Top Remote Software Engineer Jobs in Madison, WI

Lead technical projects, collaborate with cross-functional teams, mentor junior engineers, and drive improvements in development practices in a cloud-based analytics platform.

The role involves developing API driven applications, building microservices, working with React screens, and ensuring best practices in a remote team environment.

As the Data Engineer, you'll build and maintain data pipelines, ensure data quality, collaborate with traders, and uphold security. You'll be responsible for designing cloud-native solutions for algorithmic trading data.

Lead the Identity Team at LTK, optimizing the identity platform's performance, security, and scalability while coaching engineers and managing cross-functional relationships.

Lead technical delivery and architecture for EDI/Edifecs platform. Drive full development lifecycle, enforce coding standards, ensure HIPAA transaction SLAs, improve resiliency, collaborate with product and stakeholders, and mentor technical teams.

The Senior Backend Software Engineer will develop and optimize critical systems for the aerospace industry, managing project priorities and overseeing various software projects.

Seeking an experienced Software Engineer for the Spacetime team to develop systems for satellite communication, requiring expertise in algorithms and large-scale distributed systems.

The role involves leading design initiatives for Vercel's acquisition surfaces, collaborating across teams to enhance web experiences, and mentoring design engineers.

Design and build ML infrastructure components for autonomous vehicles, ensuring scalability and robustness for high-volume data processing and model training.

The Web3 / Full-stack Software Engineer will design, develop, and deploy software solutions for staking products, collaborating with engineers and UX designers to enhance UI and ensure security of blockchain networks.

Design, develop, and administer Power Platform solutions and SharePoint sites; gather requirements, automate workflows, perform data modernization (migrate lists to Dataverse), test, document, train users, and provide ongoing support and governance.