Senior Backend Engineer (Python / .Net)

**Who are Benifex?** 💚💜

We 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. 🚀

**Why should you apply? 🌟**

**Grow**

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

**A 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

• **Top 10 Employer, Sunday Times Best Places to Work Awards**
• Work for a **profitable, fast-growing market leader** in the online reward and benefits space
• AI first by default, we're building our SDLC around AI Assisted engineering, and you'll be learning and shaping this alongside the rest of the team, not inheriting a finished playbook

**Please note we are unable to offer visa sponsorship and require to people to be based in the UK or Ireland for this position**

**Great benefits

**

💻 Tech setup of your choice (MacBook Pro or equivalent, monitors, etc.)

📚 £/€800 annual learning budget, plus two hours per week as ‘Focus Fridays’.

🤸 Flexible 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

✈️ 25 days holiday plus your local bank holidays

🎂 Your birthday off

❤️ Two half day wellbeing days

🩺 Healthcare cash plan to cover the costs of day to day healthcare

🧠 Employee Assistance Plan 24/7 365 support

🤒 Income Protection (75%) and life assurance (4x salary)

🤑 Pension scheme

🌟 Enhanced parental leave package - 26 weeks fully paid maternity leave and 4 weeks fully paid paternity leave

💳 £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!

**Responsibilities**

• Design 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
• You’ll use your background as a Python / .NET engineer to understand our Benefits product and APIs
• Take ownership of the quality of what you ship, testing your own work, fixing defects, learning from them, and improving how the team works.
• Write clear, well-structured code that follows our conventions, and give clear, actionable feedback on pull requests.
• Improve the quality and maintainability of the code you touch, applying good practice around accessibility, performance and security.
• Contribute to the stability of our systems. Strengthening alerts and runbooks, improving observability, and helping resolve production issues and incidents alongside a senior engineer.
• Work with Product, Design and Engineering colleagues to make sure what you build lands the right outcome, and proactively share progress.
• Work effectively with remote teams, including engineers from Java Spring Boot backgrounds, to deliver cohesive solutions.
• Support the onboarding of new engineers.
• Use and help evolve our AI assisted development practices as part of Benifex's AI first SDLC.

**Tech stack**

Python, LangChain, LangGraph, Google ADK, .NET, SQL, GCP, MSMQ (moving to Google Pub/Sub), Kubernetes.

**What are we looking for?**

• Commercial production **GenAI experience (6 months+)** including experience using MCP, orchestrating multiple agents, RAG based solutions, evals and agentic observability (Langfuse).
• An advocate for **AI security** and responsible AI
• A 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.
• Solid commercial experience in backend development with **Python** and confidence working with **SQL**.
• Good instincts for **clean, maintainable code** and awareness of non-functional concerns like performance, security and testability.
• Comfortable **debugging and diagnosing issues** in a running system, and interested in understanding how things behave in production.
• **Exposure 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.
• **Awareness of modern architectural patterns** such as agentic orchestration, microservices and event-driven systems.

**Collaboration**

you communicate openly, work well with cross-functional and remote colleagues, and bring clarity through documentation and proposals.

**Problem-solving**

a resourceful approach to complex challenges, and the persistence to work through ambiguity.

**AI Assisted Development**

practical, hands-on experience working with AI coding assistants (Claude Code, Copilot, Cursor, etc.) as part of your development workflow.

**AI 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.

**Bonus Points for

**

• Working with A2A integrations.
• Experience with messaging systems like Google Pub/Sub and caching solutions like Redis.
• Cloud experience, particularly deploying and scaling applications (GCP especially welcome).
• Familiarity with observability tools for monitoring, logging and alerting (e.g. Langfuse, Grafana).
• Mentoring or supporting more junior engineers.

**Our interview process**

📞 Initial informal call with the Talent team

⏳ Interview with our Engineering Director 30-45 min

🧪 Technical Task

🔎 Technical Interview - 60 min

🤩 Final interview with VP of Engineering - 30-45 min