Software Engineer (Python/Kubernetes)

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! 

Responsibilities: 

• Writing clean, efficient Python code for core services.


• Designing, deploying, and managing containerized applications on Kubernetes or Docker.


• Building and evolving RESTful APIs and micro‑service architecture that expose AI functionality.


• Designing and developing distributed Agentic systems with RAG and knowledge bases


• Integrating Large Language Models (LLMs) into production pipelines, handling model selection, prompting, and inference.


• Implementing CI/CD pipelines for automated testing, deployment, and monitoring.


• Collaborating with product, data‑science, and operations teams to translate business requirements into production‑ready features.

Required Qualifications: 

• 3+ years of development in Python


• Kubernetes or other container platform experience


• Basic overview of the AI ecosystem – LLMs, Agentic systems, RAG


• Experience working with and designing distributed systems

Desired Qualifications: 

• Experience developing in cloud


• Experience with using AI coding tools, e.g. Copilot, Cursor and etc.


• Interest in AI and its current and emerging capabilities


• Experience with FastAPI and the Astral Python toolset

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  

We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules.  

We pull together to build a better workplace and world for all.  

We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.   

Diversity, Equity, and Inclusion at Stats Perform  

By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values.   

With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.