Manager - Test Automation 2

Manager - Test Automation 2

Management Level: Level 7 – Manager

Location: Kochi

Must have skills: Quality Assurance (QA) Strategy/Automation Architecture/AI Transformation

Good to have skills: Experience in Digital Commerce

Experience: 13 - 15 years of experience in Testing

Educational Qualification: Graduation (Accurate educational details should capture)

Job Summary

We are seeking an experienced Manager-Test Automation with 13-15 years of experience in Software Testing, Test Automation, and Quality Assurance Engineering. This role requires a strong blend of technical leadership, testing practice management, solutioning expertise, and client engagement experience to drive quality transformation across complex technology programs. The ideal candidate will be responsible for shaping QA and automation strategies, leading testing teams, supporting RFP responses, presales and solutioning initiatives, and driving the adoption of modern quality engineering practices, including CI/CD, Continuous Testing, and AI-enabled testing. Experience in Digital Commerce, Retail, or other large-scale customer-facing platforms is highly desirable.

Roles and Responsibilities 

• Define and lead enterprise and programme-level Quality Assurance strategies aligned with business objectives, technology architecture, delivery models, and risk. Assess existing testing practices and establish QA transformation roadmaps, target operating models, governance frameworks, engineering standards, and measurable quality outcomes. 
• Design scalable, maintainable, and fit-for-purpose test automation architectures covering UI, API, integration, component, contract, and end-to-end testing. Define automation frameworks, reusable components, test-data strategies, reporting, environment requirements, maintenance approaches, and technology selection based on application architecture, project requirements, scalability, maintainability, and overall QA strategy. 
• Define and implement CI/CD-integrated Quality Assurance and continuous testing strategies that provide fast, reliable, and actionable feedback throughout the software delivery lifecycle. Establish appropriate test execution strategies across pull requests, builds, deployments, integration and staging environments, regression cycles, and production validation. 
• Address and optimise the practical engineering challenges associated with continuous testing, including pipeline efficiency, test reliability, execution time, environment readiness, test-data management, dependencies, parallelisation, selective test execution, quality gates, and pipeline stability. Establish practices such as test impact analysis, risk-based test selection, mocking, tagging, and other optimisation techniques to improve feedback time and pipeline reliability. 
• Define and monitor QA and CI/CD metrics including automation coverage, execution time, test reliability, flakiness, pipeline stability, defect leakage, release confidence, and other relevant engineering and business outcomes. 
• Define and lead Performance Testing strategies for critical applications, services, and customer journeys, covering workload modelling, test planning, scripting, execution, scalability, capacity assessment, performance monitoring, bottleneck identification, detailed test-result analysis, performance optimisation, and performance regression. 
• Lead detailed analysis of Performance Test results by correlating application, infrastructure, and monitoring metrics to identify performance bottlenecks, capacity constraints, resource utilisation issues, and system-level degradation. Translate findings into actionable recommendations for performance optimisation, scalability, capacity planning, and engineering improvements. 
• Define and implement API, Contract, and Component Testing strategies, establishing the appropriate balance across component, contract, API, integration, UI, end-to-end, and performance testing based on application architecture, business risk, and delivery requirements. 
• Define test planning and test case design approaches across programmes, ensuring appropriate test scope, scenarios, coverage, traceability, risk-based prioritisation, test data, environment requirements, entry/exit criteria, and execution strategies aligned with business and technical requirements. 
• Partner with Development, DevOps, Architecture, Product, and Platform Engineering teams within and outside the organisation to embed quality throughout the software development and delivery lifecycle and promote shift-left, continuous testing, and engineering-led quality practices. 
• Lead or significantly contribute to RFP, RFI, RFQ, presales, and client solutioning engagements from a Quality Assurance perspective. Translate client requirements and technology challenges into differentiated QA solutions, including QA strategies, automation architectures, CI/CD and continuous testing approaches, performance strategies, implementation roadmaps, effort estimates, resource models, timelines, assumptions, dependencies, risks, delivery approaches, and expected outcomes. Participate in client discovery sessions, solution workshops, proposal discussions, technical presentations, and solution defence activities. 
• Drive the adoption of AI, GenAI, Agentic, and MCP-based testing across Quality Assurance, identifying and implementing high-value use cases such as test generation, automation code generation, test maintenance, test-data generation, failure and defect analysis, intelligent test selection, test optimisation, and test-result analysis. Lead the evaluation and adoption of AI-enabled solutions capable of planning, generating, executing, analysing, and adapting testing activities. 
• Mentor and develop QA professionals across technical testing, test automation, performance testing, modern testing practices, solutioning, proposals, RFP/RFI/RFQ engagements, and client-facing activities. Provide technical guidance, knowledge sharing, coaching, and career development support while building strong testing capabilities and technical leadership within the team. 
• Act as a trusted Quality Assurance advisor to senior stakeholders and clients, providing technical direction, influencing technology and delivery decisions, communicating risks and recommendations, and aligning QA outcomes with broader business objectives.