Top Software Engineer Jobs in Minneapolis, MN

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.

Designs, develops, tests, operates, and maintains mainframe software using COBOL, DB2, JCL, and VSAM. Responsibilities include full-stack ownership, architectural design, production-ready coding, code reviews, failure analysis, reliability improvements, compliance, security, and collaboration within an agile and DevOps environment. Requires solving technical problems, communicating with product stakeholders, and delivering scalable, reliable software that supports customer experience and banking technology transformation.

Design, develop, test, operate, and maintain Salesforce-based full-stack solutions. Write production-ready code, perform code reviews, ensure security and compliance, analyze failures, integrate systems via APIs, and collaborate across product teams following Agile and DevOps practices to improve reliability and performance.

Develop and maintain Java and Spring-based applications, Angular front ends, REST services, microservices, SQL integrations, and loyalty platform components. Participate in Agile planning, design, coding, documentation, testing, estimation, mentoring, and process improvement. Work with cloud platforms, message queues, Docker, Kubernetes, and build management tools while collaborating with product teams and third parties.

Develop the technical vision and roadmap for geography data services, including geocoding, routing, and distance calculations. Build resilient, scalable cloud-native platforms supporting logistics workflows, while leading and mentoring engineers. Design proof of concepts, research technologies, collaborate cross-functionally, and apply modern architectures such as microservices, CQRS, event-driven systems, and data streaming. The role also emphasizes AI-enabled automation, testing, continuous delivery, and modernization of legacy systems.

Leads software architecture and hands-on development for enterprise applications using Java, Angular, AWS, Azure, and AI technologies. Defines technical standards, APIs, design patterns, roadmaps, and documentation; guides globally distributed engineering teams; builds resilient multi-cloud solutions; conducts code reviews and proofs of concept; and partners with product and business leaders to deliver scalable, secure architectures.

Designs, develops, tests, deploys, and supports high-impact software applications. Leads code reviews, production issue resolution, automation, technical documentation, and process improvements. Collaborates with product and cross-functional teams, evaluates complex technical solutions, promotes engineering standards, and mentors developers. The role also supports project planning, quality software releases, and continuous improvement across the development organization.

Develop and maintain full-stack software using MERN and AWS. Responsibilities include analyzing requirements, designing and configuring systems, coding, testing, debugging, troubleshooting incidents, documenting solutions, monitoring system health, and supporting microservices, event streaming, CI/CD, and data-processing architectures. The engineer will independently resolve well-scoped technical problems, collaborate with teammates, and contribute to reliable incremental delivery.

Designs, develops, tests, operates, and maintains full-stack .NET software applications, APIs, and enterprise services. Responsibilities include writing production-ready code, creating scalable and reliable architectures, conducting code reviews, troubleshooting failures, improving operations, supporting production applications, and applying security, compliance, DevOps, and software reliability practices. The role requires collaboration with product, engineering, vendors, and business stakeholders.

Build and maintain C#/.NET back-end services, REST APIs, microservices, and event-driven systems for a cloud-based SaaS platform. Work with Azure, SQL and NoSQL databases, Docker, Kubernetes, and CI/CD pipelines. Use AI coding tools and spec-driven development while validating code quality, security, performance, and maintainability. Collaborate in an Agile team, write tests and technical specifications, troubleshoot production issues, and improve system reliability.

Develop and maintain cloud-native, serverless web applications and microservices. Build large-scale React SPAs, integrate AI/ML models and APIs, manage infrastructure with IaC (Terraform), ensure secure development, and support CI/CD pipelines and containerized deployments.

Design, build, test, document, and maintain scalable big-data solutions. Evaluate and deploy tools and frameworks, develop APIs and integrations, translate requirements into designs, collaborate across teams, participate in code reviews, and provide production support and documentation.

Lead a large engineering organization to design, pilot, and roll out reference architectures and AI-ready data platform capabilities. Build and operate cloud-native data pipelines, feature and vector stores, observability and governance standards, and mentor senior technical leaders while driving enterprise-wide architectural modernization.

Own the SmartThings Developer Center documentation site, including Docusaurus customization, MDX components, versioning, search, analytics, and publishing pipelines. Write API documentation, SDK guides, and integration tutorials for developers. Build and enhance Developer Center features, maintain documentation quality with linters and AI tools, manage CI/CD workflows, and collaborate with engineering, product, and design teams.

Designs, develops, validates, debugs, and supports Python-based embedded software for Linux audiovisual and unified communications products. Builds applications, diagnostic tools, automation scripts, hardware integrations, and automated tests. Collaborates with cross-functional engineering, manufacturing, quality, and product teams throughout the product lifecycle, including new development, sustaining engineering, security updates, manufacturing readiness, field support, and release management.

As a Sr. Software Engineer - UI/UX, you will lead UI features in Qt/QML, collaborate with UX designers, mentor engineers, and contribute to architecture decisions.

Leads installation, administration, lifecycle management, automation, monitoring, troubleshooting, and disaster recovery preparedness for z/OS ISV infrastructure software across large-scale mainframe environments. Uses SMP/E and z/OSMF scripts, manages vendor products and maintenance packages, supports incident investigations and on-call operations, documents technical procedures, and applies AI tools to improve workflows and operational analysis.

Leads the design, development, and operation of scalable enterprise software using C#, .NET, APIs, microservices, cloud-native architecture, and Angular. Owns technical design, architecture reviews, testing strategies, CI/CD, security, observability, and performance. Collaborates with product, architecture, UX, security, and operations teams while mentoring engineers and driving engineering excellence. The role modernizes applications, builds customer-facing platforms, and leverages AI-assisted development tools.

Develop and maintain web and mobile applications for Medtronic’s Digital Health Home team. Responsibilities include building iOS and cross-platform mobile apps, developing backend and frontend software with Microsoft technologies, troubleshooting performance issues, participating in code reviews, collaborating with product and design teams, and ensuring application security, quality, and responsiveness.

Develop and maintain C++ firmware for connected access-control and studio devices. Integrate hardware with backend systems, build fleet-management tools, maintain automated tests and documentation, and support hardware revisions and debugging. Collaborate with firmware, backend, QA, vendors, supply chain, warehouse, and provisioning teams. The role requires microcontroller firmware, multithreaded programming, automated testing, and strong hardware or connected-backend expertise.

Leads architecture, development, and operationalization of enterprise multi-cloud platforms across AWS, Azure, and GCP. Designs Terraform-based infrastructure, backend microservices, networking, governance, security controls, CI/CD pipelines, and AI-powered automation. Partners with security and compliance teams, establishes DevOps practices, evaluates emerging technologies, and develops scalable cloud capabilities.

Develop, test, debug, document, and implement software components, tools, and utilities for regulated medical device and digital health products. The role defines software design requirements, supports lifecycle activities, establishes engineering standards, and delivers reliable web and mobile applications. It is onsite in Fridley, Minnesota, Monday through Friday, with remote work available on Fridays.

Lead technical strategy and architecture for SmartThings Hub Platform systems spanning embedded Linux, secure boot, firmware delivery, device attestation, cloud connectivity, and IoT fleet operations. Own complex cross-functional initiatives, guide reliability and security decisions, define AI-assisted engineering practices, mentor engineers, and participate in observability, incident response, and on-call support.

Design, develop, verify, and maintain secure, scalable web and mobile applications supporting connected therapies and digital health solutions. Build backend microservices and frontend interfaces, translate requirements into technical implementations, collaborate with architects and cross-functional teams, and develop software verification strategies and test cases. Work across the full software development lifecycle in a regulated medical device environment.

Design, build, and deploy production-grade legal AI solutions by translating legal user needs into robust software. Collaborate with AI engineers, apply prompt/LLM evaluation, use DevOps and Infrastructure-as-Code, practice TDD, mentor junior engineers, lead agile projects, and deliver end-to-end solutions for law firms and legal departments.