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Open nowPosted 32 days ago

Senior Software Quality Engineer

Protolabs87 open roles

Pay
$107,400 – $161,000 a year
Where
Maple Plain, MN
Work mode
Hybrid
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Your applicationOpen nowSenior Software Quality EngineerProtolabs · Maple Plain, MN
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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Protolabs postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 32 days ago

Protolabs median: 1 days open

The posting

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
  • Monitor quality metrics including coverage trends, defect escape rates, pipeline stability, and SLA‑related signals, and communicate status clearly to engineering and product leadership while automating post‑release monitoring
  • Mentor QA engineers and SDETs, promote testing standards, establish coding conventions for tests, and drive shared ownership of quality and testing frameworks across the engineering organisation. Participate in on‑call or incident support rotations when needed, focusing on reproductions, adding automated regression coverage, and ensuring long‑term fixes
  • Ensure the test approach aligns with relevant regulatory, audit, and data handling requirements, especially in the context of commercial pricing systems

What you’ll bring

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience
  • 7+ years of experience in software quality assurance, test automation, or SDET roles in a SaaS or production environment
  • Experience owning test automation and CI integration for backend or platform teams
  • Proven track record of leading test strategy or automation initiatives across cross functional products
  • Strong programming skills for test automation, especially in Python, with C# as a plus, and comfortable working directly in engineering codebases including reviews, fixes, shared libraries, and build pipelines
  • Solid experience with API and UI testing, along with component integration and service level integration testing
  • Hands on experience designing and maintaining GitHub Actions or similar CI pipelines, including parallel jobs, artefacts, secrets management, branch protections, and failure triage
  • Good understanding of databases such as PostgreSQL or MySQL, including writing data setup and assertions, understanding migration impacts, ensuring test isolation, and writing complex SQL queries
  • Experience working in cloud environments such as AWS, GCP, or Azure, and familiarity with containerised workloads including
  • Docker and basic Kubernetes concepts for test environments
  • ISTQB certification at foundation or advanced level, or equivalent formal QA training, with practical application of structured test design techniques such as equivalence partitioning, boundary value analysis, risk based testing, traceability, and quality modelling
  • Strong analytical skills when working in ambiguous domains, with the ability to translate finance, sales, and business rules into clear test cases and automation
  • A strong quality mindset with attention to detail, especially around pricing rules and regression in revenue impacting flows
  • Exposure to ML and MLOps testing, including model validation, A B or backtesting support, monitoring inference pipelines, and ensuring data quality
  • Experience with tools such as pytest, Playwright or similar for selective UI and API flows, Postman or Newman, contract testing frameworks, and performance tools like Locust
  • Familiarity with observability practices including logs, metrics, and traces for test failure diagnosis and production like verification
  • Experience participating in on call or incident response within a platform team
  • Experience with DBT or data testing frameworks

What's in it for you?

  • We offer a competitive salary and annual bonus opportunity
  • In addition, we offer amazing benefits including but not limited to:
  • Health Insurance: Traditional OR High Deductible plan
  • Flexible Spending Accounts
  • Health Savings Account (including employer contributions)
  • Dental and Vision
  • Basic and Supplemental Life Insurance
  • Short-Term and Long-Term Disability
  • Paid caregiver leave
  • You will receive PTO + Holiday Pay + Wellness Hours + Volunteer Hours
  • 401k with company match and immediate vest
  • Employee Stock Purchase Program at a 15% discounted rate
  • Matching grants through Protolabs foundation
  • And More!

Proto Labs maintains ITAR-compliant operations in all of our United States based facilities. Due to ITAR regulations, this role is only open to U.S. Citizens, lawful permanent residents (green card holders) or foreign nationals granted refugee or asylee status. Individuals with temporary visas (e.g. E, F-1, H-1, H-2, L, B, J, TN or OPT) are not eligible for hire in this role.

Proto Labs, Inc. is an Equal Opportunity Employer

Physical Demands:

While performing the essential duties of this job, the employee is regularly required to sit; use a computer keyboard, monitor and mouse, telephone and printer; reach with hands, and arms, talk, see and hear. The employee is occasionally required to stand, walk, stoop or kneel and must occasionally lift and/or move up to 25 pounds.

Work Environment:

Indoors (A/C); nonsmoking; the majority of this job function is performed in an office setting requiring normal safety precautions. However, there may be job duties that require the employee to spend time in the manufacturing areas exposed to machinery and noise; eye protection occasionally required. Occasionally works in outside weather conditions. Occasionally works near moving mechanical parts and in high, precarious places and is occasionally exposed to wet and/or humid conditions, fumes or airborne particles, toxic or caustic chemicals, risk of electrical shock and vibration. The noise level in the work environment is usually quiet to moderate.

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