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# Senior Software Quality Engineer

- **Company:** Protolabs
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Software as a Service, Software Quality, Code Review, Information Systems, Computer Programming, Databases, Continuous Integration, Database Testing, Github, Python (Programming Language), PostgreSQL, Load Testing, Machine Learning, MySQL, Cloud Services, Azure DevOps Pipelines, Software Engineering, Software Quality Assurance (SQA), Test Execution Engine, Strategies of Testing, User Interface Testing, Data Processing, Freeform SQL, Cloud Platform System, Performance Testing, Postman, Delivery Pipeline, Model Validation, Backend, Pytest, Integration Tests, Kubernetes, Information Technology, Playwright, Performance Monitor, Machine Learning Operations, Data Pipelines, Docker, SDET
- **Published:** July 2, 2026
- **Apply:** https://www.adzuna.nl/details/5784736064

## About the Role

* 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

Nice to have

 * 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

## Description

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.
This is a hybrid role, and we are accepting applications from candidates based in the Netherlands.

The Pricing Team at Protolabs is responsible for building, and maintaining, the intelligence behind how we quote production of custom-manufactured parts. We operate at the intersection of a complex two-sided marketplace; at the time of pricing, a customer uploads a CAD file and receives an instant quote, before we know which Manufacturing Partner will produce the part or at
what cost., We are looking for a Senior QA Engineer who will own quality across our pricing platform -backend services, APIs, data pipelines, and ML-driven estimates. You will design test strategies, build/maintain automation in our delivery pipelines, and give the team confidence to ship fast without sacrificing correctness in revenue-critical flows. You will work closely with software
engineers, ML engineers, product, and business stakeholders (Finance, Sales) to turn requirements into verifiable, repeatable quality gates.
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


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