Top Software Engineer Jobs in Minneapolis–Saint Paul, MN

Principal Software Engineer leading architecture, development, and technical strategy for complex software platforms. The role requires designing scalable and secure systems, guiding engineering standards, mentoring engineers, resolving complex technical issues, and partnering with product, laboratory, and bioinformatics teams. Responsibilities include software architecture, React and .NET development, database optimization, REST APIs, distributed systems, DevOps, regulatory compliance, and long-term technology roadmaps supporting clinical and genomic workflows.

Develop and customize Salesforce solutions using Apex, Visualforce, Lightning, Aura, SOQL, JavaScript, and triggers. Configure Salesforce objects, workflows, reports, dashboards, security, and administration across Sales, Service, and Community Cloud. Build integrations using REST, SOAP, WSDL, and Salesforce APIs; manage data migration, testing, troubleshooting, and deployments. Collaborate with U.S.-based business and IT stakeholders while supporting production systems.

Lead and grow engineering teams building blockchain and Web3 products. Drive technical strategy, architecture, delivery, quality, hiring, mentoring, and engineering processes to ensure reliable product delivery and team scaling.

Build and ship full-stack product features across HR-facing and employee health insurance platforms. Partner directly with stakeholders, own product decisions, integrate LLM-driven agents and experiences, maintain code quality, improve observability, and help establish the technical foundation using modern AI development tools.

Lead end-to-end development of scalable web applications using Node.js, React, MongoDB, and Google Cloud. Build analytics, identity resolution, personalization, integrations, and advanced visualizations using AI-assisted, spec-driven workflows. Develop LLM integrations, configure AI agents, maintain MCP servers, automate testing and CI/CD, and support observability. Serve as a Feature Lead by guiding architecture, technical specifications, documentation, and cross-functional communication.

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Develop and enhance cross-platform applications using Java, Python, or Node.js; build APIs; work with cloud and container orchestration platforms; query databases; conduct testing and debugging; review code; define technical specifications; support SDLC transitions; evaluate vendor products; and maintain IT controls and audit compliance.

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.

Lead and grow an AI-first software development team focused on clinic activation and onboarding. The manager will remain hands-on through architecture reviews, pairing, code shipping, and technical direction. They will partner with product, design, and data to run weekly releases, instrumentation, and experiments, while shaping AI-driven onboarding and responsible AI adoption. The role also requires coaching developers, owning activation outcomes, and partnering with adjacent AI and product teams.