Responsibilities

• Architect and implement enterprise-grade QA frameworks covering functional, non-functional, performance, security, API, integration, data migration, AI/ML, mobile, accessibility, and IoT testing, aligned with industry standards and client-specific compliance requirements.
• Lead large-scale, multi-vendor testing programs with full accountability for delivery, including scope, schedule, cost, risk, and quality, leveraging predictive analytics, KPI dashboards, and data-driven governance models.
• Design and deploy AI/ML-driven test engineering solutions, including self-healing automation frameworks, intelligent test generation, and predictive defect analytics.
• Drive the adoption of modern QA practices, including shift-left and shift-right testing, chaos engineering, model-based testing (MBT), service virtualization, and continuous testing within DevOps pipelines.
• Integrate DevSecOps practices by embedding security testing (SAST, DAST, IAST), compliance validation, and container security into CI/CD workflows.
• Lead cloud-native and microservices testing strategies, including validation of Kubernetes-based deployments, serverless architectures, and distributed systems with event-driven design.
• Oversee performance engineering at scale, including workload modeling, capacity planning, and resilience testing for high-availability systems.
• Establish test data engineering practices, including synthetic data generation, masking, and secure data provisioning aligned with regulatory frameworks such as GDPR and HIPAA.
• Champion observability-driven testing by integrating monitoring tools (e.g., Prometheus, Grafana, ELK, OpenTelemetry) to enable real-time insights and proactive issue detection.
• Define and enforce enterprise test governance frameworks, ensuring audit readiness, regulatory compliance (ISO 27001, SOC 2), and SLA adherence.
• Lead automation framework engineering, enabling scalable, reusable, and parallelized test execution using tools such as Selenium Grid, Cypress, Playwright, and cloud-based testing platforms.
• Collaborate with stakeholders, including C-suite executives, product owners, architects, and PMOs, to define quality benchmarks, manage risks, and communicate program health.
• Manage and mentor globally distributed QA teams, driving capability development, workforce planning, and continuous upskilling across emerging technologies.
• Oversee vendor partnerships, managed services, and outsourcing models, ensuring delivery excellence and continuous improvement.
• Support pre-sales and solutioning activities by contributing to RFPs, technical proposals, and QA strategy design for new business opportunities.
• Stay ahead of industry trends by evaluating and adopting emerging technologies such as autonomous testing agents, AI-assisted QA, and digital twin–based testing environments.

Requirements

• 7–9 years of progressive experience in software testing, quality engineering, and program delivery, preferably within fintech, telecom, healthcare, insurance, or enterprise IT domains.
• Deep expertise in automation frameworks, API testing, performance engineering, security testing, and cloud-native QA practices.
• Strong experience in microservices and distributed systems testing, including event-driven architectures and message queue validation (e.g., Kafka, RabbitMQ).
• Proven track record of managing large-scale testing programs using Agile, Waterfall, and DevOps methodologies with measurable quality outcomes.
• Hands-on experience with:Automation tools: Selenium, Cypress, Playwright, AppiumCI/CD tools: Jenkins, GitLab, Azure DevOpsTest management platforms: Jira Xray, Zephyr, ALM, ServiceNowPerformance tools: JMeter, LoadRunner, Gatling
• Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation for environment provisioning.
• Strong knowledge of contract testing, service virtualization, and API validation frameworks (REST, GraphQL, gRPC).
• Expertise in predictive QA analytics, risk-based testing, and quality engineering maturity models (e.g., TMMi, CMMI).
• Demonstrated capability in regulatory compliance, audit readiness, and enterprise test governance.
• Exceptional leadership, communication, and stakeholder management skills, with the ability to influence senior leadership.
• Experience managing cross-cultural, globally distributed teams and driving large-scale training and mentoring initiatives.
• Relevant certifications such as PMP, ISTQB Advanced, DevOps, or cloud certifications (AWS/Azure/GCP) are highly desirable.
  
  EA License No: 19C9611
  EA Personnel Reg No: R22108807 Liang Syeh Wei (Shevy)