Senior Software Engineer, tem

• Production backend Python: you have shipped and run an API in production and been on the hook when it broke
• Comfortable with FastAPI and SQL, and with data- and analytics-heavy systems where the correctness of numbers matters
• Product engineering nous: you ask what the price is for and who reads it, not just how to compute it
• You build with agents: Claude or similar is part of your daily workflow for writing, testing and reviewing code
• You can own a project end to end - scoping, delivery, quality - with a tech lead as a sounding board rather than a supervisor
• If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for

Desirable

• You'll join the Pricing squad, the team behind the pricing engine at the heart of RED, tem's modern utility product
• The systems you build price real energy contracts for businesses buying electricity and renewable generators selling it, so correctness shows up as money and speed shows up as trust
• This is a backend, data-heavy engineering role with a quant-y flavour
• You'll help build our new Pricing API, make prices fast, accurate and understandable, and make sure that when we can't price something, we can always explain why
• Design and ship core slices of our new Pricing API, taking them from first design through to production
• Consolidate pricing logic into one service with a clean boundary, keeping pricing behaviour stable throughout the move
• Build the detection and alerting that catches bad or slow prices before they ever reach a customer
• Give our commercial team self-serve answers to "why can't we price this?"
• Make pricing measurably faster for every customer quote
• Build with impact: design and ship components of the Pricing API that price real energy contracts, owning work from design through to production
• Make it fast: help bring the time to a first customer price down dramatically, without sacrificing accuracy
• Own reliability: build the error handling, observability and alerting that make pricing fail loudly and explainably, never silently
• Sharpen the boundaries: extract and consolidate pricing logic so the pricing engine owns its own behaviour end-to-end
• Close the loop: take your turn handling live pricing questions and incidents, and turn what you learn into structural fixes

• First call with Jack on our Talent Team (30m)
• Behaviour Interview with the Hiring Manager (60 mins)
• Technical Interview with the Team (75 mins). You'll meet with Engineers, discuss backend engineering for pricing systems, including a practical whiteboard exercise
• Bar Raiser Interview with Senior stakeholder (45m)