Top Software Engineer Jobs in St. Louis, MO

The Senior Svelte Software Engineer will develop high-quality, scalable Svelte web components, collaborate on design systems, and ensure component reliability.

The Senior Software Engineer will lead teams to build secure, high-scale cloud applications, ensuring system reliability and delivering software solutions.

As an SDK Software Engineer, you will develop and maintain AI SDKs, collaborate with teams, and contribute to open-source projects.

Build and maintain data integration interfaces and ingestion pipelines between EHR systems and the Bayesian platform. Collaborate with client technical teams, implement automated integration tests, deploy and support go-lives, troubleshoot data correctness end-to-end, and develop tooling and automation (including LLM-driven) to scale integrations.

Leads architecture, design, and delivery of large-scale full-stack digital platforms and distributed systems. Builds secure, cloud-native front-end and backend solutions using modern web frameworks, APIs, microservices, event-driven systems, and databases. Integrates AI and generative AI capabilities, establishes engineering standards, ensures scalability and compliance, advises technical leadership, and mentors engineers across teams in a regulated healthcare environment.

Designs and maintains CI/CD pipelines, Docker build environments, automated infrastructure, package creation workflows, and secure artifact delivery systems. Responsibilities include provisioning scalable build infrastructure, generating SBOMs, vulnerability scanning, license compliance, monitoring build performance, automating testing, modernizing legacy workflows, and securing third-party dependency supply chains across cloud and on-premises environments.

Develop scalable backend services, APIs, geoprocessing workflows, integration services, and data pipelines supporting ArcGIS Enterprise and mission-critical geospatial applications. Build automation and connectors, extend containerized platforms, support cloud and on-premises deployments, and improve distributed-system reliability through testing, monitoring, observability, and performance optimization. Collaborate with GIS, platform, and DevOps teams to deliver secure production solutions.

Build full-stack integrations and observability tooling for Attentive's event-driven marketing platform. Design React/TypeScript frontends and backend services, optimize performance and scalability, improve code quality with testing and reviews, collaborate cross-functionally, and reduce technical debt while contributing to technical decisions.

Design, build, test, and deploy production software for an agentic chatbot platform across intake, orchestration, retrieval, answer generation, caching, and integrations. Collaborate with product and technical teams, provide code and merge-request review, mentor junior engineers, and contribute to design, performance, security, and delivery.

As a Senior Backend Software Engineer at Archy, you will lead major product updates, ensuring system stability and scalability, while collaborating with cross-functional teams to enhance dental practice management solutions.

Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.

As a Senior Software Engineer, you'll design, develop, and maintain full-stack applications, utilizing TypeScript and modern frameworks while collaborating cross-functionally to enhance user experience and performance.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Design, build, and optimize Java-based data pipelines and integrations from SQL/NoSQL and cloud sources. Create BI dashboards and automated reports, design storage for structured/unstructured data, document processes, and follow production deployment best practices to deliver actionable analytics.

Design and build cloud-native ETL/ELT pipelines and microservices, modernize on-prem systems to distributed services, implement authentication/authorization and data governance, ensure data quality and observability, drive architecture and CI/CD best practices, mentor engineers, and collaborate with stakeholders across a US Navy-focused defense program.

Design, implement, and operate large-scale, low-latency cloud data processing systems on OCI. Contribute across the software lifecycle, optimize data pipelines, ensure high availability and disaster recovery, and collaborate on design, deployment, monitoring, and production support.

Develop, test, and maintain software components; participate in requirements analysis, design, architecture, integration, and project activities; diagnose and fix bugs; collaborate with architects, designers, and product managers; build scalable REST APIs and work with databases, search technologies, and modern front-end frameworks.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.

Design and develop scalable applications, collaborate across teams, troubleshoot issues, and utilize modern development practices in cloud environments. Requires extensive software engineering experience, particularly in Java and cloud technologies.

Lead development of Windows desktop applications, define best practices, ensure accessibility, collaborate on features, and maintain quality across releases.

Lead VDI/System Architect responsible for deploying and maintaining Azure Virtual Desktop (AVD) VDI solutions, patching and monitoring AVD infrastructure, automating deployments with PowerShell, managing AVD images and host pools, supporting Windows ZTI, documenting processes, mentoring colleagues, and coordinating risk tracking and remediation.

Design and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.