Top Software Engineer Jobs in Minneapolis, MN

Lead full software development lifecycle delivery for enterprise applications using .NET, React, Azure, SQL, microservices, APIs, serverless components, and infrastructure-as-code. Build AI-powered solutions, CI/CD automation, monitoring, and observability strategies while enforcing secure engineering standards. Collaborate with product and architecture teams, support production systems, conduct code reviews, and evaluate emerging cloud and AI technologies.

Develop, test, maintain, and deploy scalable .NET and C# applications, RESTful APIs, backend microservices, and AI-powered solutions. Work with Docker, Microsoft Azure, Azure SQL, relational databases, Git, and CI/CD processes. Troubleshoot production issues, participate in code reviews, and collaborate on technical decisions.

Design, develop, test, deploy, and support enterprise full-stack applications using Java and modern web technologies. Collaborate on architecture, security remediation, performance tuning, automated testing, Agile delivery, and release readiness. Use approved AI tools and emerging technologies to improve development workflows and build responsible AI-powered solutions. Provide technical leadership through code reviews, mentoring, stakeholder communication, and participation in Scrum ceremonies.

Develop and maintain full-stack applications using Angular and Java REST APIs. Build CI/CD pipelines with GitHub Actions, containerize applications with Docker, implement automated testing, and develop responsible AI-powered solutions. Collaborate in Agile teams, manage code with GitHub, and monitor applications using Azure, Splunk, and Dynatrace observability tools.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and evolve cloud-native platforms and Java/Golang microservices supporting healthcare businesses. Design REST and GraphQL integrations, responsive front-end experiences, CI/CD automation, testing, observability, and secure deployments. Collaborate with product, UX, and architecture teams, influence technical roadmaps, conduct code reviews, mentor engineers, and apply AI-assisted development practices.

Design, develop, and support scalable enterprise applications using .NET, Angular, Azure, and SQL. Build APIs, integrations, cloud solutions, and CI/CD pipelines while following engineering standards and security practices. Collaborate with stakeholders and cross-functional teams, participate in design and code reviews, support deployments and incident resolution, evaluate AI capabilities, document solutions, and provide technical guidance to team members.

Develop AI-powered healthcare applications and data assets using C#, .NET Core, Angular, SQL Server, and SSIS. Build backend and frontend services, data integrations, CI/CD pipelines, and database performance optimizations. Participate in Agile/Scrum delivery, evaluate emerging AI technologies, troubleshoot production issues, and support a culture of mentorship and continuous improvement.

Build and maintain secure full-stack applications using Java, Spring Boot, ReactJS or Angular, cloud platforms, Snowflake, and Python APIs. Manage deployments, CI/CD, upgrades, vulnerability patching, performance improvements, documentation, and code reviews. Develop AI-powered solutions using GitHub Copilot, Agentic AI, and Snowflake Cortex. Collaborate with distributed cross-functional teams, apply responsible AI practices, and mentor engineering teams.

Develop and test software across the full engineering lifecycle, including APIs, microservices, reusable frameworks, and Angular or React interfaces. Collaborate with architecture, business, IT, and cross-functional teams; participate in Agile/Scrum delivery; review code; improve development processes; troubleshoot production issues; and support cloud-based CI/CD deployments. The role also involves mentoring and leading peers and teams.

Design, develop, test, deploy, and maintain scalable full-stack applications using Node.js, React, JavaScript, AWS Lambda, and MySQL RDS. Build serverless microservices, cloud solutions, REST APIs, and AI-powered features. Drive continuous integration, automated testing, code quality, and technical innovation while collaborating with cross-functional teams. Mentor engineers and contribute to architecture and process improvements for pharmacy services platforms.

Leads architecture, development, and operationalization of secure, resilient multi-cloud infrastructure across AWS, Azure, and GCP. Builds Terraform-based infrastructure, backend microservices, CI/CD pipelines, DevSecOps controls, cloud governance frameworks, and AI-powered automation. Partners with security and compliance teams, evaluates emerging technologies, establishes engineering best practices, and mentors engineers through technical reviews and architecture discussions.

Designs, develops, tests, operates, and maintains production software. The role involves full-stack ownership, scalable architecture, code reviews, failure analysis, reliability engineering, security and compliance, DevOps, automated testing, defect resolution, and Agile collaboration. Candidates will use Java and Spring Boot, with preferred experience in Linux, SQL, Shell Scripting, GitLab, containers, cloud, CI/CD, service virtualization, and test data management.

Lead technical strategy and architecture for a client delivery data platform. Own platform priorities, integrations, reliability, engineering standards, proofs of concept, and system-level fixes. Partner with Product and senior stakeholders, mentor engineers, handle technical escalations, evaluate emerging tools and AI practices, and write code for critical work. The role requires expert SQL and Python, scalable data platform experience, cloud expertise, and hands-on LLM orchestration experience.

Develop and maintain automated E2E, integration, and API test suites using Playwright, C#, and TypeScript. Modernize QA practices for a mature SaaS application by balancing manual and automated testing, building test frameworks and utilities, improving CI/CD and deployment automation, and establishing sustainable testing strategies. Collaborate with engineers, quality professionals, product managers, and Agile teams while leveraging AI tools to expand coverage and accelerate test development.

Develop and maintain observability solutions for business insurance applications using Dynatrace and OpenTelemetry. Partner with application teams to improve reliability, instrumentation, alerting, dashboards, incident response, and mean-time-to-resolution. Build Infrastructure-as-Code monitoring workflows, resolve complex defects and incidents, translate business processes into observability requirements, and mentor less experienced engineers.

Develop and maintain end-to-end software features, APIs, data models, pipelines, validation frameworks, and secure applications. Optimize computation-intensive workloads, modernize legacy business logic, build CI/CD and automated testing, troubleshoot production issues, and contribute to architecture and engineering standards. Collaborate with business and analytical experts in Agile teams, leverage AI development tools, and mentor engineers while delivering scalable cloud-native solutions.

Design, develop, test, operate, and maintain full-stack software products. Build scalable, reliable, secure, and testable distributed systems using Java and related technologies. Participate in code reviews, failure analysis, operational improvements, compliance, security practices, and Agile DevOps processes while collaborating across teams and delivering incremental product improvements.

Software Engineering Interns develop and maintain full-stack web applications using React, JavaScript or TypeScript, Node.js, AWS Lambda, PostgreSQL, and SQL. They build user-facing features, REST APIs, tests, and database updates; troubleshoot issues; participate in code reviews; and collaborate with engineers using modern development practices and tools including GitHub, Jira, Confluence, and AI-assisted coding tools. The role is onsite in Chanhassen, Minnesota, during a 2027 summer internship.

Software Engineering Intern supporting data pipelines, Python applications, AWS Lambda functions, SQL queries, dashboards, and reporting solutions. The role contributes to data lake migration initiatives, workflow automation, testing, code reviews, and cloud-based engineering projects while collaborating with engineers, analysts, and business stakeholders. This is an onsite summer internship in Chanhassen, Minnesota.

Develop and maintain trading, risk, and operations applications using C#, .NET, and SQL. Support solution design, automated testing, code reviews, web UI development with TypeScript and React, Python scripting, and production issue investigation. The intern will work with systems including trade booking, FIX connectivity, market data, P&L services, risk reporting, gRPC services, and internal business applications while collaborating with senior engineers.

Design, develop, and deploy scalable software and AI-powered applications. Build intelligent features using machine learning and generative AI APIs, maintain cloud solutions, and automate testing and delivery through CI/CD pipelines. Participate in the full software development lifecycle, conduct code reviews, evaluate emerging technologies, mentor engineers, and collaborate with product and architecture teams to deliver secure, high-performance solutions.

Leads the end-to-end development of scalable front-end applications using React, JavaScript, and TypeScript, while developing Node.js, Java, and Spring Boot backend services. Responsibilities include UI architecture, performance optimization, API integration, testing, deployment, monitoring, documentation, Agile delivery, and mentoring engineers. The role also involves cloud deployment, CI/CD, DevOps collaboration, observability, and integrating AI/ML APIs.