Software_Engineer_in_Test-Manager

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

• QA Strategy & Leadership
• Define and implement enterprise-wide QA strategy aligned with business and engineering objectives.
• Lead and mentor QA teams, fostering a culture of quality, accountability, and continuous improvement.
• Own high-complexity quality initiatives across multiple projects or product lines.
• Establish best practices for quality governance, risk management, and release readiness.
• Test Architecture & Automation
• Architect, design, and maintain scalable test automation frameworks.
• Drive automation-first strategy across UI, API, data, and integration layers.
• Develop robust test strategies for multi-tiered, distributed, and cloud-based systems.
• Ensure comprehensive test coverage including functional, regression, performance, and security testing.
• Technical Oversight
• Analyze complex enterprise systems and develop optimized manual and automated testing solutions.
• Provide accurate effort estimations for testing activities.
• Review test results, analyze defects, and recommend corrective actions.
• Ensure version control, branching strategies, and CI/CD integration are aligned with QA processes.
• Demonstrate mastery in object-oriented design principles, test framework architecture, and SDLC processes.
• Cloud & Enterprise Systems Quality
• Lead testing efforts for cloud-native applications and multi-tier architectures.
• Ensure validation across distributed data systems, APIs, microservices, and enterprise integrations.
• Support DevOps and continuous testing practices within CI/CD pipelines.
• Stakeholder & Cross-Functional Collaboration
• Act as a key quality advocate across Engineering, Product, and Business stakeholders.
• Communicate quality metrics, risks, and release readiness to leadership.
• Drive transparency through quality dashboards and KPIs.
• Serve as Product SME or specialist across one or more product lines.
• Continuous Improvement & Efficiency
• Continuously optimize QA processes to improve speed, efficiency, and release quality.
• Identify gaps and implement automation or process improvements.
• Stay up to date with evolving development technologies and testing tools.
  

• 10+ years of experience in QA and/or software development.
• 3+ years of managerial or team leadership experience.
• Proven expertise in designing and maintaining complex test automation frameworks.
• Mastery of multiple programming languages used in automation (e.g., Java, Python, JavaScript, etc.).
• Strong understanding of:
• Object-Oriented Design patterns
• Data structures
• Version control and branching strategies (Git-based workflows)
• SDLC and Agile methodologies
• Experience working in Agile/Scrum environments.
• Hands-on experience with JIRA or similar SDLC tools.
• Strong analytical, estimation, and problem-solving skills.
• Excellent communication and stakeholder management capabilities.
  

• Bachelor’s degree in Computer Science or related field.
• Proven experience building and scaling QA functions in enterprise environments.
• Experience testing cloud-native applications (AWS/Azure/GCP).
• Exposure to data engineering, analytics, or AI/ML platforms.
• Experience integrating automated testing into CI/CD pipelines.
• Track record of improving release quality metrics in large-scale programs.
  

• Experience leading QA for enterprise data and cloud transformation programs.
• Strong DevOps and continuous testing mindset.
• Proven ability to scale automation across multiple teams.
• Experience managing distributed or global QA teams.
• Strong leadership presence with ability to influence senior stakeholders.