Automation Test Manager (Regression and Performance)
Job reference: 160704
Industry: Information and Communications Technology
Key Responsibilities:
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Manage group of 10 automation engineers from both regression and performance tracks.
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Develop and implement quality assurance strategies, frameworks, and standards across software development projects.
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Design and execute comprehensive test plans, including functional, regression, performance, and API testing.
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Ensure compliance with industry standards, regulatory requirements, and internal governance policies.
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Collaborate with Business Analysts, Project Managers, developers and product managers to define acceptance criteria and ensure test coverage.
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Identify opportunities for process optimization and automation within the testing lifecycle.
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Lead initiatives to improve testing efficiency, reduce cycle times, and enhance product quality.
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Support agile software development practices and contribute to sprint planning, retrospectives, and backlog grooming.
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Work closely with cross-functional teams including software engineers, business analysts, and project managers to align quality goals with business needs.
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Facilitate communication between technical and non-technical stakeholders to ensure shared understanding of quality objectives.
Qualifications:
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Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
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5+ years of experience in software testing, quality assurance, or quality engineering.
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Proficiency in test automation tools for regression and performance (e.g., Tricentis TOSCA, NeoLoad)
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Good understanding of software development methodologies including Agile, DevOps, and CI/CD.
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Experience with configuration tracking, process validation, and risk compliance.
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Familiarity with performance management, business needs analysis, and strategy planning.
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Demonstrated experience in test planning and estimation, quality metrics governance, and defect lifecycle management.
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Experience in team mentoring, capability building, and quality culture transformation.
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Familiarity with AI-assisted testing or productivity tooling is a plus.
