Top Software Engineer Jobs in St. Louis, MO

Lead design and implementation of scalable APIs and agent communication layers for an AI-agent driven advertising marketplace. Build high-throughput backend systems, integrate agent frameworks and adtech partners, drive architecture for authentication and protocols, mentor engineers, and prototype agent communication patterns while collaborating with product and design.

Build and own end-to-end, production-grade full‑stack features across backend, frontend, data pipelines, and infrastructure. Collaborate with stakeholders to translate business problems into shipped software, drive cross-team initiatives, and improve tooling and code quality. Use AI coding tools daily to accelerate development and maintain reliability for customer-facing products.

Lead end-to-end design, development, and quality of enterprise cloud solutions. Estimate costs, define quality criteria, implement complex systems, manage engineering processes, risks, and dependencies, and mentor teams. Serve as technical lead across large, cross-functional projects to deliver measurable, user-centric healthcare technology solutions.

Lead architecture and implement core backend services and data models that manage account state, eligibility, and entitlements at scale. Collaborate with product, design, Payments/Wallet, and identity teams to ensure correctness, reliability, and extensibility. Drive cross-team architecture decisions, mentor engineers, run design reviews, and proactively identify and mitigate scalability, reliability, and data-integrity risks.

Lead technical strategy and execution for build, test, release, and deployment systems. Drive initiatives to improve developer productivity, deployment safety, and platform reliability. Coordinate cross-team projects and migrations, contribute high-impact code, coach engineers, and lead incident response and resilience improvements for shared engineering systems.

Lead frontend technical direction for the Trellis design system: design and build a production component library, define accessibility and theming models, create tooling and migration pipelines (codemods, refactoring automation), leverage AI coding agents, mentor senior engineers, and partner with PM/UX to drive frontend architecture and adoption across product teams.

Design, build, and operate managed compute primitives for Temporal Cloud: autoscaling, multi-tenant safety, multi-cloud integrations, secure cross-account execution, observability (SLOs, tracing/metrics), and ship end-to-end APIs with strong operational ownership and mentorship.

Design, implement, and optimize Elasticsearch core storage and query engine components for observability workloads. Drive architectural improvements, resolve performance bottlenecks in indexing and serialization, optimize data layouts for object storage, lead cross-organizational initiatives, mentor engineers, triage community issues, and write idiomatic modern Java in a distributed team.

Drive architecture and technical vision for Elasticsearch core storage and query engine. Lead performance and storage-efficiency improvements, design indexing/serialization/data layouts, mentor engineers, coordinate cross-organizational initiatives, triage community issues, and write idiomatic modern Java for logs and metrics workloads.

Build and maintain the GG App across Windows, macOS, and iOS including installers, background services, auto-update systems, enterprise deployment paths, health reporting, AWS backend, and documentation. Lead architecture decisions, mentor engineers, participate in on-call support, and champion AI adoption and automation across engineering.

Lead and manage an API engineering team owning core services for Fundrise investor applications. Set technical direction, coach engineers, drive architecture, ensure production quality, security, monitoring, and coordinate cross-team delivery.

Lead design and delivery of cloud and AI production systems, partner with stakeholders to translate needs into architecture, ensure security and quality, mentor engineers, and drive customer adoption and scalable reusable solutions across engagements.

Lead and implement backend and developer-experience initiatives across Clojure and Go systems. Define architecture, build and operate distributed services, event pipelines, databases and APIs, improve observability and reliability, mentor senior engineers, and drive cross-team delivery from ambiguity to measurable outcomes while participating in on-call rotation.

Design, build, and operate high-performance, distributed .NET and TypeScript/React applications and cloud APIs. Implement microservices on AWS, automated testing, GitHub Actions CI/CD, observability with OpenTelemetry, and diagnose production issues to ensure scalable, reliable systems.

Own and improve Plane's automated test suite for web and desktop clients: design frameworks, cover hard-to-test scenarios (concurrency, offline/recovery, agent-driven nondeterminism), keep tests fast and reliable, run suites in CI, test cloud and self-hosted environments, and triage failures across teams and community PRs.

The Senior Platform Engineer will enhance internal tooling, optimize CI/CD pipelines, and ensure AWS infrastructure reliability and security while facilitating fast software development and deployment.

Join the engineering team as an entry-level developer to build small features, fix bugs, write tests, participate in code reviews, follow a mentored development plan, contribute documentation, and gradually own larger work as skills grow.

Build and maintain platform systems that provision, secure, and observe isolated agent execution environments. Design reusable primitives for queues, jobs, locks, and service-bus mechanics. Extend Pulumi-based IaC, work with containers, Linux internals, storage, permissions, logging, and runtime debugging. Ship reliable, maintainable infrastructure-driven application code and collaborate in a small cross-functional team.

Lead design and delivery of scalable, reliable software using C#/.NET, SQL Server, React, and Azure. Own complex initiatives from design through operations, mentor engineers, improve CI/CD, observability, and apply DDD/TDD/VSA practices. Use modern APIs, microservices or modular monoliths, and AI-assisted tooling to improve delivery.

Design, build, and maintain scalable backend services and APIs; deliver product features end-to-end; maintain integrations; diagnose and resolve performance and reliability issues; improve engineering practices and architecture; support large-scale data ingestion and unified data access layers.

Senior backend engineer building secure, scalable microservice infrastructure. Translate product requirements into technical designs, implement high-availability services, design APIs and schemas, embed security across app/API/infrastructure layers, build observability (metrics, alerts, tracing), collaborate with product/design, and participate in hiring while working remotely.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Design, build, and maintain user-facing and foundational backend services; improve system reliability and automation; collaborate with stakeholders; own domains; mentor engineers; integrate and direct AI agents across development lifecycle.

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.