Senior Backend Product Engineer, ev.energy

• Strong Python experience (5+ years), with a clear track record of building and shipping production backend systems
• Experience building backend services with a Python framework (e.g Django, FastAPI or Flask)
• Strong experience building with AI — you've taken AI-powered features or products from concept through to production, and use AI coding tools (Claude, Cursor, or equivalent) as a genuine daily practice, not just occasionally
• Solid understanding of backend fundamentals — APIs, data modelling, databases, system design, and production reliability
• Experience leading technical decisions and influencing direction without relying on hierarchy
• Strong communication skills — written, verbal, and technical — credible with engineers, product, and commercial stakeholders
• High bias for action and comfort with ambiguity — you make good technical decisions with incomplete information

Desirable

• We're hiring for a number of roles across both of our Technology teams: new product development and customer delivery
• We'd love to talk to you about both teams, understand what excites you, and place you into the team where we think you'll thrive best
• Backend engineering and architecture
• Design, build, and own backend services and APIs that power our product — from data models to infrastructure to production reliability
• Make sound architectural decisions that balance shipping speed against long-term maintainability and scale
• Take ownership of significant technical areas — from identifying the right approach to shipping and iterating in production
• Building and shipping with AI
• Use AI coding tools (Claude, Cursor, or equivalent) as a core, daily part of how you write and ship code — not an occasional add-on
• Build working backend prototypes fast — good enough to validate with real usage, not over-engineered before it's proven
• Know when a rough implementation is right for the moment and when production-grade engineering is needed — and apply that judgment confidently
• Ship, measure, learn, iterate — kill what isn't working, double down on what is
• Product and stakeholder collaboration
• Work closely with product, design, and commercial stakeholders to translate customer problems into technical solutions
• Act as a credible engineering voice in cross-functional discussions, pilot programmes, and technical scoping conversations
• Partner with Customer Support, Program Management, and Demand Generation to understand how customers find, adopt, and stay with ev.energy
• Raising the bar
• Share what you learn openly, challenge how things are built, and raise the technical bar for the engineers around you
• Model what AI-native backend engineering looks like in practice — not in theory
• Contribute to a culture of experimentation, velocity, and commercial impact