About the role
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.
Build reliable E2E automation:
Create and maintain mobile E2E suites in Maestro, including the scaffolding around them - test data, device configuration, helpers, reporting.
Integrate suites into CI (GitHub Actions) so engineers get fast, trustworthy feedback on every PR and release candidates carry a signal people actually believe.
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.
Bring AI into the SDLC:
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 suite that looks comprehensive but isn't trustworthy is worse than a smaller one we rely on.
Help shape how the mobile team uses AI-assisted workflows more broadly - prompts, guardrails, review patterns.
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.
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.
2-3+ 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 introducing AI-assisted testing practices (test generation, failure clustering, coverage analytics) with sensible controls around review and trust.
Strong TypeScript and JavaScript - not just writing test scripts, but building helpers, tooling, and debugging into the app when needed.
Experience shaping CI/CD pipelines for test reliability (GitHub Actions or similar), including flakiness reduction, parallelisation, artefact management, and runtime control.
Comfortable with mobile E2E automation, or strong E2E experience on another platform plus a credible plan for getting productive on mobile quickly.
Able to operate independently and drive improvements end-to-end (frameworks, CI, test data, reporting).
Desirable:
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.
Interview process
Quick call with a Recruiter
15 minute cognitive test
Hiring manager interview (30 minutes)
Technical interview (90 minutes)
Culture-add 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
Check out our Glassdoor Reviews