Lendable - Head of Quality Engineering
Requirements
• Essential • At least 7 years in quality related roles. • Run a number of QA initiatives across an organisation to improve the quality output across engineering teams. • Proven senior stakeholder management. • Experience working with quality across the stack. You have hands-on experience of testing backends and frontends. From functional to unit, performance and accessibility testing. • Have line managed a small team. • Worked with B2C products at scale (millions of users). • Experience shaping CI/CD pipelines for test reliability (GitHub Actions or similar), including flakiness reduction, parallelisation, artefact management, and runtime control. • Have shipped AI tooling into a quality process — this can be as simple as evaluating, buying and rolling out an off-the-shelf AI testing tool, through to building bespoke agents. You can describe the impact it had on how teams worked. • Proactive, low-ego, and clear communicator, able to chase things down when blocked. • Experience with using Datadog, Sentry or similar for monitoring. • Experience with incident.io or similar incident process. • Have managed SLOs and used them to improve quality. • Experience in financial services or other regulated B2C environments. • Mobile app testing experience (e.g. Maestro, native iOS/Android, React Native).
Responsibilities
• Own the engineering quality of the organisation • Service Level Objectives • Monitor and report on SLO performance. • Engage teams to mature their SLO definitions. • Introduce systematic performance testing in the SDLC. • Ensure initiatives to improve SLO performance are completed. • Own the follow-ups and resolutions from the incident process across engineering. • Ensure follow ups from incidents are completed. • From these and other sources Identify hotspots, catalogue and evaluate risks and recommend remediations. • How you’ll do this • This is not a pure managerial role. You will be engaging with teams, innovating with testing solutions and contributing code to test frameworks and CI pipelines.. • Managing a team • Hiring and managing a team of ~2 Quality Engineers, they will be new hires to the company. • Deploying Quality Engineers into engineering teams to help them improve their quality. • Managing and supporting individuals that are embedded into different teams across the organisation • Driving a Quality Mindset • Evangelising quality across the organisation. • Work with MDs and other senior stakeholders to identify and create solutions to their quality challenges. • Embedding quality thinking into all phases of the SDLC, not just the testing part. • Looking for opportunities to shift-left the testing practices. • Forming a guild of Quality representatives across the organisation. • Running Initiatives • Scoping and inserting quality initiatives onto teams roadmaps. • Championing these initiatives with senior stakeholders • Developing the use of AI into the quality process • Bring tools and processes into the organisation to level-up our testing efficiency using AI. AI testing agents, AI test failure triage agents and AI observers for production environments. • Backend Coding: PHP, Kotlin, GO, Python • Frontend Coding: Typescript, React, React Native, GraphQL, Relay • Testing: PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6 • Observability: Datadog, Sentry, Incident.io, Grafana • Infrastructure: AWS, Docker, Kubernetes, RabbitMQ • Deployment: Argo, Github, Github Actions
Benefits
• See your work matter: Our products are used by millions of customers. Improving quality ensures issues and outages don’t affect a large population across continents. Quality issues also have a direct impact on company revenue. As we scale further, quality plays a big part in our growth. • See your work matter: • High autonomy: You will decide where and how to engage across the organisation to improve quality. You will hire a team of Quality Engineers to deploy into teams. • High autonomy: • 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 have humans in the loop. • Work at the frontier of AI: • An organisation that ships: No layers, no theatre, fast decisions. A fast moving environment that has made the company successful. • An organisation that ships:
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