Top Software Engineer Jobs in St. Louis, MO

The Principal Software Engineer in Test I evaluates software performance, conducts testing, optimizes efficiency, collaborates with teams, and monitors systems post-deployment.

Develop and maintain PX4 autopilot firmware for UAVs, integrating sensors and payloads, and managing testing environments. Collaborate on flight operations and system integration.

As an Embedded Software Engineer, you will design and implement software for unmanned aircraft systems, debug issues, collaborate with engineering teams, and maintain high software quality standards.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

As a Senior Software Engineer, you'll build and maintain high-performance, fault-tolerant infrastructure for GraphQL runtime, mentoring teammates and engaging with users to enhance the platform.

The Senior Software Engineer is responsible for developing, testing, and maintaining SkySlope software. This role requires collaboration, innovation, and continuous learning with a focus on quality and delivery of software projects.

The Staff Software Engineer will design and build scalable cloud services, lead technical direction across teams, resolve complex issues, and mentor engineers while ensuring alignment with product strategies.

The Senior Software Development Engineer will develop applications using modern programming languages, provide leadership and mentoring, ensure software quality, and lead software improvement initiatives.

As a Senior Software Engineer, you will lead full stack projects, design scalable systems, mentor engineers, and ensure high-quality code delivery while driving team alignment and managing processes.

The staff software engineer will lead technical design, develop AWS microservices and automation solutions, and mentor team members.

Lead technical vision and architecture for Dockers Developer Tools: build a self-service internal platform, CI/CD and build systems, integrate AI/LLM agents, set SDLC tenets, establish standards for observability, security, reliability, and productize internal tooling into customer offerings.

As a Software Engineer, you will design and maintain software solutions, mentor junior engineers, optimize system performance, and ensure coding standards. You will engage in the entire product lifecycle and keep up with industry best practices.

The Infrastructure Software Engineer will design backend services, drive reliability, manage observability tools, and enhance deployment processes in a collaborative setting.

The Power Systems Software Engineer will develop high-fidelity power flow models, validate them against customer data, and enhance the architecture for solver performance in grid simulations.

Develop and design web applications, working within an agile team to continuously improve features and deliver high-quality software while collaborating with project teams.

The Software Developer will create and test software for client applications, collaborate with teams, and maintain documentation. Responsibilities include debugging, architectural design, and providing technical consultancy.

Lead cloud FinOps initiatives to increase cost transparency and optimize resource utilization across teams. Mentor engineers on cost best practices, implement cost-saving measures, troubleshoot complex infrastructure issues, develop automation workflows, and influence cost-effective architectural decisions with cross-functional partners.

Design, develop, and maintain scalable, secure backend services and APIs for a healthcare caregiver platform. Drive cloud-native modernization (microservices, serverless), ensure compliance (HIPAA, OWASP), troubleshoot production issues, optimize performance, mentor junior engineers, and collaborate with product and architecture teams to deliver reliable, high-performing solutions.

Own and build full‑stack, growth-focused product experiences across the funnel (acquisition, activation, retention, monetization). Ship experiments, measure outcomes with analytics, iterate, and establish reusable infrastructure while collaborating with product, design, and data teams. Drive technical execution and lead end-to-end growth initiatives in a remote, product-led SaaS environment.

Lead design and implementation of scalable backend solutions, collaborate on requirements and specs, troubleshoot complex technical issues, conduct and lead code reviews, ensure rigorous automated testing, leverage AI tools to improve workflows, and support high-volume transactional processing.

Lead design, develop, and maintain scalable full-stack web applications. Mentor engineers, perform code reviews, troubleshoot production incidents, optimize performance, ensure API-first design, support cloud-native deployments (Kubernetes), and participate in on-call rotations.

Provide expert software engineering to improve and optimize codebases used for AI training: bug fixes, feature development, refactoring, performance tuning, architecture recommendations, documentation, and cross-functional collaboration to support scalable AI training workflows.

Lead a pod as technical owner of core, scalable production systems: define architecture, improve reliability and processes, lead planning/releases, mentor engineers, and coordinate cross-functional delivery.

Design, build, and scale backend services and product features with focus on scalability, reliability, and performance. Contribute to system architecture, write maintainable code, improve observability and performance, and partner with Product and Design to deliver features. Drive projects end-to-end, participate in sprint planning, and mentor engineering best practices.

Lead full-stack growth engineering efforts to optimize top-of-funnel and intake workflows. Ship reliable, observable, and scalable features; connect technical investments to product and business metrics; build tooling and automation; integrate external partners; leverage data, A/B testing, and AI to reduce friction and improve conversions while ensuring privacy, compliance, and high-quality engineering practices.