Top Remote Software Engineer Jobs in Minneapolis, MN

Lead full‑stack development and architecture for Spark’s broker platform. Deliver customer‑facing features, partner with product/design, mentor engineers, resolve technical debt, and set engineering standards while using AI developer tools.

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

As a Senior Software Engineer, you'll develop and build tools for creative projects while leading feature development and collaborating with teammates.

Design, build, and operate backend systems for prediction markets, including order management, trade matching, settlement, and market resolution. Architect distributed, low-latency systems with strict financial correctness, lead multi-quarter technical projects, mentor engineers, and collaborate with Product, Compliance, and Risk to meet regulatory requirements.

Design, build, and operate the GraphQL API platform that routes high-volume traffic. Deliver end-to-end projects, improve reliability and performance, own SLOs and incident response, mentor engineers, and collaborate with product teams to evolve platform APIs and tooling.

Responsible for leading a team of engineers, supporting product development, identifying technical issues, and ensuring high-quality code delivery in backend systems at scale.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Senior Software Engineer to design and deliver Golang-based microservices, mentor a small pod, estimate and implement features, produce unit and end-to-end tests, collaborate on design and code reviews, improve SDLC, and apply SRE observability practices while working with cloud-scale data stores such as Snowflake, DynamoDB, and Cassandra.

Serve as the senior technical engineer on a delivery team, writing production code, shaping architecture, mentoring engineers, diagnosing complex issues, and owning software quality and reliability. Build TypeScript and JavaScript applications using Node.js, Express, React, PostgreSQL, REST APIs, testing, and observability. Modernize legacy systems, manage integrations and data synchronization, and use AI tools and automation to improve engineering workflows and delivery.

Build and lead full-stack development for the Polaris platform using React, TypeScript, Django, Python, and PostgreSQL. Own features from architecture through deployment and production support, design secure APIs and integrations, improve performance and observability, maintain automated testing, mentor engineers, review code, and influence technical direction across squads.

Build and operate scalable backend systems for Athena, including customer onboarding, entitlement logic, data ingestion, validation, deduplication, and agentic workflows. Develop in Go on GCP, use Terraform and GCP-native tooling, maintain observability and operational reliability, participate in on-call and incident response, and lead subsystem development across multiple engineers.

Lead design and development of scalable, cloud-native AI healthcare payment integrity platforms. Provide technical leadership, own production code and releases, design data/retrieval architectures, ensure observability, security, and compliance, and collaborate with ML, product, and architecture teams to deliver performant SaaS solutions.

Develop and test complex software applications in global team environments, with training in Java and full-stack development. Responsibilities include applying software engineering principles, troubleshooting and debugging, working with databases, following the SDLC, and practicing test-driven development. The role includes 4–8 weeks of training followed by a 12–24-month client placement with ongoing support.

Leads a software development team through the full product lifecycle, including user research, product strategy, roadmap planning, application development, testing, code reviews, documentation, team performance management, budgeting, partnerships, and user support. The role also manages Agile processes, reports metrics, develops funding proposals, and participates in conferences and periodic travel.

Owns complex, cross-system software solutions from architecture through production and support. Designs and deploys secure AI and agentic applications, integrates disparate systems and APIs, establishes engineering standards, and partners with business stakeholders. Works hands-on across the full stack while shaping architecture, testing, CI/CD, documentation, security, privacy, and governance practices for a growing internal engineering function.

Leads the strategic direction of backend and full-stack engineering, architects scalable distributed systems and microservices, and drives modernization, reliability, security, and performance initiatives. Designs APIs, data architectures, pipelines, infrastructure, and observability practices; delivers customer-facing service improvements; establishes engineering standards; and mentors engineers. Collaborates across product and technical teams to make architecture and business trade-offs and lead large-scale initiatives from vision through production.

Build scalable Kubernetes-based Azure Arc platform capabilities for hybrid cloud, datacenter, and edge environments. Develop and operate KubeVirt and KVM virtualization platforms, create distributed systems and RESTful services, and contribute to design, coding, estimation, monitoring, reliability, observability, and on-call operations. Collaborate with Microsoft partner teams and the open-source community to deliver cloud-native infrastructure at scale.

Design and build scalable distributed backend systems and core services in Golang. Develop reliable, high-performance systems using PostgreSQL and Redis across microservices, networking layers, and cloud platforms. Prototype and productionize platform capabilities, collaborate on strategic technical initiatives, and influence engineering standards. The role focuses on AI infrastructure, distributed database provisioning, workflow orchestration, internal tooling, and developer experience.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Develop open-source Web3 and Web2 technologies for the Canton Network, solving complex distributed systems and security challenges. Own major software components, contribute to cloud deployments and operations, collaborate across distributed engineering teams, mentor engineers, and improve systems and processes. The role requires strong polyglot programming skills, preferably in Scala or Haskell, plus experience with Kubernetes, Pulumi, Helm, and Grafana.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Build and evolve AWS platform infrastructure, Terraform and Pulumi automation, internal developer tooling, TypeScript libraries, CI/CD pipelines, and ephemeral environments. Improve reliability through SLOs, error budgets, observability, autoscaling, and incident response while addressing performance challenges across Aurora PostgreSQL and distributed services. Partner with product engineers, document complex systems, and raise engineering standards.

Own backend-heavy product and platform engineering from design through production. Build and scale distributed systems supporting large-scale mortgage transactions, design reliable infrastructure for regulated workflows, contribute to architecture and engineering standards, and collaborate with product, infrastructure, and platform teams. Use AI coding tools while maintaining rigorous human review and correctness.