QA Engineering Lead

Test strategy and technical expertise

* Contribute to the risk-based test strategy set with the Head of QA, and apply it in day-to-day planning: priorities, coverage, regression approach, release exit criteria.

* Implement and evolve the automation framework (web, API, backend) within the QA strategy, with documented standards

* Cover trading-specific scenarios: order lifecycle, FIX and venue connectivity, market simulators, and realistic test data and environments.

* Lead non-functional testing: latency, throughput, market-open load peaks, failover and resilience.

Quality gates, releases and change

* Operate and refine quality gates in CI/CD with DevOps and Application Management, following the criteria agreed in the QA strategy, stopping defective code before production.

* Work with DevOps to automate unit, smoke and E2E testing in the pipelines, fine-tune the E2E scope, and include their results in the nightly build success criteria.

* Own QA input into SCF and HCF releases, including validation, evidence and release sign-off recommendations.

* Run delta testing for critical EBF situations, following the approach agreed in the QA strategy: identify impacted areas quickly, test what matters, and document the residual risk.

* Lead release validation, including version upgrades and database migrations.

Unit testing and shift-left

* Work with engineering leads to make unit testing a mandatory part of PR acceptance, with agreed coverage thresholds and review checks.

* Contribute to Definition of Ready and Done so acceptance criteria are testable before development starts.

Governance, metrics and compliance

* Maintain traceability and test evidence for Secure SDLC, audits and regulated customers.

* Report quality KPIs to the Head of QA: defects escaped to production, coverage, test stability, regression and release stability.

* Support defect management and root cause analysis, turning every production incident into new regression tests.

People and collaboration

* Lead, coach and develop the QA team (including senior QAs), setting clear ownership and accountability.

* Collaborate with Product, Development, Business Analysts and Application Management to align QA with the roadmap and release cycles.

* Promote practical use of AI in testing and continuous improvement of tools and methods.