Top Software Engineer Jobs

Develop and maintain end-to-end full-stack software solutions in an agile environment. Design, modify, test, deploy, debug, and monitor applications across UNIX and Linux systems. Build interfaces with third-party products, enhance existing code, resolve complex workflow problems, and collaborate cross-functionally on architecture and system improvements. The role also involves supporting APIs, DevOps practices, automated testing, and software solutions for potentially classified environments.

Develop, integrate, deploy, and maintain robust software applications for federal programs. Responsibilities include providing status estimates, supporting DevSecOps and agile development, working with cloud, containerized, front-end, and back-end systems, automating testing and CI/CD, and troubleshooting Linux-based environments. The role requires an active Secret clearance and expertise in Python, Go, Bash, JavaScript, Kubernetes, virtualization, and command and control systems.

Design, develop, test, and maintain C++ and C# desktop applications using WPF for semiconductor equipment. Architect multithreaded software, integrate applications with hardware and automation systems, optimize performance and reliability, troubleshoot complex integration issues, participate in code reviews, document designs and tests, and contribute to software architecture and technology roadmaps.

Designs, deploys, tests, and supports enterprise GIS applications and geospatial data workflows. Develops software with multiple programming languages, manages ArcGIS Enterprise permissions, configures OGC web services, and integrates container platforms. Supports AI/ML systems, QA/QC, vulnerability remediation, STIG compliance, technical documentation, and RMF security controls. Collaborates in an agile DevSecOps team while supporting COTS geospatial tools and distributed systems.

Develop algorithms and robust software for synthetic aperture radar, electro-optical, low-observable, and remote-sensing systems. Translate prototypes into scalable applications, collaborate with radar and research scientists, and participate in the full software development lifecycle, including requirements, design, implementation, testing, deployment, documentation, and maintenance. Troubleshoot technical issues, improve image quality, and work onsite while supporting classified government missions.

Develop algorithms and robust software for synthetic aperture radar, electro-optical, low-observable, and remote-sensing technologies. Convert prototypes into scalable applications, collaborate with radar and research experts, and participate across the full software development lifecycle, including design, implementation, testing, deployment, documentation, and maintenance. Troubleshoot technical issues, improve image quality, and work onsite with team members in an Agile development environment.

Develop algorithms and robust software for synthetic aperture radar, electro-optical, low-observable, and remote-sensing technologies. Responsibilities include translating prototypes into production applications, collaborating with radar and research experts, writing tested code, participating across the software lifecycle, troubleshooting issues, and learning remote-sensing techniques. The role is onsite in Ypsilanti, MI; Westminster, CO; or Chantilly, VA, and requires an active TS/SCI clearance.

Develop algorithms and robust software for synthetic aperture radar, electro-optical, and remote sensing systems. Responsibilities include translating prototypes into production applications, collaborating with radar and research experts, writing tested code, participating across the software development lifecycle, troubleshooting issues, and improving image quality. The role requires onsite work and an active TS/SCI clearance.

Develop and maintain APIs and software applications across the full SDLC. Responsibilities include software architecture, clean and automated coding, code reviews, debugging, testing, deployment, documentation, system monitoring, and collaboration with internal teams and vendors. The role requires extensive Python, AWS, Docker, microservices, and DevOps experience, with independent ownership of development activities in a remote environment.

Software Engineers at Citadel develop software solutions for trading platforms, optimizing performance and functionality, and support trading activities.

Design, build, and operate secure, scalable Java microservices for a high-traffic consumer platform. Develop production LLM features using RAG, agentic workflows, and tool-use patterns. Lead design discussions and code reviews, improve quality and testing, partner with product, security, and platform teams, and resolve performance and scalability issues. Deploy and operate services on AWS using Docker and Kubernetes while applying event-driven architecture, CI/CD, infrastructure as code, and automated testing.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Build foundational lakehouse infrastructure for exabyte-scale AI data environments. Responsibilities include metadata and transaction systems, table maintenance, schema and partition evolution, snapshot isolation, compaction, clustering, file-layout optimization, object-store performance, columnar-format optimization, and query performance across major lakehouse engines. The role also involves debugging distributed systems, implementing compression and data-efficiency algorithms, and contributing to open-source or research efforts.

Leads integration engineering for a large-scale SAP transformation, designing, building, testing, deploying, and supporting integrations across SAP and non-SAP platforms. Uses SAP Integration Suite, BTP, MuleSoft, ETL tools, APIs, orchestration, Kafka, and event-driven patterns. Establishes integration standards for governance, security, observability, error handling, and deployment. Partners with system integrators and architecture teams, conducts design and code reviews, resolves issues, supports DevOps and modernization, and mentors engineers while remaining hands-on.

Build and own large-scale backend and full-stack systems supporting AI agents, data integrations, sync engines, and construction financial products. Design major subsystems, make architecture and build-versus-buy decisions, debug complex production issues, improve scalability and performance, and mentor engineers. Work across cloud infrastructure, distributed systems, legacy on-premise integrations, caching, data consistency, and AI-powered workflows while collaborating directly with founders and customers.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Design, develop, and deploy resilient, low-latency microservices and event-driven solutions for Zscaler’s cloud security control plane. Own services from API tiers through backend systems, modernize platforms using API-first architecture, maintain coding quality through reviews and TDD/BDD, and collaborate with Product, DevOps, and architecture teams. Use Docker, Kubernetes, cloud platforms, distributed data patterns, databases, and AI-powered engineering tools to build scalable systems.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Own technical strategy and architecture for agent infrastructure, tax computation, data pipelines, evaluation systems, and filing workflows. Design and ship highly available, correctness-critical systems; lead infrastructure investments; make build-versus-buy decisions; create technical roadmaps; advise founders and engineering leadership; and raise engineering quality through designs, code, reviews, and technical direction without direct authority.

Own a major product surface, write and review production code, make long-term architecture and build-versus-buy decisions, and maintain high correctness standards. Collaborate directly with founders on roadmap, improve evaluation systems, and optionally lead a small engineering pod through code reviews, one-on-ones, and technical mentorship. Work involves ambiguous problem definition, end-to-end system ownership, and potentially LLM-powered platforms, cloud infrastructure, compliance-aware design, and internal engineering tools.

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.