Lead SDET

This is a senior technical leadership role responsible for quality governance across frontend, middleware, and backend layers of a complex onboarding platform.
You will shape test architecture, API contract testing, data modelling, and quality standards across a multi-layered technical environment.
The role focuses on independently validating quality at every system layer rather than relying on assumptions made upstream.
You will establish delivery standards, evidence requirements, quality gates, and traceability practices that support reliable technical outcomes.
Working closely with QA Analysts, SDETs, and Test Operations teams, you will coordinate execution, resolve dependencies, and address cross-layer discrepancies.
Your work will help transform detailed technical evidence into clear, traceable findings and stakeholder-ready deliverables.
This opportunity is well suited to an experienced QA leader who combines deep technical expertise with strong governance, communication, and mentoring skills.

• 8+ years of proven experience in QA leadership roles spanning multiple testing layers, including frontend, middleware, and backend.
• Demonstrated expertise in API contract testing architecture and governance.
• Practical experience with knowledge graph or entity-relationship data modelling and its application to testing and data traceability.
• Strong understanding of layered system architectures and the importance of independently validating quality at each layer rather than relying on upstream assumptions.
• Strong track record of technical delivery governance, including establishing standards, review processes, and quality gates.
• Deep technical grounding across manual testing, test automation, and systems-level testing, with the ability to guide teams across different QA disciplines.
• Experience mentoring or managing SDETs and QA Analysts.
• Excellent cross-functional leadership, stakeholder communication, and technical coordination skills.
• Experience leading complex, multi-week technical QA, API validation, or security-assessment engagements is strongly preferred.
• Experience establishing evidence and traceability models across complex technical workflows is preferred.
• Familiarity with knowledge graphs, entity-relationship models, or structured technical dependency and evidence modelling is preferred; deep knowledge-graph engineering expertise is not required.
• Strong ability to synthesize complex technical evidence into concise, stakeholder-ready findings and handoff materials.
• Ability to identify technical risks, manage dependencies, resolve discrepancies, and maintain quality across multiple workstreams.