Senior AI Quality Engineer

Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on 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 worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting

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)

Life at Lendable

Winning team: the opportunity to scale up one of the world’s most successful fintech companies

Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites

Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

Health coverage: support for your physical and mental wellbeing, including private health cover

Retirement & savings: long-term financial wellbeing through retirement savings plans

Employee referral programme: earn a competitive bonus when you refer successful new team members

Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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