qa engineer (manual) in sports betting

Sportradar is a sports technology company operating at the intersection of sports, media, and betting. Its technology and expertise support sports federations, media outlets, betting operators, and consumer platforms across 120 countries. The Live Data Services team gathers, validates, processes, and delivers live data across more than 30 sports to bookmakers, media partners, and other customers worldwide.

• Collaborate with Product Managers and Engineers to turn business ideas into clear, testable user stories and identify potential risks;
• Challenge assumptions, identify gaps, and help prevent issues during the design phase;
• Advocate for quality and help stakeholders understand technical and business risks;
• Use AI, LLMs, Copilot, and other modern tools to improve efficiency, generate test assets, analyze data, and automate repetitive activities;
• Perform exploratory and structured testing across APIs, integrations, internal tools, workflows, and business processes;
• Validate sports, betting, and customer-facing business rules across different sports, competitions, and products;
• Validate that new features meet technical expectations and customer needs before release.

• 3+ Years of experience driving quality practices within complex product teams;
• Strong experience with API testing, structured data validation, and SQL;
• Ability to read existing code and create simple scripts or utilities using Java and Python;
• Ability to analyze complex workflows, integrations, and data flows to identify root causes and quality issues;
• Product mindset focused on user experience, business logic, and customer impact;
• Strong interest in sports and willingness to develop expertise across a broad portfolio of sports;
• Proactive approach, including asking questions, challenging assumptions, and helping define the path forward;
• Ability to explain technical risks, findings, and business impacts to technical and non-technical stakeholders;
• Nice to have: knowledge of sports rules, competitions, statistics, and event structures; experience with sports betting, odds, trading, sportsbook operations, or related products; experience using AI tools, LLMs, Copilot, or AI assistants.

• Competitive salary and benefits;
• Opportunity to work and develop within an inspiring and fast-growing company;
• Flat organization with a high degree of individual responsibility;
• Collaborative environment with colleagues from around the world;
• Very good social and physical working environment;
• Company culture promoting social activities, sports, physical exercise, and fun.