Adéla Uhlíková, e-mail: [email protected]
Stats Perform is a market leader in sports technology. We provide the most reliable sports data to some of the world's largest organizations across sports, media, and broadcasting. Using the latest artificial intelligence and machine learning technologies, we combine decades of historical data with real-time game action. We offer coaches, teams, sports organizations, and media channels worldwide access to the highest quality data, content, and analytical insights. All of this enhances how sports fans interact with their favorite teams and competitions. How do we add value? • Media companies enrich their broadcasts with our statistics and graphics packages. • Sportsbooks can offer better predictions and more accurate odds. • The world's best coaches use our data when making critical team decisions. • Sports commentators can leverage our stories and analysis to forge deeper connections with fans. Wherever there's sport, there's Stats Perform. However, data and technology are only half the equation. We need great people who power our entire ecosystem. We've succeeded because of an exceptional team. Every day, they collect, analyze, and interpret data from a wide range of live sporting events. When you combine this real-time data with our 40-year archives, elite journalists, cameramen, copywriters, cutting-edge AI technology, and a range of supporting teams "behind the scenes," you get all the ingredients for a truly exceptional experience.
Responsibilities
• Design, develop, and maintain key backend systems for the Opta Vision platform. • Manage and expand platform infrastructure (Python, AWS, Kubernetes). • Ensure smooth and scalable integration of CV/ML data pipelines. • Guide architectural decisions and improve development processes across teams. • Collaborate with engineers and stakeholders to identify, design, and deliver technical solutions. • Support engineering culture development through mentoring and code reviews.
Required Qualifications
• Proven experience developing and maintaining scalable backend systems in Python. • Strong practical experience with AWS, Kubernetes, and infrastructure automation. • Ability to work independently and take ownership of large technical areas. • Comfort working in a dynamic environment with distributed teams. • Experience working in cross-functional teams and collaborating with ML or data specialists.
Employee Benefits
25 days of vacation and additional time off throughout the year, Premium medical care, Life insurance and contribution to pension insurance, Multisport card, Access to external learning portals, Ergonomic workplace