Top Software Engineer Jobs in Minneapolis–Saint Paul, MN

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 a high-performance, low-latency Rust backend and core AI platform for an AI-native trading experience. Implement streaming responses, tool orchestration, caching, secure APIs (auth, rate limits, auditing, tracing), and safe trading action infrastructure (previews, confirmations, idempotency, audit logs). Partner with product and frontend to enable AI-native UX and translate business domain requirements into secure, resilient platform primitives.

Lead architecture and technical direction for an AI-first SaaS product (Growth Studio). Define scalable services, APIs, data flows, and AI-enabled workflows; guide integrations, run architecture/code reviews and POCs; mentor engineers; produce technical documentation; and partner with product, UX, QA, and ops to deliver reliable, secure, and maintainable platform capabilities for GovCon customers.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Hands-on senior full-stack engineer building and supporting user-facing features, infrastructure, and AI-powered workflows (LLM integration, RAG, agents). Drive architecture, dev experience, CI/CD, and partner with product and program teams to deliver a scalable education platform.

Leads multiple software engineering teams and oversees the design, development, implementation, and testing of technical products. Provides advanced technical direction, promotes strong coding and architecture practices, removes organizational obstacles, and partners with product and engineering leaders on strategy, agile delivery, transformation, and business value. Cultivates engineering talent and excellence while balancing hands-on technical leadership with executive-level execution.

Lead the Customer Files Orchestration engineering team and own its distributed service end to end, including file upload, storage, extraction, embedding, indexing, APIs, queuing, reliability, and operations. Hire, coach, and develop engineers; establish team processes, on-call, SLOs, and incident practices; set technical direction and roadmap; and partner with product, platform, storage, document understanding, and indexing teams to scale a reliable, API-first service.

As a Senior Software Engineer, Full Stack, you will build backend services and APIs for a document analysis platform, focusing on server-side architecture and data processing, while also contributing to frontend features as needed.

Lead strategy, architecture, development, integration, and full lifecycle implementation of Conga CPQ, Turbo Price, Digital Commerce, and PROS Pricing solutions on Salesforce. Establish engineering standards, conduct code reviews, mentor developers, evaluate technologies, resolve complex issues, and ensure scalable, stable systems. Collaborate with architects, technical leads, cross-functional teams, and third parties while managing estimates, dependencies, risks, Agile delivery, and AI-enabled Agentforce capabilities.

Develop and support scalable software for the Navisphere Carrier platform, including responsive React front-end experiences and object-oriented back-end applications. Translate requirements into designs, write and review code, create automated tests, improve performance and reliability, resolve production issues, document features, apply secure programming practices, and mentor engineers. Collaborate with product and engineering teams while contributing to agile development, continuous improvement, and modern AI-assisted engineering practices.