QA 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/Dev Ops-driven environments.
You will collaborate closely with Engineering, Product, Data, and Dev Ops teams to ensure high-quality releases, reduced defects, and predictable delivery outcomes.

Key Responsibilities
1. 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.
2. 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.
3. 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.
4. 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 Dev Ops and continuous testing practices within CI/CD pipelines.
5. 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.
6. 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.

Required Qualifications
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.

Preferred Qualifications
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.
What Will Set You Apart
Experience leading QA for enterprise data and cloud transformation programs.
Strong Dev Ops 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.