Top Remote Software Engineer Jobs in St. Louis, MO

Lead design, development, and maintenance of scalable, cloud-native web applications. Own end-to-end product features, mentor engineers, troubleshoot production incidents, improve performance, implement APIs, and support on-call rotations.

3-month contract Frontend Engineer to build client-facing UIs and integrations for cybersecurity use cases. Collaborate with product, design, and engineering to deliver secure, performant, scalable features, maintain component libraries and automated tests. Remote (GMT+8) role focused on TypeScript and modern web tooling.

Design, build, and lead IBM Sterling-based integrations (EDI, APIs, event-driven) connecting ERP and customer systems. Architect EDI platforms, develop BPML/BPML2, mapping, communications, and troubleshoot high-volume translations and secure transport. Guide onboarding, automation, migration, and operational tuning.

Own and operate subscriber data management (HLR/HSS/UDR/UDM) across 2G–5G. Design provisioning workflows, implement MAP/Diameter/HTTP2 interfaces, monitor KPIs, handle incidents, perform maintenance and protocol traces, lead deployments/upgrades, support MVNO onboarding, automate provisioning tasks, and participate in 24/7 on-call rotations to ensure high availability and data integrity.

Build and deliver end-to-end features across backend APIs (NestJS/TypeScript) and frontend interfaces (React/TypeScript), integrate third-party services, own production services (on-call, monitoring, incident response with Datadog), contribute to architecture, and mentor other engineers. Work across web and React Native mobile apps, and help scale integrations and event-driven systems.

Maintain and enhance Zendesk instances and integrations, implement Zendesk AI features, administer configurations and business rules, develop documentation, troubleshoot issues, optimize performance, provide technical guidance, and build reports and dashboards with Zendesk Explore.

Lead the Interventions engineering pillar owning technical strategy and execution for early diagnosis, longitudinal care, and treatment. Scale data and ML infrastructure, improve clinical data accuracy, manage ML/LLM features, drive AI-assisted SDLC, and partner cross-functionally with Product, Data Science, and Clinical Operations to meet clinical performance goals.

Participate in full SDLC building and integrating software for DoD customers. Develop C++/Python systems, curate synthetic geospatial raster data, apply TDD, operate in DevSecOps pipelines, and use containerization and CI/CD for deployment and testing.

Own product problems end-to-end: gather requirements, build full‑stack features using AI, verify production quality, monitor and support services, and iterate to improve outcomes.

The VP of Enterprise Systems leads the enterprise application landscape, aligning technology with business priorities to enable growth and operational excellence.