Lendable · London
OtherEngineering & ProductRemoteFullTimeposted 4w ago
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 newest unicorns with a team of just over 700 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.
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.
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
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
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
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
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
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
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
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
Quick call with a Recruiter
15 minute cognitive test
Hiring manager interview (30 minutes)
Technical interview (60 minutes)
Culture interview (60 minutes)
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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