{"id":3634164,"url":"https://alion.io/job/benifex-senior-backend-engineer-python","title":"Senior Backend Engineer (Python)","company":{"id":669145,"name":"Benifex","domain":"benifex.com","url":"https://alion.io/company/benifex","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Langfuse","optional":false},{"name":"Python","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"C#","optional":true},{"name":"Google ADK","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-09-22T09:50:40Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-03T12:49:57Z","board_verified":true,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":42},"description":"Who are Benifex?\nWe are a fast-moving technology company, and one of the most successful providers of online reward and benefits solutions in the UK. We believe that everyone deserves an exceptional experience at work, every day, and build workplace technology that makes this happen. Benifex’s mission is to build remarkable experiences that employees love. Today Benifex supports more than five million employees in over 3,000 organisations across more than 100 countries. To help us on our quest to be the best, we need brilliant people on board and that’s where you come in.\nWhy should you apply?\nGrow: you'll own features end-to-end on a key product, with senior engineers alongside you to help you break down bigger problems and grow your scope\n\nA clear path forward: we have published Engineering Career Pathways from Associate to Principal, so you know exactly what good looks like at your level and what the next step looks like\n\nTop 10 Employer, Sunday Times Best Places to Work Awards\n\nWork for a profitable, fast-growing market leader in the online reward and benefits space\n\nAI first by default, we're building our SDLCaround AI Assisted engineering, and you'll be learning and shaping this alongside the rest of the team, not inheriting a finished playbook\n\nPlease note we are unable to offer visa sponsorship and require to people to be based in the UK or Ireland for this position\nGreat benefits:\nTech setup of your choice (MacBook Pro or equivalent, monitors, etc.)\n£/€800 annual learning budget, plus two hours per week as ‘Focus Fridays’.\nFlexible work - choose a working setup that works for you, our only ask is to see you once a quarter in our UK HQ and you need to be based in UK, Ireland, Germany or the Netherlands\n25 days holiday plus your local bank holidays\nYour birthday off\nTwo half day wellbeing days\nHealthcare cash plan to cover the costs of day to day healthcare\nEmployee Assistance Plan 24/7 365 support\nIncome Protection (75%) and life assurance (4x salary)\nPension scheme\nEnhanced parental leave package - 26 weeks fully paid maternity leave and 4 weeks fully paid paternity leave\n£50 monthly allowance to spend on whatever takes your fancy, your very own Benifex card will be topped up at the start of each month!\nResponsibilities\nDesign and build features for our flagship AI product, Brain - where Reward Directors can speak to and access a wealth of industry knowledge on what benefits are most suitable for their employee population\n\nYou’ll use your background as a Python / .NET engineer to understand our Benefits product and APIs\n\nTake ownership of the quality of what you ship, testing your own work, fixing defects, learning from them, and improving how the team works.\n\nWrite clear, well-structured code that follows our conventions, and give clear, actionable feedback on pull requests.\n\nImprove the quality and maintainability of the code you touch, applying good practice around accessibility, performance and security.\n\nContribute to the stability of our systems. Strengthening alerts and runbooks, improving observability, and helping resolve production issues and incidents alongside a senior engineer.\n\nWork with Product, Design and Engineering colleagues to make sure what you build lands the right outcome, and proactively share progress.\n\nWork effectively with remote teams, including engineers from Java Spring Boot backgrounds, to deliver cohesive solutions.\n\nSupport the onboarding of new engineers.\n\nUse and help evolve our AI assisted development practices as part of Benifex's AI first SDLC.\n\nTech stack: Python, LangChain, LangGraph, Google ADK, .NET, SQL, GCP, MSMQ(moving to Google Pub/Sub), Kubernetes.\nWhat are we looking for?\nCommercial production GenAI experience (6 months+) including experience using MCP, orchestrating multiple agents, RAG based solutions, evals and agentic observability (Langfuse).\n\nAn advocate for AI security and responsible AI\n\nA track record of delivering features end-to-end, You make steady progress without needing constant direction, unblock yourself where you can, and know when to ask for help.\n\nSolid commercial experience in backend development with Python and confidence working with SQL.\n\nGood instincts for clean, maintainable code and awareness of non-functional concerns like performance, security and testability.\n\nComfortable debugging and diagnosing issues in a running system, and interested in understanding how things behave in production.\n\nExposure to containerisation and CI/CD pipelines, you don't need to have owned them, but you should be able to work within them and want to go deeper.\n\nAwareness of modern architectural patterns such as agentic orchestration, microservices and event-driven systems.\n\nCollaboration: you communicate openly, work well with cross-functional and remote colleagues, and bring clarity through documentation and proposals.\n\nProblem-solving: a resourceful approach to complex challenges, and the persistence to work through ambiguity.\n\nAI Assisted Development: practical, hands-on experience working with AI coding assistants (Claude Code, Copilot, Cursor, etc.) as part of your development workflow.\n\nAI Native Mindset: genuine interest in AI Native engineering practices, and a desire to help shape how a team works with AI rather than just consume it.\n\nBonus Points for:\nWorking with A2Aintegrations.\n\nExperience with messaging systems like Google Pub/Sub and caching solutions like Redis.\n\nCloud experience, particularly deploying and scaling applications (GCP especially welcome).\n\nFamiliarity with observability tools for monitoring, logging and alerting (e.g. Langfuse, Grafana).\n\nMentoring or supporting more junior engineers.\n\nOur interview process\nInitial informal call with the Talent team\nInterview with our Engineering Director 30-45 min\nTechnical Task\nTechnical Interview - 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