VP, Test Engineer

BUILD MARKETS. SHAPE ECONOMIES.

At SGX Group, we create markets. We turn ideas into products and expand access to new opportunities. We are building the future of the exchange in-house: from architecture and platforms to the critical systems that power markets. The biggest decisions are still open to people who join us now.

The opportunity

SGX is hiring Senior Test Engineers for Data. In collaboration with the wider test team, the candidate translates SGX’s quality vision into scalable automation capabilities, governance frameworks, delivery guardrails, and leadership that strengthen release confidence, operational resilience, and risk management. As a Senior Test Engineer, the candidate develops junior test engineers, ensures consistent tools, processes and reporting across domains, and advances responsible AI adoption to improve engineering productivity, team effectiveness, and continuous improvement.

What you will do

• Together with the wider test team, define and lead the enterprise test and quality engineering strategy and framework across multiple products, platforms, and transformation programmes, with accountability for quality outcomes, delivery assurance, and risk-based test coverage.
• Lead the test strategy of SGX's data platform and data products, ensuring data completeness, accuracy, and performance across the data platform and products. .
• Oversee, define, and continuously enhance scalable automation platforms, standards, and engineering practices spanning functional, API, integration, performance, and resilience testing.
• In collaboration with the wider test team, improve and govern quality operating frameworks, including test methodology, test data strategy, control traceability, release quality gates, and execution standards.
• Develop thorough, well-structured test scenarios that maximise coverage and minimise the risk of undetected defects.
• Together with the wider test team regularly re-evaluate testing tools against best practices, cloud-based test infrastructure, observability, and AI-enabled engineering practices to improve productivity, defect prevention, and feedback loops across the delivery lifecycle.
• Provide clear executive-level visibility of quality performance, delivery risks, workforce capability, and investment priorities.

What we are looking for

• Minimum 8 years of experience in Quality Engineering, Software Testing, or related disciplines, including at least 5 years managing large-scale testing or quality engineering organisations.
• Must have hands-on experience in data platform and data product environments, including testing data pipelines, ETL/ELT processes, data quality, and data reconciliation.
• Proven experience testing large-scale data migrations, including parallel runs, data reconciliation between legacy and target platforms, and cutover validation.
• Deep expertise in modern quality engineering principles, including automation-first delivery, platform consistency, risk-based coverage, and enterprise-scale testing practices.
• Proven track record of owning quality outcomes and leading test governance across multiple teams or programmes, including test architecture reviews, automation standards, quality gates, and defect governance.
• Strong people leadership experience, with demonstrated success in leading high-performing teams, and coaching practitioners.
• Advanced expertise in modern test automation, performance engineering, and test data tooling, including technologies such as Claude Code or similar AI tools, Tosca, Playwright and Esprow.
• Open mindset and eager to improve existing processes to boost productivity in collaboration with others
• Customer driven mindset, looking beyond requirements and contributing to great products
• Hands-on experience implementing cloud-based test infrastructure and CI/CD quality controls using platforms such as GitHub Actions and AWS CodeBuild.
• Practical understanding of AI-enabled engineering practices.
• Excellent executive communication and stakeholder management skills, with the ability to influence senior leaders and articulate quality risks, trade-offs, and investment priorities in a clear and credible manner.
• Domain Knowledge (Good to Have): Exposure to financial market infrastructure, including securities and derivatives trading, clearing, settlement, market operations, or exchange-related systems.
• kdb+/q (Good to Have): Experience working with or testing kdb+/q-based data platforms, including time-series data, queries, and data validation.
• GCP Data Services (Good to Have): Experience with GCP data services such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage.

About SGX Group

SGX Group is one of the world's most trusted international marketplaces, known for its stability and openness. Anchored in Singapore, we enable price discovery, capital formation and risk management across asset classes, supported by resilient infrastructure and robust clearing. We convene issuers, investors and intermediaries to create and grow markets that stand the test of time. Find out more at www.SGXGroup.com.