Top Software Engineer Jobs in Madison, WI

Contribute as an Agile Scrum team member to develop features across data marketplaces, mobile/web apps, and APIs. Participate in cloud migrations, test automation, code reviews, and production support with a focus on scalability, uptime, and continuous improvement.

The Sr. MuleSoft Developer will oversee client integration platforms, implementing security and researching integration technologies while maintaining and developing solutions.

The role involves building creative tools for content editing, enhancing features with PixiJS and WebGL, and improving collaboration workflows.

Administer and govern PDM/PLM systems (Autodesk Vault, SolidWorks PDM, PTC Windchill). Ensure engineering data integrity, BOM and item/master alignment, troubleshoot multi-CAD issues, support upgrades, migrations, and governance activities, and collaborate with engineering, IT, manufacturing, and business stakeholders.

Seeking a full stack engineer to develop applications, requiring skills in Node.js, SQL, and modern JavaScript frameworks with a focus on scalability and performance.

Lead and technically supervise cross-functional Agile teams building and rearchitecting HIS software products. Hire, mentor, set technical direction, prioritize backlogs, drive CI/CD and quality, coordinate with product and business stakeholders, and champion Agile practices to deliver cloud and on-premises solutions that improve healthcare outcomes.

Embed with strategic clients to design, build, and ship production Python code and data pipelines. Integrate RESTful APIs, optimize complex SQL, architect scalable data workflows, lead technical discovery and workshops, and translate operational needs into product improvements while ensuring mission-critical outcomes.

Build and maintain full-stack product features, backend services, APIs, data pipelines, and AI integrations to transform customer interaction data into AI-powered experiences. Collaborate with cross-functional teams to design, test, and support production systems, internal tools, and user-facing interfaces. Own ambiguous problems end-to-end and raise engineering quality across the data and AI platform.

Design, build, and scale low-latency distributed platform components; define technical vision and architecture; collaborate with product and ML teams; evaluate build-vs-buy decisions; prototype research breakthroughs and deliver robust, production-grade services.

Build and ship first-party risk management features end-to-end: risk registers, risk scoring, control testing, monitoring, and framework integrations. Implement backend services/APIs and React/TypeScript front-end components, collaborate with product/design/QA, and ensure data integrity and test coverage in a compliance-focused SaaS product.