Top Remote Software Engineer Jobs in Minneapolis–Saint Paul, MN

Translate prototypes into production-ready software; implement and improve trading strategies in high-performance languages; create tools for market simulations; collaborate with software and quantitative teams; document solutions and support ad hoc projects.

Build, validate, and deploy customer-facing software and platform work in a small, startup-like R&D unit. Partner with product leaders, move rapidly from prototype to production, make pragmatic technical decisions, and shape the R&D unit while shipping software used in live healthcare environments.

Debugs, analyzes, and sustains complex distributed software systems in defense and mission-critical environments. Responsibilities include root cause analysis, legacy-code refactoring, technical-debt remediation, performance optimization, automated testing, CI/CD pipeline development, multi-language build management, interoperability troubleshooting, and software integration and release support. The engineer collaborates with developers, architects, systems engineers, and government stakeholders while documenting improvements and maintaining delivery schedules.

Leads software design and development for Windows Core OS services and platforms. Partners with stakeholders to define requirements, identifies dependencies, creates design documents, and mentors engineers in producing maintainable code. Drives cross-product project and release planning, serves as a designated responsible individual, participates in on-call operations, and improves system availability, reliability, observability, efficiency, and performance.

Leads architecture, hands-on software development, deployment, and production issue resolution for strategic customer projects. Drives AI innovation, platform resiliency, security, observability, performance, and operational improvements. Partners with executives, engineering, product, and customer success teams to prioritize strategic programs, improve customer value, share technical best practices, and remove production blockers.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term technical strategy, leads streaming and batch system design, resolves complex scalability and reliability challenges, oversees production readiness and continuous improvement, and influences cross-team technical investments. Partners across Azure Networking, conducts design reviews, establishes reusable engineering patterns, improves observability and quality, and mentors engineers and technical leaders.

Build and lead development of real-time, cloud-native integration pipelines and Java/Spring Boot microservices on GCP. Design event-driven streaming with Pub/Sub, Kafka, and CDC tools; govern REST APIs and data schemas; connect enterprise databases, supply chain systems, and data lakehouses. Responsibilities include architecture, coding, deployment, code reviews, integration templates, testing, monitoring, and technical leadership.

Design and own backend infrastructure for a privacy-first AI memory platform. Responsibilities include multi-tier memory storage, secure multi-tenant isolation, real-time APIs, caching, LLM integrations, retrieval systems, synchronization, monitoring, deployment pipelines, and production reliability. The role requires close collaboration with ML engineering and product teams while owning architecture, infrastructure, testing, security, and operational troubleshooting.

Supports software engineering teams through coding, debugging, technical documentation, automated testing, and software component development. Translates user stories and requirements into tested implementations while participating in Agile design, planning, testing, and deployment activities. Collaborates with engineers, test engineers, business partners, and leaders in a remote, cross-functional environment.

Design, develop, test, implement, and deliver moderately complex software systems for enterprise business needs. Resolve system problems and incidents, design solutions aligned with business and operational requirements, and participate across the agile development lifecycle. Mentor apprentice and associate software engineers through coaching and training while applying strong application development, programming, communication, and independent judgment skills.

Leads architecture, development, and operation of Python-based AWS backend and IoT services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, databases, device communication, and infrastructure as code. Provides hands-on technical leadership through coding, design and code reviews, mentoring, cross-functional planning, security practices, testing, CI/CD, monitoring, incident response, and roadmap development.

Leads and grows an engineering team building and operating a scalable Kubernetes-based cloud-native platform. Partners with product and leadership on roadmap execution, drives technical excellence, reliability, security, and operational efficiency, and manages delivery timelines and resources in an Agile environment. The role also mentors engineers, supports career development, fosters inclusion, and oversees hiring and retention while ensuring high availability and strong software development practices.

Design and operate high-volume batch and streaming pipelines for cloud usage metering and billing. Build rating logic, data lakehouse systems, Airflow workflows, and production Python and Spark or Flink jobs. Develop reconciliation and data-quality checks with auditable billing trails, while contributing tested code, code reviews, and engineering standards. The role requires deep SQL, cloud, and large-scale data engineering experience.

Build and architect AI-powered software features that analyze contracts and fund documents, extract structured data, and automate legal workflows. Set technical direction, drive ambiguous initiatives from conception through production, improve engineering quality and tooling, and collaborate with product and design. Evaluate LLM systems, assess failure modes, and make strategic decisions about AI applications while mentoring and elevating other engineers.

Build and scale AI-powered web applications using Ruby on Rails and React. Develop full-stack features, prototypes, and LLM capabilities while independently owning projects from inception through delivery. Collaborate with stakeholders and cross-functional teams, iterate rapidly based on feedback, review AI-generated code, and make sound technical decisions with minimal guidance.