Product Software Engineer

The Technology Solutions squad builds solutions that unlock value for clients across the sports industry. We work mainly on a project basis, delivering custom-built applications, APIs and AI tools for clients across sports competitions, federations, brands and broadcasters. Our team operates on an  internal open source  model; we value collective stewardship of our codebase rather than individual silos. You will be a key driver in understanding the  why  behind our systems and the customers they serve This role is for someone who balances high-level system design with a pragmatic, product-first mindset.

You will not just execute on projects; you will help shape them while coaching and mentoring those around you.

• Solution Stewardship:
  Partner with PMs and stakeholders to build custom solutions. You are expected to suggest technical and feature trade-offs to ensure our solutions fit the brief and deliver in the time available without compromising quality
• Engineering Excellence:
  Develop robust, low-latency solutions using AWS services
• Collective Contribution:
  Participate in our  open source  internal culture. You will contribute to a shared ecosystem of services and tools, prioritizing the best collective outcome over component  ownership , and emphasising scalability.
• Event Support:
  Our solutions are often focused on specific sporting events, meaning fixed deadlines and go-live support requirements that you will help to provide
• Conscious AI:
  Leverage AI tools to accelerate development and enhance system logic, whilst maintaining human oversight and accountability.
• Lean XP Practices:
  Work within an XP-influenced environment, utilizing TDD and continuous delivery to maintain speed and quality in a high-stakes environments.
• Experience:
  
  with several years of experience behind you, you are ready to take on a Mid-level role. We welcome applications from recent bootcamp graduate, eg Makers Academy, Le Wagon.
• Python: a strong proficiency in Python is essential, whilst you should also be comfortable moving between and picking up new languages as we evolve our services
• Agentic Coding: everyday user of agentic coding workflows, actively pushing the boundaries of AI-assisted development by leveraging Claude Skills, Model Context Protocol (MCP), and autonomous agents.
• AWS Serverless: experience building and scaling event-driven architectures (Lambda, Event Bridge, DynamoDB).
• Sports Literate:
  You follow sports and understand the context of the data and markets we build for, Java: our code base contains a significant amount of Java, hands on experience would be helpful
• Sports business experience: knowledge of the business would be helpful
• Infrastructure as Code:
  Hands-on experience with Terraform
• Data Modeling:
  Proficiency with SQL and No
  
  SQL data modeling for high-volume, low-latency environments
• Hybrid-working out of our London office (Farringdon) - 3 days/week minimum in office
• Salary based on our external benchmarking framework, plus eligibility for a bonus scheme.
• Private health insurance, occupational life cover, and income protection insurance.
• Personal days, including birthdays and health and wellness days