Role & responsibilities

Key Responsibilities

Quality Engineering Leadership

- Define and execute the organization's Quality Engineering vision and roadmap.
- Drive shift-left and automation-first quality practices across product teams.
- Establish scalable quality governance frameworks, standards, and best practices.
- Champion innovation, simplification, and continuous improvement initiatives.

Automation Excellence

- Design and implement scalable UI, API, Mobile, and Database automation frameworks.
- Improve automation coverage, execution efficiency, and quality gate effectiveness.
- Integrate automation into CI/CD pipelines using DevOps best practices.
- Drive reusable framework development and test asset standardization.

Performance Engineering

- Lead performance testing strategy including Load, Stress, Spike, Endurance, and Scalability testing.
- Define performance benchmarks, capacity planning, and resilience validation approaches.
- Establish performance engineering practices early in the delivery lifecycle.
- Analyze bottlenecks and recommend optimization solutions.

DevOps & CI/CD

- Collaborate with development and platform teams to implement quality controls within delivery pipelines.
- Integrate automated validation, smoke testing, regression execution, and reporting into Azure DevOps/Jenkins pipelines.
- Implement quality gates and release readiness criteria.
- Promote Continuous Testing practices within DevOps ecosystems.

SAFe Ways of Working

- Enable quality ownership across Agile Release Trains and Product Teams.
- Participate in PI Planning, Inspect & Adapt, System Demos, and Release Governance.
- Drive cross-functional collaboration among Product, Engineering, Architecture, and Operations teams.
- Support Agile transformation initiatives through quality engineering practices.

Innovation & Optimization





- Evaluate emerging technologies including AI-assisted testing and Quality Intelligence solutions.
- Drive productivity improvements through automation, GenAI, and process optimization.
- Identify opportunities to reduce testing effort while increasing product quality.
- Lead Proof of Concepts (POCs) and innovation initiatives.

Metrics & Reporting

- Define and track quality KPIs and operational metrics.
- Measure ROI of automation, performance optimization, and continuous improvement programs.
- Present executive-level dashboards and insights to leadership.
- Drive data-based decisions using measurable outcomes.

Required Skills

Technical Expertise

- Automation: Playwright, Selenium, Cypress, Appium, REST Assured
- Programming: Java, JavaScript/TypeScript
- Performance Testing: JMeter, LoadRunner, Gatling or equivalent
- API Testing & Service Virtualization
- Database Testing & SQL

DevOps & Cloud

- Azure DevOps, Jenkins, GitHub Actions
- CI/CD Pipelines
- Git, Docker, Kubernetes
- Cloud Platforms (Azure/AWS)

Agile & Leadership

- Secure Agile Framework experience
- Test Strategy & Quality Governance
- Stakeholder Management
- Coaching and Mentoring Teams
- Vendor and Offshore Team Leadership

Key Success Metrics

- Automation Coverage %
- Regression Effort Reduction %
- Release Cycle Time Improvement
- Defect Leakage Reduction
- Production Incident Reduction
- CI/CD Quality Gate Compliance %
- Performance SLA Adherence %
- Automated Test Execution Success Rate
- Cost Savings Through Automation
- Team Quality Maturity Improvement Index

Preferred Experience

- 10+ years in Quality Engineering, Automation, and Performance Testing.
- Experience leading large-scale digital transformation programs.
- Proven track record in driving automation, optimization, and quality excellence at enterprise scale.
- Experience implementing AI/GenAI-assisted testing solutions.

📌 Quality Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad