Top Software Engineer Jobs in Minneapolis–Saint Paul, MN

Technology internship providing hands-on experience applying data and technology solutions to business challenges. Interns own projects in areas such as data engineering, data science, visualization, software engineering, analytics, automation, infrastructure, or cybersecurity while collaborating with technology and cross-functional teams.

Build scalable frontend interfaces for distributed systems, including APIs, streaming and static data visualization, graph libraries, geospatial maps, charts, video playback, and interactive 2D/3D renderings. Develop performant React applications using modern web technologies such as WebGL, support real-time collaboration, optimize web performance, and contribute to an SDK for third-party application development.

Develop and support enterprise automations using UiPath, .NET, T-SQL, PowerShell, REST APIs, and AI-assisted workflows. Build integrations, stored procedures, scheduled jobs, and production automation while monitoring failures, resolving incidents, documenting runbooks, and supporting ERP upgrades and data migrations. Collaborate with accounting, HR, and operations stakeholders to identify automation opportunities, recommend appropriate technologies, and maintain development standards.

Design, develop, test, deploy, operate, and modernize Java/Spring Boot applications in mission-critical environments. Lead complex feature implementation, make technical decisions, collaborate with cross-functional teams, and apply generative AI across the software development lifecycle. Responsibilities include API and database integration, cloud-native development, CI/CD, automated testing, security, compliance, observability, and production support.

As a Senior Software Engineer, you'll design and implement cloud-native solutions using TypeScript, React, and NestJS while optimizing performance on Azure. Responsibilities include developing APIs, conducting code reviews, and ensuring software quality through testing, working collaboratively within an agile team.

Designs, develops, tests, documents, and maintains moderate to complex business applications. Analyzes requirements, creates system designs, identifies dependencies, estimates development effort, and supports integration across applications, databases, and technology platforms. Provides technical guidance, leads development walkthroughs, ensures adherence to software quality and security standards, and recommends improvements to planning, design, development, and testing processes.

Participate in a 10-week Digital & Technology internship leading business-critical projects. Design, build, and run technology solutions supporting General Mills’ business, collaborate with global teams, and gain exposure to varied technology roles including data engineering, platform engineering, machine learning, and data visualization.

Three-year rotational engineering leadership program for recent Computer Science or Computer Engineering graduates. Participants complete three 12-month assignments across areas such as software, embedded systems, controls, automation, connected products, product development, and sustaining engineering. The program includes mentorship, leadership development, cross-functional projects, and potential relocation across U.S. locations.

Design, develop, refine, and test software applications, dashboards, and tools for the ICE software platform. Build prototypes, collaborate with software engineers, architects, product managers, and subject matter experts, provide project updates, document findings, and present completed work. The role is performed under mentorship and involves software development within a medical diagnostics and instrument automation environment.

Develop and enhance the Apex high-performance, cloud-native reporting platform in a large C++ codebase. Design scalable data models and query optimization across distributed database technologies, own features end to end, debug and test complex systems, mentor engineers, guide architecture and refactoring decisions, and collaborate with QA in an Agile environment. Use AI coding assistants responsibly while supporting high availability, network observability, and cybersecurity solutions.