Software Quality Engineer

Be yourself at Protolabs Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.  We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace.  So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply!  You can help make our company even better.  We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself.  We strongly believe diversity makes for more successful teams.  Why Protolabs? We are the leaders in digital manufacturing.  We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit.  Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds.  We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do.  It’s our people who fuel our creativity and make our culture feel like home. 

Join our team as a Senior Software Quality Engineer!

This is a fixed hybrid role on-site Tuesday, Wednesday, Thursday at HQ in Maple Plain, MN.

What you’ll do

• Support and evolve the test strategy for the Pricing domain, covering functional, integration, contract, regression, and non‑functional testing such as performance, reliability, and ML quality gating across services and APIs
• Design, implement, and maintain automated test suites for APIs, events, integrations, and targeted end‑to‑end and performance scenarios aligned with the team’s architecture, including API and event‑driven components and cloud deployments
• Own and extend continuous testing within GitHub Actions or Azure DevOps CI/CD pipelines, ensuring test execution on PRs, enforcing quality gates, reporting results, managing flaky tests, and integrating with deployment workflows.
• Validate pricing and ML outputs for correctness, edge cases, and regression, including geometry‑driven estimates, probabilistic forecasts, and model‑serving behaviour where applicable
• Partner with engineers to improve testability through clear acceptance criteria, observable systems, contract testing between services, and shift‑left practices during code reviews. Investigate defects in production and pre‑production environments, perform root cause analysis, and drive preventative improvements such as closing automation gaps, increasing coverage, and enhancing processes
• Contribute to release readiness by assessing risks, defining regression scope, providing go or no‑go input, and verifying system behaviour after release for pricing‑critical changes