Automation Test Manager (Regression and Performance)

  •  Job Reference: 160704
  •  Industry: Information and Communications Technology

Key Responsibilities: 

  • Manage group of 10 automation engineers from both regression and performance tracks.

  • Develop and implement quality assurance strategies, frameworks, and standards across software development projects. 

  • Design and execute comprehensive test plans, including functional, regression, performance, and API testing. 

  • Ensure compliance with industry standards, regulatory requirements, and internal governance policies. 

  • Collaborate with Business Analysts, Project Managers, developers and product managers to define acceptance criteria and ensure test coverage. 

  • Identify opportunities for process optimization and automation within the testing lifecycle. 

  • Lead initiatives to improve testing efficiency, reduce cycle times, and enhance product quality. 

  • Support agile software development practices and contribute to sprint planning, retrospectives, and backlog grooming.

  • Work closely with cross-functional teams including software engineers, business analysts, and project managers to align quality goals with business needs. 

  • Facilitate communication between technical and non-technical stakeholders to ensure shared understanding of quality objectives. 

 

Qualifications: 

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. 

  • 5+ years of experience in software testing, quality assurance, or quality engineering. 

  • Proficiency in test automation tools for regression and performance (e.g., Tricentis TOSCA, NeoLoad) 

  • Good understanding of software development methodologies including Agile, DevOps, and CI/CD. 

  • Experience with configuration tracking, process validation, and risk compliance. 

  • Familiarity with performance management, business needs analysis, and strategy planning.

  • Demonstrated experience in test planning and estimation, quality metrics governance, and defect lifecycle management. 

  • Experience in team mentoring, capability building, and quality culture transformation. 

  • Familiarity with AI-assisted testing or productivity tooling is a plus.