Top Software Engineer Jobs in St. Louis, MO

Develop, modernize, integrate, test, document, and sustain ColdFusion-based government applications. Translate business and security requirements into maintainable platform solutions, troubleshoot code, data, APIs, identity, and performance issues, and support architecture, release readiness, automation, documentation, and production operations. Collaborate with stakeholders, cybersecurity, QA, infrastructure, and operations teams while meeting federal security, accessibility, auditability, and compliance expectations.

Leads day-to-day engineering execution for a lean, senior team while remaining hands-on with production code, architecture, incident response, and AI-assisted development. Owns delivery, quality, reliability, security, cloud costs, automation, and technical standards across multi-tenant SaaS platforms on AWS and Azure with Kubernetes. Partners with Product, Design, Support, and the CTO to build AI features, improve engineering productivity, hire and develop talent, and maintain predictable delivery.

Lead development of production-grade Flutter and Dart mobile applications, including shared offline capabilities, local persistence, background synchronization, conflict resolution, data-age safeguards, and reliability testing. Provide technical leadership through code reviews, troubleshooting, mentoring, and collaboration while leveraging AI tools such as Claude and Claude Code. Ensure performance and compatibility across devices and operating systems and oversee delivery of scalable, maintainable mobile solutions.

Senior engineer responsible for designing, building, and operating scalable data ingestion, processing, storage, and member-facing membership application. Drive architecture decisions, mentor engineers, build data pipelines, APIs, and ensure reliability, observability, CI/CD, and documentation while partnering with product and analytics stakeholders.

Refine, stabilize, and enhance a Google Docs add-on including Apps Script refactoring, OAuth2 and REST API integration, retry and sync logic, UI improvements, end-to-end testing, and preparing the add-on for Google Workspace Marketplace publication and security review.

Lead the Data Streaming engineering sub-team responsible for reliable, scalable ingestion, normalization, and routing of cybersecurity telemetry. Manage and grow a 6–7 engineer team, establish SLOs and on-call processes, maintain schemas and data contracts, improve pipeline reliability and scalability, and collaborate with Security Research, Database Platform, and Asset Inventory teams. The role requires hands-on expertise with streaming architectures, cloud-native operations, data quality, and pipeline observability.

Lead the design, development, and implementation of resilient pricing tools using Python and cloud technologies. Improve automation, deployment reliability, testing, documentation, and technical standards. Coordinate complex projects, research new development practices, identify technical blockers, and mentor junior developers. Collaborate with stakeholders while developing expertise in insurance pricing and supporting applications built with technologies such as Streamlit, Flask, Docker, Kubernetes, and cloud compute.

Design, build, deploy, and operate production software across frontend, backend, data, cloud, and mobile platforms. Debug distributed systems, resolve incidents, improve observability, and create secure APIs and data models with auditability and traceability. Collaborate with QA, Clinical Operations, Clinical Development, Product, and IT to deliver validated releases while maintaining data integrity, security, reliability, scalability, and regulatory compliance.

Build and operate full stack, data-powered web applications using React, Next.js, Vercel, Snowflake, and SQL. Responsibilities include developing dashboards, ETL and reverse ETL pipelines, analytical data infrastructure, data visualizations, and AI-enabled user experiences. The role also involves integrating LLMs, supporting CX and marketing systems, and shipping production applications end to end.

Build and operate enterprise Amazon Connect contact centers and AI agents. Implement generative AI (Bedrock/Claude), serverless backends, CDK IaC, observability, testing, and integrations with CRMs and analytics. Own delivery from code to production, mentor engineers, and support customer-facing technical workstreams.