Top Remote Software Engineer Jobs in Minneapolis, MN

Design, modify, and program software for local, networked, cloud, or internet applications. Write code, test and debug, document installation and maintenance procedures, gather user requirements, implement enhancements, and perform related duties.

Design, build, test, deploy, and debug scalable backend API services and data pipelines. Troubleshoot live systems, write clear tested code, review designs, and contribute to infrastructure supporting large-scale web data ingestion.

Design, build, and maintain scalable Ruby on Rails web applications and APIs. Implement integrations, automated tests, performance monitoring, and participate in on‑call production support. Collaborate with product, project managers, and analysts to deliver features end-to-end and improve systems that support behavioral health services.

Own and evolve a custom Chromium fork: design architecture, manage upstream merges, triage crashes, build CI/CD and QA for a large C++ codebase, and optimize browser engine performance across platforms.

Design, develop, and maintain cloud-native applications using Node.js and React.js on AWS. Implement infrastructure-as-code (Terraform/CDK), build CI/CD pipelines, perform Linux troubleshooting, ensure secure-by-design patterns, and collaborate with architects, UI/UX, and DevOps teams to deploy and operate scalable AWS services.

Design, develop, and maintain Marketplace/App Store solutions for OneStream XF. Write reusable, efficient code; integrate data storage; optimize performance; fix bugs; maintain code quality and automation; provide ongoing support and enhancements; collaborate with engineering teams using Agile practices.

Build and ship native iOS features for an AI-enabled neobank using Swift. Implement mobile flows for insurance, payments, claims and financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and add on-device AI where it improves user experience.

Design, build, and ship native Android features in Kotlin for BJAK's AI Neobank app. Integrate backend APIs, improve performance, reduce crashes, collaborate with product/design, use analytics to iterate, and add on-device AI where it improves UX.

Designs, codes, tests, and documents .NET applications; follows SDLC and Agile/Scrum practices; supports Tier 3 incidents; works on system integration and CI/CD (Jenkins, GitHub); collaborates with product owners and vendors; participates in production releases and mentors junior developers.

The Senior Software Engineer will lead the development of payment systems, oversee key subsystems, mentor engineers, and ensure high-quality code and architectural standards while collaborating with cross-functional teams.

This role involves leading web platform initiatives, mentoring senior engineers, architecting web applications, and implementing technical strategies for improved performance.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

The Software Engineer will develop high-quality responsive UIs for web/mobile, conduct user research, optimize applications, troubleshoot issues, and conduct code reviews.

Designs, develops, and deploys AI-driven, cloud-native applications on Azure. Builds RAG knowledge systems, AI agents, secure APIs, and orchestrated workflows using C#, .NET, Azure services, Docker, and CI/CD. Collaborates with stakeholders, ensures observability and security, supports production incidents, and provides documentation and knowledge transfer.

The Software Engineer will develop a modern data platform, manage architecture, write reusable code, and ensure system integrations. Responsibilities include collaborating with teams, documenting processes, and enhancing applications.

As a Software Engineer New Grad, you'll develop features for mining operations using TypeScript and AI technologies, contributing to real-time data systems and computer vision applications.

Map and analyze Epic system tables and data to the Premier spec, develop data transformations and scripts, build SQL queries, stored procedures, and indexes, document mappings, act as SME with vendors/clients, and report project status via tools like JIRA.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

The role involves developing tools for enterprises to manage Hightouch deployments, focusing on access control, change management, and data warehouse performance.

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.