Top Software Engineer Jobs in Minneapolis–Saint Paul, MN

Lead enterprise Microsoft platform strategy and architecture across security, Power Platform, Copilot, Fabric, collaboration, and endpoint management. Define reference architectures, governance, standards, and roadmaps; run assessments and proofs-of-concept; guide adoption and secure implementations; mentor teams and advise senior leaders.

Designs and develops custom enterprise applications and integrations supporting manufacturing, distribution, and corporate operations. Builds C#/.NET back-end services and React/Next.js/TypeScript front ends, integrates NetSuite and other enterprise systems, and architects scalable, secure solutions. Responsibilities include testing, code reviews, production support, root-cause analysis, CI/CD, security practices, and stakeholder collaboration. The role also requires learning ERP and manufacturing processes and contributing to Agile delivery.

Lead ServiceNow platform engineering across ITOM, CMDB, Discovery, Service Mapping, integrations, automation, and custom development. Build JavaScript solutions, REST integrations, IntegrationHub workflows, and MID Server architectures. Govern platform security, data integrity, upgrades, and technical health while mentoring developers, reviewing code, documenting designs, and contributing to architecture and strategic planning.

Supports software engineering projects involving new product development, database migration, DevOps, testing, embedded-device communication, product calibration, bug resolution, data processing, and process improvement. The intern collaborates with software, firmware, electrical, systems, and operations teams while gaining experience in manufacturing and production environments.

Develop and modernize microservices-based, real-time air traffic control software on a hybrid cloud platform. Build REST APIs and event-driven integrations, integrate relational and NoSQL databases, optimize distributed services, troubleshoot complex systems, conduct code reviews, document designs, and participate in SAFe/Agile delivery. The role also involves legacy modernization, API versioning, performance engineering, mentoring, and adoption of AI-assisted development practices. Public Trust eligibility and U.S. citizenship are required.

Design, build, test, deploy, and maintain features for internal content workflow and distribution systems. Collaborate with product managers, technical project managers, and engineers to plan work, estimate effort, review code, troubleshoot production issues, and participate in on-call support. Use AI tools to improve development efficiency while contributing to team communication, code quality, and shared ownership.

Administer and optimize Stardog knowledge graph environments across development, test, and production. Responsibilities include platform installation, configuration, monitoring, upgrades, security, performance tuning, backup and disaster recovery, SPARQL optimization, semantic modeling, healthcare ontology support, data integrations, automation, cloud-native deployments, Linux administration, and collaboration with data, platform engineering, architecture, and governance teams.

Leads backend development for scalable .NET applications, APIs, integrations, messaging systems, and databases supporting transportation and logistics operations. Designs Azure-based solutions, owns work items through production, applies security and data protection practices, and collaborates with product, frontend, and integration teams. Provides technical leadership through architecture guidance, code reviews, mentoring, and design decisions focused on reliable messaging, clean architecture, vertical slices, and maintainable .NET and Azure SQL solutions.

Develop and maintain automated calibration systems using LabVIEW, integrating NI hardware and third-party instrumentation. Build automated test procedures, user interfaces, data management solutions, and measurement workflows. Collaborate with metrology teams to align procedures with calibration standards and uncertainty requirements. Troubleshoot software, hardware, and procedure issues; document systems; train users; and communicate technical solutions to customers and stakeholders.

Design and build scalable full-stack applications across React/TypeScript front ends and cloud-native back ends. Develop microservices, databases, caching, authentication, AI model integrations, real-time inference, testing, CI/CD, and observability. Collaborate with UX, Product, AI/ML, and MLOps teams on client solutions. Lead code reviews, knowledge-sharing sessions, pair programming, and technical mentorship while helping establish engineering best practices.