Python QA Engineer for Sports Tech Products

Responsibilities:

• Design, build, and maintain automated test frameworks using Python for APIs, streaming feeds, and real-time data pipelines
• Extend and optimize our pytest-based libraries for better scalability and reusability
• Create sub-second data validators that detect integrity issues across high-volume pipelines
• Investigate latency anomalies and partner with engineers to implement performance improvements
• Prototype AI-driven QA tools like self-healing tests or anomaly detection powered by ML models
• Productionize successful prototypes into robust, scalable QA solutions
• Define and track quality KPIs—coverage, failure rates, time-to-detect—and present them through GitHub-integrated dashboards
• Automate quality gates in the CI/CD pipeline to prevent regressions before deployment
• Participate in code reviews, design sessions, and collaborative debugging with cross-functional teams
• Spend three dedicated on-site days per week in our Prague office to align with Product, DevOps, and Data Engineering

Required Qualifications:

• 5+ years of hands-on experience with Python automation (pytest, Playwright, Selenium, or similar)
• Proven track record of building end-to-end test frameworks from scratch
• Background in validating complex systems involving real-time data, APIs, or streaming technologies
• Understanding of ML concepts (e.g., scikit-learn, TensorFlow, PyTorch) and interest in AI-powered QA
• Comfortable writing SQL queries and working with structured data
• Familiarity with REST APIs, Git workflows, Docker containers, and CI/CD tools like GitHub Actions or Jenkins
• Enjoy clean code practices, code reviews, and sharing knowledge with junior testers
• Strong debugging and problem-solving mindset—you chase down edge cases others miss
• Clear communicator in English; able to document, explain, and advocate for quality initiatives

Why work at Stats Perform?

We love sports, but we love diverse thinking more!

• We know that diversity brings creativity, so we invite people from all backgrounds to join us.  At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution.  

We take care of our colleagues

• We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules.

We pull together to build a better workplace and world for all.

• We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.