Staff Software Engineer

Staff Software Engineer

Full-Time 70000 - 90000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build innovative software solutions for financial products and enhance user experiences.
  • Company: Join a forward-thinking tech company focused on financial services.
  • Benefits: Enjoy a competitive salary, hybrid work, and generous holiday allowance.
  • Why this job: Be part of an AI-driven team making a real impact in the financial sector.
  • Qualifications: Experience in full stack development with strong skills in Typescript and React.
  • Other info: Dynamic workplace with a focus on continuous learning and career growth.

The predicted salary is between 70000 - 90000 ÂŁ per year.

The 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. Our engineering team builds the web apps, back office systems, and tooling used to deliver the financial products pages across RVU's websites, integrates with our partners, tracks sales, optimises marketing, and manages business reporting. We 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. Our technology stack is centred around Typescript, React, and Node/Bun, running on Kubernetes in AWS.

As a Staff Software Engineer, you will work closely with business leads, commercial managers, ops executives, product managers, data analysts, designers, and fellow engineers to solve business problems with software. 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.

We’re leaning into 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. 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. Most 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.

We’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. This 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. As a staff engineer you will go beyond just delivering features. You will empower 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. You will have experience ranging from building MVPs through to large scale production systems, knowing where to strike the balance between rigour and urgency, and 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. In 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. You 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. You 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.

Other skills required for the role include:

  • Strong Typescript skills, convinced of the benefits of statically typed languages.
  • Deep knowledge of the Node ecosystem (node, npm, yarn), including bundling and dependency management. Familiarity with Bun is also desirable.
  • Proficient with AI tooling including delivering code using CLI or editor‑based LLM agents, and using MCP servers.
  • Solid understanding of the React paradigm, including one‑way data binding, declarative programming, rules of hooks, react anti‑patterns.
  • 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.
  • Familiarity with container‑based cloud‑native applications, and architectural patterns such as REST APIs, message passing, horizontal and vertical scaling and load balancing.
  • Knowledge of web security concerns (e.g. SQL injection, XSS, CORS, cookies, authentication/authorisation techniques).

Experience with the following is a plus:

  • Kubernetes, Prometheus, Argo workflows, GitHub Actions, Elasticsearch/Opensearch, PostgreSQL, BigQuery, DBT data pipelines, Fastly, Storybook, component libraries and design systems, Builder.io, Bun.

You 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!

We 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.

We 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:

  • 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)
  • A hybrid working approach with 2 in‑office days per week and up to 22 working days per year to “work from anywhere”
  • Employer‑matching pension contributions up to 7.5%
  • A one‑off ÂŁ300 “work from home” budget to help contribute towards a great work environment at home
  • Excellent maternity, paternity, shared parental, and adoption leave policy, for those key moments in your life
  • 25 days holiday (increasing with years of employment to 30 days) + 2 days “my time” per year
  • Private medical cover, critical illness cover, and employee assistance programme
  • A healthy learning and training budget
  • Electric vehicle and cycle to work schemes
  • Free in‑office gym, accessible 7 days a week
  • Free breakfast in the office daily
  • You’ll be equipped with great technology (choice of Mac or Windows)
  • Free access to the Calm and Peppy app for physical and mental health
  • Regular events – from team socials to company‑wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.

Staff Software Engineer employer: money.co.uk

At RVU, we pride ourselves on being an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. Our commitment to employee growth is evident through our robust training budget, hybrid working model, and inclusive culture that values diverse perspectives. With competitive benefits such as a discretionary bonus, generous holiday allowance, and a focus on well-being, we empower our Staff Software Engineers to thrive both personally and professionally while contributing to meaningful projects at the forefront of financial services technology.
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Contact Detail:

money.co.uk Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Software Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at RVU on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your interview process. It’s all about making connections!

✨Tip Number 2

Prepare for technical interviews by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice common algorithms and data structures. We want you to feel confident when tackling those coding challenges!

✨Tip Number 3

Show off your projects! If you've built anything using Typescript, React, or AI tools, make sure to highlight these in your discussions. We love seeing real-world applications of your skills, so don’t hold back!

✨Tip Number 4

Don’t forget to ask questions during your interview! This shows your interest in the role and helps you gauge if RVU is the right fit for you. Think about what you want to know about the team, projects, and company culture.

We think you need these skills to ace Staff Software Engineer

Typescript
React
Node.js
Kubernetes
AI Tooling
Software Engineering Principles
REST APIs
Web Security
Cloud-Native Applications
Data Analysis
Problem-Solving Skills
Communication Skills
Adaptability
Continuous Learning

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Typescript, React, and Node/Bun. We want to see how your skills align with what we’re doing at RVU, so don’t hold back on showcasing relevant projects!

Show Your Passion for AI: Since we’re leaning into AI, it’s a great idea to mention any experience you have with AI-enabled applications or workflows. Share specific examples of how you've used AI in your past roles to add value – we love seeing that enthusiasm!

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and why you’d be a great fit for our team.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows you’re genuinely interested in joining our team at RVU!

How to prepare for a job interview at money.co.uk

✨Know Your Tech Stack

Make sure you’re well-versed in Typescript, React, and Node/Bun. Brush up on your knowledge of Kubernetes and AWS too, as these are crucial for the role. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.

✨Showcase Your AI Experience

Since the team is leaning into AI, be prepared to discuss any experience you have with AI-enabled applications and workflows. Talk about specific tools or frameworks you've used, like N8N or Mastra, and how they’ve helped you solve problems or improve processes in your previous roles.

✨Demonstrate Problem-Solving Skills

Prepare to share examples of how you've identified friction points in software development and proposed improvements. Highlight your ability to balance urgency with thoroughness, and how you’ve made pragmatic decisions that benefited your previous teams or projects.

✨Emphasise Continuous Learning

The role requires a growth mindset, so be ready to discuss how you keep up with industry developments. Mention any recent technologies or libraries you've explored, and how you’ve applied new knowledge to enhance your work. This shows that you’re proactive and committed to personal and professional growth.

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