Senior Software Engineer (Pricing)

Requirements

• Production backend Python: you have shipped and run an API in production and been on the hook when it broke

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• Comfortable with FastAPI and SQL, and with data- and analytics-heavy systems where the correctness of numbers matters

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• Product engineering nous: you ask what the price is for and who reads it, not just how to compute it

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• You build with agents: Claude or similar is part of your daily workflow for writing, testing and reviewing code

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• You can own a project end to end - scoping, delivery, quality - with a tech lead as a sounding board rather than a supervisor

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• (Desirable) Domain knowledge from fintech, energy pricing or neo-utilities, or ad-tech

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• (Desirable) Experience working inside or alongside machine learning teams

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• (Desirable) AWS and serverless patterns (Lambda, event-driven services, Postgres on RDS)

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• (Desirable) Polars, or a taste for making numerical code fast

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• 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

What the job involves

• You'll join the Pricing squad, the team behind the pricing engine at the heart of RED, tem's modern utility product

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• 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

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• This is a backend, data-heavy engineering role with a quant-y flavour

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• 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

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• Design and ship core slices of our new Pricing API, taking them from first design through to production

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• Consolidate pricing logic into one service with a clean boundary, keeping pricing behaviour stable throughout the move

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• Build the detection and alerting that catches bad or slow prices before they ever reach a customer

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• Give our commercial team self-serve answers to "why can't we price this?"

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• Make pricing measurably faster for every customer quote

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• Build with impact: design and ship components of the Pricing API that price real energy contracts, owning work from design through to production

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• Make it fast: help bring the time to a first customer price down dramatically, without sacrificing accuracy

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• Own reliability: build the error handling, observability and alerting that make pricing fail loudly and explainably, never silently

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• Sharpen the boundaries: extract and consolidate pricing logic so the pricing engine owns its own behaviour end-to-end

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• Close the loop: take your turn handling live pricing questions and incidents, and turn what you learn into structural fixes

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