Job Title: QA Manager
Function: Quality Assurance & Testing
Location: Hyderabad, India
Experience: 10+ Years
About Anblicks
Anblicks is a cloud data engineering and analytics company that helps enterprises modernize their data platforms using Cloud, Data Engineering, AI/ML, and Advanced Analytics solutions. We deliver scalable, high-performance, and secure systems for global enterprises across industries.
We are seeking a highly experienced QA Manager to lead quality engineering initiatives across complex data, cloud, and enterprise software programs. This role requires a strategic thinker with strong technical depth, automation expertise, and proven leadership capabilities.
Role Summary
The QA Manager will be responsible for defining and driving enterprise-level quality strategy, scaling automation frameworks, and leading high-performing QA teams. The ideal candidate will have deep experience in both manual and automated testing, strong architectural understanding, and experience working in Agile/DevOps-driven environments.
You will collaborate closely with Engineering, Product, Data, and DevOps teams to ensure high-quality releases, reduced defects, and predictable delivery outcomes.
Key Responsibilities
1. QA Strategy & Leadership
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Define and implement enterprise-wide QA strategy aligned with business and engineering objectives.
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Lead and mentor QA teams, fostering a culture of quality, accountability, and continuous improvement.
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Own high-complexity quality initiatives across multiple projects or product lines.
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Establish best practices for quality governance, risk management, and release readiness.
2. Test Architecture & Automation
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Architect, design, and maintain scalable test automation frameworks.
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Drive automation-first strategy across UI, API, data, and integration layers.
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Develop robust test strategies for multi-tiered, distributed, and cloud-based systems.
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Ensure comprehensive test coverage including functional, regression, performance, and security testing.
3. Technical Oversight
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Analyze complex enterprise systems and develop optimized manual and automated testing solutions.
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Provide accurate effort estimations for testing activities.
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Review test results, analyze defects, and recommend corrective actions.
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Ensure version control, branching strategies, and CI/CD integration are aligned with QA processes.
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Demonstrate mastery in object-oriented design principles, test framework architecture, and SDLC processes.
4. Cloud & Enterprise Systems Quality
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Lead testing efforts for cloud-native applications and multi-tier architectures.
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Ensure validation across distributed data systems, APIs, microservices, and enterprise integrations.
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Support DevOps and continuous testing practices within CI/CD pipelines.
5. Stakeholder & Cross-Functional Collaboration
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Act as a key quality advocate across Engineering, Product, and Business stakeholders.
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Communicate quality metrics, risks, and release readiness to leadership.
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Drive transparency through quality dashboards and KPIs.
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Serve as Product SME or specialist across one or more product lines.
6. Continuous Improvement & Efficiency
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Continuously optimize QA processes to improve speed, efficiency, and release quality.
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Identify gaps and implement automation or process improvements.
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Stay up to date with evolving development technologies and testing tools.
Required Qualifications
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10+ years of experience in QA and/or software development.
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3+ years of managerial or team leadership experience.
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Proven expertise in designing and maintaining complex test automation frameworks.
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Mastery of multiple programming languages used in automation (e.g., Java, Python, JavaScript, etc.).
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Strong understanding of:
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Object-Oriented Design patterns
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Data structures
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Version control and branching strategies (Git-based workflows)
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SDLC and Agile methodologies
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Experience working in Agile/Scrum environments.
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Hands-on experience with JIRA or similar SDLC tools.
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Strong analytical, estimation, and problem-solving skills.
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Excellent communication and stakeholder management capabilities.
Preferred Qualifications
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Bachelor’s degree in Computer Science or related field.
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Proven experience building and scaling QA functions in enterprise environments.
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Experience testing cloud-native applications (AWS/Azure/GCP).
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Exposure to data engineering, analytics, or AI/ML platforms.
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Experience integrating automated testing into CI/CD pipelines.
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Track record of improving release quality metrics in large-scale programs.
What Will Set You Apart
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Experience leading QA for enterprise data and cloud transformation programs.
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Strong DevOps and continuous testing mindset.
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Proven ability to scale automation across multiple teams.
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Experience managing distributed or global QA teams.
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Strong leadership presence with ability to influence senior stakeholders.