstatable TS/SCI with Polygraph clearance, be U.S. citizens, and have 14 or more years of software engineering experience plus a relevant bachelor’s degree or approved experience substitution.

Build, own, deploy, and operate backend services and APIs powering Mozilla products. Responsibilities include backend development, cloud infrastructure collaboration, monitoring and alerting, production support, incident response, releases, security and privacy reviews, API design, code reviews, and mentoring. The role requires end-to-end service ownership, on-call participation, and maintaining reliable production systems.