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Senior Python QA Automation Engineer – Real-Time Sports Data

Stats PerformPraha, Czech Republic

30+ days ago

Job description

At Stats Perform, we process thousands of live sports events daily—delivering real-time data to broadcasters, sportsbooks, and fans within milliseconds. As a Senior QA Automation Engineer, your focus will be building and maintaining modern automated testing systems that ensure the integrity and speed of these pipelines. There’s no manual testing or outdated scripts—just clean Python, robust CI / CD, and opportunities to explore AI-powered quality tools.

We’re looking for a QA Engineer (mid-level — 3+ years) who codes automation in Python and loves experimenting with AI / ML. You’ll own green-field POCs, extend our web / API / data-validation frameworks, and keep traditional QA discipline—requirements analysis, structured testing, and clean defect management—at the core.

What you’ll work on

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

What makes you a great fit

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 (., 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 you’ll enjoy working here

Your work directly impacts the quality of real-time data used by millions across betting platforms and broadcasts

Hybrid setup that balances focused remote work with face-to-face team collaboration (Tue–Thu in-office)

Personal learning budget for Udemy, O’Reilly, certifications, and QA guild membership

Collaborative, international team where engineers, analysts, and product managers work closely

Premium private healthcare fully covered, plus mental health days and additional paid vacation

No-Meeting Fridays” for deep work and uninterrupted focus

Two fully paid volunteer days per year—give back to causes you care about

Inclusive culture where diverse perspectives are valued and career growth is supported

Diversity, Equity, and Inclusion at Stats Perform

At Stats Perform, diversity drives innovation. We are committed to building an inclusive, welcoming workplace where everyone is valued and respected. Our DEI goals are at the heart of our culture, ensuring we better serve our clients and communities.

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Automation Engineer • Praha, Czech Republic