Senior Mobile Quality Engineer

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 the fastest-growing tech companies in the UK
• Profitable since 2017
• Backed by top investors including Balderton Capital and Goldman 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.

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 Type Script 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.

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 (Git Hub 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…