Top Software Engineer Jobs in St. Louis, MO

Lead architecture, development, and long-term direction of Twilios Android Voice and Video SDKs. Own SDK roadmap, maintain WebRTC/C++ layers, improve CI/CD and build pipelines, enhance test coverage and reference apps, triage customer issues, and collaborate cross-platform while mentoring engineers and documenting best practices.

Build and maintain full-stack features across Ruby on Rails, React, and Flutter. Own work from architecture through production deployment, translate ambiguous user needs into pragmatic solutions, make architectural decisions, improve reliability and performance, address technical debt, resolve production issues, mentor teammates, and help establish engineering standards in a remote-first startup environment.

Build and maintain full-stack features across Ruby on Rails, React, and Flutter. Own work from architecture through production deployment, translate user needs into pragmatic solutions, make architectural decisions, improve reliability and performance, address technical debt, resolve production issues, mentor teammates, and help establish engineering standards in a remote-first startup.

Develop, test, deploy, and maintain software by collaborating with cross-functional teams. Write clean code, create verification and QA plans, debug and upgrade existing systems, integrate RESTful APIs, use version control, and document functionality. Evaluate user feedback and support deployments.

Work on frontend, backend, full-stack, or data/platform engineering to design, build, and operate high-scale systems and AI-enabled user experiences. Responsibilities include building distributed backends, data pipelines, performant UIs, integrating AI features, owning projects end-to-end, and collaborating cross-functionally to deliver production-quality software.

Build and maintain full-stack features across Ruby on Rails, React, and Flutter. Own architecture, development, deployment, reliability, and performance of critical systems. Translate user needs into pragmatic solutions, address technical debt, mentor teammates, contribute to engineering standards, and resolve production issues. The role requires strong backend expertise, database knowledge, security awareness, startup adaptability, and product-minded ownership.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Pair with engineers to embed agentic practices, own systems end-to-end, participate in AI-augmented reviews, and judge agent use versus human intervention.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Own systems end-to-end, pair with engineers to transfer agentic practices, perform AI-augmented code reviews, and judge when to trust or intervene with agent outputs.

Deliver production features and AI-powered modernizations using agentic development. Build and operate multi-agent workflows, pair with engineers to transfer agentic practices, validate agent output, maintain software quality, meet sprint commitments, reduce backlog, and produce scalable, well-documented code.

Design, build, and own operator services that provision, repair, and manage bare-metal GPU servers. Implement secure, extensible code across firmware, imaging, DPU initialization, and network configuration. Operate and monitor GPU fleets at scale, serve on-call rotations to resolve incidents, and apply AI tools across the SDLC while driving automation, telemetry, and reliability improvements.

Build and improve Fleet and Streams UI in Kibana using TypeScript, React, and Node.js. Own end-to-end features, lead architecture and design discussions, enforce coding standards and testing, conduct code reviews, and collaborate asynchronously with designers and product managers to deliver intuitive, scalable user interfaces for log and agent management.

Build and scale backend systems for a high-traffic donor CRM and payments platform. Own performant SQL and realtime querying, optimize payment flows, implement AI agents, and collaborate across product and design to ship resilient, production-grade features at scale.

Develop distributed, production-grade microservice systems and scalable data-processing infrastructure on Linux. Lead service mesh, contract-first API, gRPC, and Protocol Buffers initiatives; design fault-tolerant architectures and observability systems; operate containerized distributed platforms; and mentor junior and mid-level engineers. The role also emphasizes AI-assisted development, technical communication, and documentation, with preferred experience in industrial automation, monorepos, real-time processing, edge computing, and infrastructure as code.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Design, build, and operate scalable, highly concurrent backend services in Go. Architect distributed, fault-tolerant systems, optimize performance and reliability, define APIs and service boundaries, improve observability and operational readiness, and collaborate cross-functionally to support mission-critical autonomous deployments.

Design, build, and maintain automated migration workflows to onboard dental practices. Implement C#, .NET, and PowerShell scripts, manage ETL processes and SQL data transformations, troubleshoot live routines, leverage AI tools to speed development, and produce technical documentation to ensure secure, reliable migrations.

Architect, implement, and optimize live and on-demand streaming pipelines in Wowza. Design scalable transcoding and packaging workflows, integrate accelerators, debug performance issues, support cross-functional projects, and serve as a streaming domain expert.

Design and deliver distributed storage systems for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, and innovations in scalability, performance, security, and efficiency. Collaborate with AI researchers and cloud infrastructure engineers, mentor engineers, and guide technical strategy for high-availability, durable, high-performance storage supporting training and inference.

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.

Own and advance Chainguard’s internal Developer Platform, including monorepo CI/CD, shared build infrastructure, and Agentic AI tooling. Improve developer experience, build reliability, change throughput, observability, and secure software delivery. Design scalable platform architecture, consolidate build systems, establish standardized delivery blueprints, automate developer toil, partner with engineering teams, and mentor engineers while contributing to technical direction and DORA-aligned outcomes.

Develop, modify, and execute software test plans; analyze test results; document findings; recommend corrective actions; and collaborate with software, hardware, firmware, product marketing, and engineering teams to deliver features through general availability. The role also contributes to system design and establishes quality practices throughout the product lifecycle.

Lead the migration of Vanta’s resource data platform from MongoDB to schema-aware PostgreSQL while maintaining API compatibility and data integrity. Design high-throughput Kafka and S3 ingestion pipelines, eventual-consistency strategies, query infrastructure, tenant isolation, and reliable distributed systems. Set architectural direction across storage, caching, and streaming technologies; mentor engineers; drive cross-team technical roadmaps; and improve reliability, observability, and operational excellence.

Develop, test, and maintain web-based geospatial intelligence applications using Java and/or Python. Integrate relational and non-relational data stores, support GIS-enabled features, participate in code reviews and Agile sprints, apply secure coding practices, and assist with troubleshooting, performance tuning, and documentation.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Design, build, and operate shared cloud infrastructure across AWS, Kubernetes, Terraform, Databricks, and Cloudflare. Lead SRE and DevOps initiatives involving reliability, observability, CI/CD, incident response, disaster recovery, cost optimization, and developer self-service. Partner with application and data engineering teams to improve workload operations, deployment safety, and infrastructure scalability. Participate in on-call rotations and contribute to technical standards, architecture, documentation, and sustainable 24/7 operations.