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  "job_description": "Staff Software Engineer\n\nDepartment: Engineering\n\nEmployment Type: Full Time\n\nLocation: London\n\nDescription\n\nThe Team\n\nThe Financial Services team enables RVU to help customers make the best decisions around financial products, by helping them identify the right products from our partners across our three main brands Uswitch, Confused.com and money.co.uk.\n\nOur engineering team build the web apps, back office systems and tooling used to deliver the financial products pages across RVU's websites, integrate with our partners, track sales, optimise marketing, and manage business reporting.\n\nWe are currently growing our offering to small and medium businesses by driving deeper integration with our partners' APIs, improving our customers' experience on our platform, streamlining customer journeys, and ensuring that the business has all the data it needs at its fingertips.\n\nOur technology stack is centred around Typescript, React and Node/Bun, running on Kubernetes in AWS.\n\nWhat you'll be doing\nJoining our team as a Staff Software Engineer, you will be working closely with business leads, commercial managers, ops executives, product managers, data analysts, designers and fellow engineers to solve business problems with software.\n\nAs a product team a lot of our time is spent on the front end, but you'll be contributing across the full stack from infrastructure, databases, pipelines, servers, CDNs, to web UIs and monitoring and analysing performance. This includes building responsive accessible React components aligned with our design system, working with APIs, using real-time metrics and alerting, interacting with databases, and keeping our applications secure. You will help to identify opportunities for process improvements, conduct code reviews, and ensure solutions are properly tested with a focus on best practices and quality assurance.\n\nWe’re leaning-in to the current AI revolution, having incorporated AI into several of our workflows, and we’re actively working on a number of projects with AI at the core. So you’ll also be working closely with AI not just as a development tool, but as a business enabler. This includes finding new and better ways to leverage AI to generate lasting value, and evangelising AI adoption across the business.\n\nMost importantly, you will be supporting and improving the engineering team’s delivery & technical expertise in a continuous learning environment. You'll contribute to defining and maintaining best practices to ensure our software remains robust, scalable and maintainable, using your technical skills to help shape the future of Financial Services within RVU, inspiring and guiding the team along the way.\n\nWhat we're looking for\nWe're looking for a technical expert who will be a multiplier for the team: bringing your own experience and knowledge to enrich the skills and foster the growth of our high performing engineering team.\n\nThis is a full stack role, so you'll be just as comfortable building cloud-native scalable applications as you are at styling responsive React components. But as a staff engineer you will go beyond just delivering features. You will be empowering the whole team to create robust well-tested software that works everywhere, ensuring attention to detail, but knowing when to pull them back to avoid getting stuck down valueless rabbit holes.\n\nYou will have experience ranging from building MVPs through to large scale production systems, in each case knowing where to strike the balance between rigour and urgency, comfortable making pragmatic decisions that benefit the business. You will identify friction points and potential improvements and be able to put a business value on them so the team can focus their efforts appropriately to maximise return to the organisation.\n\nIn addition, it’s important that you understand the benefits that AI can bring to a business like ours, so we’re also looking for experience developing AI enabled applications and workflows. This includes knowledge around platforms and frameworks (e.g. N8N, Mastra), context engineering, using vector stores, RAG, fine-tuning and evaluation.\n\nYou will have a growth mindset, always keen to learn and explore, and you like to dig deep to understand how things work. You will be able to debug large and complex systems, not just fixing the problems, but building a fundamental understanding of how the system works to the point where improvements become obvious.\n\nYou will keep abreast of industry developments: assessing and introducing new libraries, new technologies, new tools and new approaches, in particular leveraging advances in AI technology to the benefit of the team and the business.\n\nOther skills required for the role include:\n• Strong Typescript skills, convinced of the benefits of statically typed languages.\n• Deep knowledge of the Node ecosystem (node, npm, yarn), including bundling and dependency management. Familiarity with Bun is also desirable.\n• Proficient with AI tooling including delivering code using CLI or editor-based LLM agents, and using MCP servers\n• Solid understanding of the React paradigm, including one way data binding, declarative programming, rules of hooks, react anti-patterns\n• Practical experience of software engineering principles and managing complexity (e.g. separation of concerns, design patterns, domain driven design) and an appreciation and aspiration to write elegant clean code, understanding that simple often isn't easy.\n• Familiarity with container-based cloud-native applications, and architectural patterns such as REST APIs, message passing, horizontal and vertical scaling and load balancing\n• Knowledge of web security concerns (e.g. SQL injection, XSS, CORS, cookies, authentication/authorisation techniques)\n\nExperience with the following is a plus:\n• Kubernetes, Prometheus, Argo workflows, GitHub Actions, Elasticsearch/Opensearch, PostgreSQL, BigQuery, DBT data pipelines, Fastly, Storybook, component libraries and design systems, Builder.io, Bun\n\nYou don’t need to tick off everything on this list - so don’t let that hold you back from applying. We want to make sure you’re learning plenty during your time with us!\n\nOur commitment to you\n\nWe are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it’s essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members.\n\nWhat we offer\nWe want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to:\n• 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)\n• A hybrid working approach with 2 in-office days per week and up to 22 working days per year to “work from anywhere”\n• Employer-matching pension contributions up to 7.5%\n• A one-off £300 “work from home” budget to help contribute towards a great work environment at home\n• Excellent maternity, paternity, shared parental, and adoption leave policy, for those key moments in your life\n• 25 days holiday (increasing with years of employment to 30 days) + 2 days “my time” per year\n• Private medical cover, critical illness cover, and employee assistance programme\n• A healthy learning and training budget\n• Electric vehicle and cycle to work schemes\n• Free in-office gym, accessible 7 days a week\n• Free breakfast in the office daily\n• You’ll be equipped with great technology (choice of Mac or Windows)\n• Free access to the Calm and Peppy app for physical and mental health\n• Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.",
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