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Jobs / Sportradar / QA Engineer
Posted 2026-10-30

QA Engineer

Description

The Live Data Services team at Sportradar manages the end-to-end flow of live sports data, from collection through scouts and automated integrations to validation, processing, and real-time delivery for global customers. The team is responsible for a platform that powers one of the largest sports data ecosystems in the industry.

Sportradar is looking for a product-minded QA Engineer to take ownership of the entire quality lifecycle. This role involves working closely with Product Managers to refine requirements before development begins and using modern tools, including AI and LLMs, to improve team efficiency and build smart quality solutions. The successful candidate will ensure the platform delivers accurate and reliable sports data within a complex betting environment.

Responsibilities
  • Collaborate with Product Managers and Engineers to turn business ideas into clear, testable user stories.
  • Get involved in the design phase to challenge assumptions, identify gaps, and help prevent issues before development begins.
  • Act as a quality champion within the team, helping stakeholders understand risks from both technical and business perspectives.
  • Use modern tools, including AI and LLMs, to improve efficiency, generate test assets, analyse data, and automate repetitive activities.
  • Perform exploratory and structured testing across APIs, integrations, internal tools, workflows, and business processes.
  • Ensure sports, betting, and customer-facing business rules behave correctly across different sports, competitions, and products.
  • Act as the gatekeeper for quality by validating that new features meet both technical expectations and customer needs before release.
Requirements
  • Strong experience with API testing, structured data validation, and SQL (required).
  • Comfortable reading existing code and creating simple scripts or utilities using Java, Python, and modern AI-powered development tools (required).
  • Experience using AI tools such as LLMs, Copilot, and AI assistants to improve testing, analysis, and productivity (required).
  • Ability to analyse complex workflows, integrations, and data flows to identify root causes and quality issues (required).
  • 3+ years of experience driving quality practices within complex product teams (required).
  • Strong interest in sports and willingness to develop expertise across a broad portfolio of sports (required).
  • Knowledge of sports rules, competitions, statistics, and event structures (nice-to-have).
  • Experience with sports betting, odds, trading, sportsbook operations, or related products (nice-to-have).
  • Proactive approach to asking questions and challenging assumptions (required).
  • Clear communication skills to explain technical risks and business impacts to various stakeholders (required).
Benefits
  • Opportunity to work and develop within an inspiring and fast-growing company.
  • Flat organisation with a high degree of individual responsibility.
  • Collaborative environment with colleagues from all over the world.
  • Very good social and physical working environment.
  • Company culture that promotes social aspects, sports, physical exercise, and fun.
  • Competitive salary and benefits.
About Sportradar

Sportradar is a global sports technology company that collects, analyses and distributes sports data to betting operators, sports leagues and media companies. Headquartered in St. Gallen, Switzerland, and founded in 2001, it provides betting services, managed trading, integrity monitoring and audiovisual streaming across hundreds of sports. The company holds official data partnerships with organisations including the NBA, NHL, FIFA and ICC. Sportradar is listed on the Nasdaq stock exchange and employs several thousand people worldwide.

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