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

Own and extend an Elixir and Phoenix backend powering a building configurator, pricing engine, structural calculations, and internal tools. Implement numerically complex business logic, background processing, database functionality, third-party integrations, authentication, testing, CI/CD, code reviews, and releases. Work independently while communicating decisions and progress clearly with the backend lead and front-end developer.

Leads design and development of complex commercial software for Documents and Customs services. Translates business requirements into technical architectures, builds scalable and secure applications, improves testing and CI/CD practices, troubleshoots production issues, and evaluates AI-assisted development tools. The role also mentors engineers, leads code reviews, drives engineering process improvements, collaborates across teams, and communicates technical strategies, tradeoffs, and recommendations to stakeholders and leadership.

Build and own Dia’s enterprise administration products, including the Admin Console, entitlement and provisioning APIs, identity and policy configuration, usage metering, commerce integrations, and Atlassian Admin Hub integration. Partner with platform and client engineers to deliver enterprise features across web and native clients, establish technical direction, and shape the enterprise roadmap in a high-ambiguity startup environment.

Leads the design, development, and operationalization of scalable enterprise applications using C#/.NET and React/TypeScript. Responsibilities include architecting backend services and frontend features, conducting code reviews, establishing engineering standards, optimizing high-scale systems, integrating CI/CD and cloud deployments, leveraging AI-assisted development tools, collaborating with stakeholders, and mentoring engineers.

Build and scale Daymark Health’s cancer care platform across the stack. Responsibilities include developing secure infrastructure and core systems, collaborating with product, data, operations, and customers, integrating workflows, following HIPAA and SOC 2 controls, handling PHI securely, and using AI coding tools to accelerate development. The role requires contributing to technical strategy, improving user experience, and adapting quickly in a startup environment.

Forward Deployed Engineer responsible for managing client relationships, supporting end-to-end data product implementations, ensuring data quality and adoption, and coordinating account and engineering teams. The role develops scalable data pipelines and product lines, applies SQL or Python and statistical methods, creates visualizations, documents code, trains employees, and drives customer value. Experience with data products, retail or consumer data, BI infrastructure, and alternative data sources is valuable.

Build and operate reliable backend systems and APIs for high-traffic products. Responsibilities include distributed system design, data modeling, service architecture, performance tuning, automated testing, observability, incident management, and end-to-end feature delivery. The role partners with Product and Design, makes architecture decisions, mentors engineers, and applies AI-assisted development tools responsibly.

Leads Huge’s global technology practice, engineering teams, client technology strategy, project delivery, innovation, and organic business development. Oversees complex web and mobile solutions, architecture, quality, security, vendors, and distributed teams. Guides adoption of AI, cloud, microservices, DevOps, e-commerce, enterprise platforms, and modern development practices while mentoring technical talent and communicating effectively with executives and cross-functional partners.

Own and expand the enterprise ServiceNow platform, designing, developing, testing, deploying, and improving ITSM, asset management, CMDB, ITOM, integrations, automation, reporting, security, and governance solutions. Translate business requirements into scalable workflows and platform capabilities, support acquisitions and legacy workflow migrations, maintain documentation, and promote adoption. The role requires collaboration with technical and business stakeholders, platform health management, compliance support, and occasional travel for implementation workshops, go-lives, and team events.

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.