AVP, Senior Test Manager, ITD

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Job Summary:

The position requires strong technical expertise in test automation and quality engineering, combined with the ability to mentor teams and influence stakeholders in a large-scale, regulated environment. Practical experience in AI-powered testing is highly preferred, and the successful candidate is expected to act as the owner and advocate of quality throughout the delivery lifecycle.

Job Duties:

Key Responsibilities

• Lead the design, development and long-term maintainability of test automation frameworks/libraries(e.g. Cucumber + Ruby + Selenium)
• Drive the evaluation, pilot and adoption of AI-powered testing capabilities - such as AI-assisted test design and script generation, self-healing automation, intelligent test selection and impact analysis, and AI-based defect triage - to improve coverage, speed and maintainability
• Ensure responsible and controlled use of AI in testing, including model/tool governance, human review of AI-generated artefacts, and traceability to meet regulatory and audit requirements
• Partner with cross-functional teams - including business, application development, DevOps and testing teams - to design and implement fit-for-purpose automation solutions and tooling for complex mission-critical applications such as trading, clearing and risk systems
• Consolidate test libraries, utilities and tools from multiple projects into reusable, well-governed shared assets, reducing duplication and delivering measurable time and cost savings
• Define, publish and enforce testing standards, frameworks and engineering best practices across projects, ensuring alignment with TCOE governance, company standards and regulatory requirements
• Lead continuous improvement and innovation in test automation and quality processes, translating these initiatives into higher application quality, faster time-to-market and sustained cost efficiency
• Provide technical guidance, coaching and mentorship to test engineers and automation specialists, and build team capability in modern and AI-assisted testing practices
• Remain hands-on in project delivery, including test design, scripting and troubleshooting of automation in live project cycles
• Own the overall software quality of assigned applications and releases - functional and non-functional - by defining and enforcing quality gates, entry and exit criteria and release readiness sign-off, and escalating quality risks and blocking issues on a timely basis
• Drive measurable quality improvement through quality metrics (coverage, defect leakage, production escapes, cycle time), root cause analysis and shift-left practices embedded with development, business and DevOps teams

Required Skills & Qualifications

• Bachelor’s or master’s degree in computer science, engineering or a related field
• 8+ years of experience in software testing and quality engineering, including at least 3 years in a technical leadership role
• Strong expertise in testing techniques, test automation tools and frameworks (Cucumber, Selenium, Ruby)
• Proficiency in scripting/programming languages (Ruby, Python, Java); software development experience is preferred
• Experience with CI/CD tooling (Jenkins, GitLab) and cloud or containerised environments
• Solid understanding of SDLC, Agile and DevOps practices, with a shift-left approach to quality
• Excellent problem-solving and analytical skills, with sound risk-based judgement under delivery pressure
• Effective communication and stakeholder management abilities, able to influence technical and business audiences at all levels
• Demonstrated ownership of end-to-end software quality, including quality gates, quality metrics, release readiness assessment and defect governance
• Working knowledge of AI/GenAI concepts and their application to software testing, with a pragmatic view of benefits, limitations and risks

Preferred Skills & Qualifications

• Hands-on experience with AI-powered testing is highly preferred - for example AI/GenAI-assisted test case and script generation, self-healing locators, intelligent test selection and prioritisation, AI-based defect triage or automated test maintenance
• Experience with AI-adaptive automation stacks (e.g. Python + Playwright) and integrating LLM/AI agents or copilots into testing and CI/CD workflows is highly preferred
• Background or experience in financial markets, trading, clearing and/or risk management systems is highly desirable
• Ability to prioritise workload under pressure, managing tight deadlines across multiple concurrent projects

Company Introduction:

ITD SZ

港交所科技（深圳）有限公司，是2016年12月28日于深圳市前海自贸区成立的外商独资企业。

作为港交所的技术子公司，港交所科技（深圳）有限公司主要是为集团及其附属公司提供计算机软件、计算机硬件、信息系统、云存储、云计算、物联网和计算机网络的开发、技术服务、技术咨询、技术转让; 经济信息咨询、企业管理咨询、商务信息咨询、商业信息咨询、信息系统设计、集成、运行维护; 数据库管理、大数据分析; 以承接服务外包方式提供系统应用管理和维护、信息技术支持管理、数据处理等信息技术和业务流程外包服务。