At a Glance
- Tasks: Join us to set up a Quality Engineering department and enhance our AI products.
- Company: Lendable, a fast-growing fintech unicorn with a mission to revolutionise credit.
- Benefits: Competitive salary, equity options, hybrid work, and fresh lunches provided.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on quality for millions of customers using cutting-edge AI technology.
- Qualifications: 5+ years in quality engineering, strong coding skills, and experience with AI tools.
The predicted salary is between 63000 - 77000 £ per year.
We're hiring two Senior Quality Engineers to set up a Quality Engineering department at Lendable alongside a new Head of Quality. At Lendable we already have a number of profitable, award winning credit products. They have a good automated quality story. However, as our customer base has grown into the millions we need to keep evolving to keep the quality bar high. Advances in AI engineering also have enabled us to ship faster, but we need to ensure we are not regressing on our quality metrics. This is an automation-first role. You'll spend most of your time writing code - AI Agents, test frameworks, CI tooling, helpers. You won't be executing tests by hand. You'll work cross-functionally with software engineers, product and design. Quality is a team-level responsibility and your job is to work with teams to enable them to improve their quality processes by hands-on collaboration. You'll also be working at the frontier of AI-assisted quality, using LLMs and AI tooling to speed up test authoring, triage failures, and surface coverage gaps, while applying the engineering judgement to keep tests trustworthy.
What you'll be doing
- Enable teams to keep the quality bar high
- Rotating around different product teams for short periods to level up quality
- Define and evolve the pragmatic test pyramid for our products - deciding where E2E is worth the weight and where testing belongs in faster layers (unit and component tests)
- Make deliberate calls about coverage, reliability, and speed trade-offs across our products
- Devise and set up performance benchmarks to ensure critical parts of our systems don't regress
- Bring AI testing into the SDLC
- Speed up our SDLC by building agents that exploratory test changes and catch issues before they get to production
- Use AI tools day-to-day to accelerate test authoring, cluster failures, surface coverage insights, and propose fixes
- Decide where AI adds leverage and where a human eye is needed. A test suite that looks comprehensive but isn't trustworthy is worse than a smaller one we rely on
- Build reliable E2E automation
- Discover gaps in testing and help teams build comprehensive suites
- Get test environments and data fixtures to a level where they are easy to use and reliable
- Drive flakiness down and time-to-diagnosis down. We treat a flaky test the same way we treat a broken test, and we expect root-cause work rather than retry-until-green
- Prevent defects, not just catch them
- Partner with product and engineering on shift-left quality: join specs early, push back on ambiguous acceptance criteria, and surface risk before code is written
- Close the loop on production issues using our observability stack (Datadog, Sentry, Grafana) - tying test coverage back to real customer impact
- Ensure teams have Service Level Objectives set up and are achieving them
- Run targeted exploratory testing on high-risk releases when it's the right call
What we're looking for
- Essential
- 5+ years in quality engineering or test automation, with a track record of keeping automated suites stable rather than letting them rot into a graveyard of quarantined tests
- Experience working in a scaled engineering environment with multiple teams pulling in different directions and priorities, and know how to navigate that to drive quality improvements across them
- Hands-on coding experience of writing test code, frameworks, CI pipelines and other helper scripts. You know what a good test codebase looks like and you constantly improve it
- API and contract testing experience, with a point of view on test data and environment strategy
- Have set up and used Service Level Objectives to define a contract of system reliability with stakeholders, and driven measurable improvements against them
- Native AI-assisted working style. You can describe projects where AI meaningfully changed how you worked - test authoring, failure triage, coverage analysis - and where you decided it wasn't the right tool
- Coaching other disciplines in quality. You evangelise quality practices and get others on board to solve quality problems together
- Experience shaping CI/CD pipelines for test reliability (GitHub Actions or similar), including flakiness reduction, parallelisation, artefact management, and runtime control
- Proactive, low-ego, and clear communicator, able to chase things down when blocked
- Able to operate independently and drive improvements end-to-end (frameworks, CI, test data, reporting)
- Can point to 3-4 projects where you moved the needle on quality - for example improving SLO coverage or reducing incident rate - and can speak to the measurable impact of each
- Nice to have
- Have worked with an incident management process to root cause issues with engineers and devise meaningful quality improvements as a result
- Experience in PHP, Kotlin or Typescript
- Experience in financial services (retail or institutional) or other regulated environments
Our tech stack
- Frontend: TypeScript, React, React Native
- Backend: PHP (Symfony), Kotlin, AWS, Postgres, RabbitMQ, Docker, Kubernetes
- Testing: PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6
- Tooling and observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana
Why join?
- See your work matter: Our products are used by millions of customers - the quality bar you help set has a direct line to customer trust and company revenue
- High impact: You'll decide where and how to engage across teams to move quality forward, working hands-on rather than through process layers
- Work at the frontier of AI: AI tooling for quality is moving fast. You'll be one of the people deciding how we apply it - what's useful, what isn't, and where to keep humans in the loop
- An organisation that ships: No layers, no theatre, fast decisions
Interview process
- Quick call with a Recruiter
- 15 minute cognitive test
- Hiring manager interview (30 minutes)
- Technical interview (60 minutes)
- Culture interview (60 minutes)
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. Founded in 2014, profitable since 2017, unicorn in 2021, backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan. Loved by customers & employees with top reviews on Glassdoor and Trustpilot. So far, we’ve rebuilt the big three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do. We’re going after the two biggest Western markets (UK and US) where trillions are held by big banks with dated systems and painful processes.
Life at Lendable
- The opportunity to scale up one of the world’s most successful fintech companies
- Best-in-class compensation, including equity
- You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas
- Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday
- We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance
- We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London
Senior Quality Engineer - AI in London employer: Lendable Ltd
Lendable Ltd is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to thrive in the fast-paced world of marketing. With a strong focus on employee growth and development, you will have ample opportunities to enhance your skills while working on exciting projects under the innovative Zable brand. Located in a vibrant area, our team enjoys a supportive environment that values creativity and teamwork, making it a rewarding place to build your career.
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We think this is how you could land Senior Quality Engineer - AI in London
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior Quality Engineer - AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Lendable Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lendable Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Lendable Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Lendable Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.