QA Engineer
Product-minded QA Engineer in Warsaw owning the full quality lifecycle of Sportradar's live sports data platform — collaborating with PMs on requirements (shift-left), running exploratory/API/SQL testing, and using AI tools like LLMs and Copilot to automate and improve quality. Sports and betting domain knowledge is a plus.
- Compensation
- Not disclosed
- Location
- Warsaw, pl
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Qa
- Posted
Skills
Must have
- 3+ years of experience driving quality practices within complex product teams
- Strong experience with API testing, structured data validation, and SQL
- Basic development skills: reading existing code and creating simple scripts/utilities in Java and Python
- Experience using AI tools (LLMs, Copilot, AI assistants) to improve testing, analysis, and productivity
- Ability to analyze complex workflows, integrations, and data flows to identify root causes
- Product mindset: care about user experience, business logic, and customer impact
- Proactive: asks questions, challenges assumptions, helps define the path forward
- Clear communicator: explains technical risks, findings, and business impacts to technical and non-technical stakeholders
- Perform exploratory and structured testing across APIs, integrations, internal tools, workflows, and business processes
Nice to have
- Strong interest in sports; knowledge of sports rules, competitions, statistics, and event structures valued
- Experience with sports betting, odds, trading, sportsbook operations, or related products is a strong advantage
Full description
ABOUT US:
The Live Data Services team is the heart of our live data ecosystem, gathering, validating, processing, and delivering live sports data for more than 30 sports to customers worldwide.
You will be a key contributor to the platform that powers one of the industry's largest sports data ecosystems. Our team manages the end-to-end flow of live sports data, from collection through scouts and automated integrations, to validation, processing, and real-time delivery to bookmakers, media partners, and other customers around the globe.
THE CHALLENGE:
We are looking for a Product-Minded QA Engineer.
We need someone who looks beyond just "testing code" and takes ownership of the entire quality lifecycle. You will work side-by-side with Product Managers to refine requirements before development starts ("Shift Left"). You are also a creator who uses modern tools (AI, Copilot, and LLMs) to improve team efficiency, build smart quality solutions, and ensure our platform delivers accurate, reliable, and high-quality sports data.
Because we operate in a highly complex sports and betting environment, we are looking for someone who is curious about sports, understands how competitions work, and appreciates the impact that data quality has on real-time sports data consumers.
Key Responsibilities:
- Requirement Ownership: Collaborate with Product Managers and Engineers to turn business ideas into clear, testable user stories. You ensure the team understands what needs to be delivered and where potential risks may exist.
- Shift Left: Get involved in the design phase. You challenge assumptions, identify gaps, and help prevent issues before development begins.
- Quality Advocacy: Act as a quality champion within the team, helping stakeholders understand risks from both technical and business perspectives.
- Smart Automation (Creator Mindset): Use modern tools, including AI and LLMs, to improve efficiency, generate test assets, analyze data, and automate repetitive activities where it creates value.
- Testing Execution: Perform exploratory and structured testing across APIs, integrations, internal tools, workflows, and business processes to identify issues and validate expected behavior.
- Domain Validation: Ensure sports, betting, and customer-facing business rules behave correctly across different sports, competitions, and products.
- Release Quality: Act as the gatekeeper for quality. Validate that new features meet both technical expectations and customer needs before release.
Our Toolkit:
- API & Data: Strong experience with API testing, structured data validation, and SQL.