обновлено 2 дня назад
Head of Quality Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Quality Engineering (AI) (PHP/Kotlin/Go/Python): Owning engineering quality across a fintech organisation by improving SLOs, incident follow-ups, quality gates, CI pipelines, and testing practices with an accent on hands-on automation and AI-assisted quality tooling. Focus on building quality engineering capability, reducing incident rates, introducing performance testing, and deploying AI agents for test failure triage and production observation.
Location: London, United Kingdom; hybrid work with the option to work from home on Mondays and Fridays, and office attendance on other days
Company
is a fintech company building technology for consumer loans, credit cards, and car finance across the UK and US.
What you will do
- Own engineering quality across the organisation while enabling individual engineering teams to deliver reliable software.
- Monitor and improve SLO performance, introduce systematic performance testing, and ensure quality initiatives are completed.
- Own incident follow-ups, identify quality hotspots and risks, and recommend remediation.
- Hire and manage approximately two Quality Engineers and deploy them into engineering teams.
- Drive quality practices across the SDLC, including shift-left testing, quality guilds, and roadmap initiatives.
- Develop and introduce AI-assisted testing, test failure triage, and production observation tools.
Requirements
- At least 7 years of experience in quality-related roles and a track record of running organisation-wide QA initiatives.
- Hands-on experience testing backend and frontend systems, including functional, unit, performance, and accessibility testing.
- Experience line-managing a small team and managing senior stakeholders.
- Experience with B2C products at scale, serving millions of users.
- Experience improving CI/CD test reliability through flakiness reduction, parallelisation, artifact management, and runtime control.
- Experience shipping AI tooling into a quality process and explaining its impact on team workflows.
Nice to have
- Experience with Datadog, Sentry, incident.io, SLOs, or similar tools and processes.
- Experience in financial services or another regulated B2C environment.
- Mobile application testing experience with Maestro, native iOS/Android, or React Native.
Culture & Benefits
- Opportunity to improve products used by millions of customers across the UK and US.
- High autonomy in deciding how to improve quality across the organisation.
- Opportunity to work on emerging AI applications for software quality.
- Fast-moving environment with direct decision-making and limited organisational layers.
- Equity, private health insurance, and in-office lunches Tuesday through Thursday.
Hiring process
- Screening call with the Talent Team.
- Hiring Manager, VP of Engineering, and technical interviews.
- Final-stage interview with the CTO.
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