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Salary
≈ $83k – $187k per year (Estimated)
Location
Hybrid (United Kingdom)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 28, 2026. First seen by Alion on Sep 28, 2026. Lendable scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Lendable is a London-based fintech company that uses artificial intelligence and proprietary technology to automate credit decisions for consumer finance products, including personal loans, credit cards, and car finance. Founded in 2014, the platform connects institutional investors directly with individual borrowers, providing streamlined digital applications that offer instant quotes and fast payouts without long paperwork.

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s most exciting unicorns with a team of over 800 people

  • Among thefastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital andGoldman Sachs

  • 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: 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: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

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

About the role

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.

Our mobile app, Zable, is how most of our customers experience all of our products in one centralised space. It's written in React Native and TypeScript with a Kotlin backend, shipped to iOS and Android from a single codebase. We are now looking to level up the quality engineering so that we can raise release cadence without losing sleep over regressions.

This is an automation-first role. You'll spend most of your time writing code - test frameworks, CI tooling, helpers, rather than executing test scripts by hand. You'll work alongside software engineers, product, and design, setting direction.

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

Own the mobile test strategy:

  • Define and evolve a pragmatic test pyramid for React Native - deciding where E2E is worth the weight and where logic belongs in faster layers (Jest, React Testing Library, component tests).

  • Make deliberate calls about coverage, reliability, and speed trade-offs across the app.

  • Set the bar for what "ready to ship" looks like on mobile, and hold the line on it.

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

  • Hands-on experience with Maestro or Detox.

  • 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

  • Hands-on experience testing React Native apps.

  • Mobile performance and reliability work (crash reporting, startup time, memory and battery awareness).

  • API and contract testing experience, with a point of view on test data and environment strategy.

Our tech stack

Mobile: TypeScript, React Native, Expo, EAS, GraphQL, Relay, Jest, React Testing Library, Maestro.

Backend: Kotlin, PHP 8 (Symfony), AWS, Postgres, RabbitMQ, Docker, Kubernetes.

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.

Check out our blog!

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