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Backend Engineer (Python/AWS/Kubernetes)

Automated Insights

Automated Insights

Software Engineering
Prague, Czechia
Posted on Dec 20, 2025

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:

  • Design, build, and maintain core backend systems for the Opta Vision platform.
  • Own and evolve the platform’s infrastructure (Python, AWS, Kubernetes).
  • Support smooth, scalable integration of CV/ML data pipelines.
  • Drive architectural decisions and improve development workflows across squads.
  • Collaborate with engineers and stakeholders to identify, shape and deliver technical solutions.
  • Help elevate the overall engineering culture through mentorship and code reviews.

Required Qualifications:

  • Proven experience building and maintaining scalable backend systems in Python.
  • Strong hands-on experience with AWS, Kubernetes and infrastructure automation.
  • Ability to work independently and take ownership of large technical areas.
  • Comfortable working in a fast-paced environment with distributed squads.
  • Experience working in cross-functional teams and collaborating with ML or data experts.

Desired Qualifications:

  • Understanding of Machine Learning or Computer Vision workflows.
  • Interest in football or experience working with sports data.

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.