Senior Backend Developer (Node.js + Python)

Overview 

Stats Perform is the market leader in sports tech.  We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.   

Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights.  In turn, improving how sports fans interact with their favorite sports teams and competitions. 

 

How do we add value? 

• Media outlets add a little magic to their coverage with our stats and graphics packages. 
• Sportsbooks can offer better predictions and more accurate odds. 
• The world's top coaches are known to use our data to make critical team decisions. 
• Sports commentators can engage with fans on a deeper level, using our stories and insights. 

 

Anywhere you find sport, Stats Perform is there.  However, data and tech are only half of the package. We need great people to fuel the engine. 

 

We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! 

We are hiring experienced Senior Backend Developer to join the growing team behind Opta Search – our high-performance analytics platform already in use by international sports leagues and clients worldwide. This is a critical phase of the product’s evolution. As we scale into new sports and increase feature complexity, we are also modernizing the backend technology. You will work primarily with Node.js, while also leveraging your hands-on Python skills to support data pipelines, ML model integrations and prepare the groundwork for a gradual architectural shift toward a more Python-centric backend. This is a role for professionals who are comfortable making architectural contributions, mentoring others and driving delivery in a dynamic, data-intensive environment.

 

Responsibilities: 

 

• Design, develop, and maintain robust backend services using Node.js.
• Work directly with Python-based data pipelines, primarily involving machine learning and computer vision outputs.
• Contribute to backend architecture planning and help shape the future technology direction of the platform
• Collaborate closely with a cross-functional engineering team and a Prague-based Product Owner to deliver scalable, production-ready features.
• Extend and refine a live product with active enterprise customers, balancing performance, quality and flexibility.

Required Qualifications: 

• Strong backend development experience in JavaScript (Node.js), ideally on data-centric or product-focused platforms.
• Working proficiency in Python – including integration, debugging and contribution to pipeline code.
• Solid grasp of API design (REST), data modeling and clean code principles.
• Comfort working with semi-structured data and transforming it into usable APIs and product features.
• Experience working in agile, distributed development teams.
• Ability to take ownership of delivery while mentoring mid-level team members.

Desired Qualifications: 

• Background in data-driven applications or sports analytics.
• Familiarity with cloud platforms (e.g., AWS, GCP).
• Experience with FastAPI, Kafka, or asynchronous Python frameworks.
• Exposure to ML, AI models and data visualization workflows.

 

Why work at Stats Perform?  

 

We love sports, but we love diverse thinking more!  

We know that diversity brings creativity, so we invite people from all backgrounds to join us.  At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution.    

We take care of our colleagues  

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