Job Title:  Manager | Automation Testing | Bengaluru Eco space | Engineering | Quality Engineering

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.     

Your work profile

We are seeking a highly experienced Quality Engineering Manager with a strong background in enterprise-scale test automation, QE transformation, and automation architecture. The ideal candidate will have extensive experience in designing and implementing next-generation automation frameworks, leading large QA organizations, driving AI-assisted testing adoption, and managing end-to-end quality engineering initiatives across complex digital transformation programs.

This role requires a hands-on leader capable of architecting automation solutions, leading large transition programs, managing client stakeholders, and building high-performing QE teams.

Role Overview

We are seeking a highly experienced Quality Engineering Manager with a strong background in enterprise-scale test automation, QE transformation, and automation architecture. The ideal candidate will have extensive experience in designing and implementing next-generation automation frameworks, leading large QA organizations, driving AI-assisted testing adoption, and managing end-to-end quality engineering initiatives across complex digital transformation programs.

This role requires a hands-on leader capable of architecting automation solutions, leading large transition programs, managing client stakeholders, and building high-performing QE teams.

Key Responsibilities

QE Leadership & Delivery

• Lead and manage a QE organization comprising 40+ QA and automation engineers across multiple workstreams.
• Define and execute enterprise Quality Engineering strategy aligned with business objectives.
• Own end-to-end quality delivery across Agile, DevOps, CI/CD, and Cloud-native environments.
• Drive large-scale QA transformation initiatives and transition programs from incumbent vendors or legacy delivery models.
• Establish governance, metrics, reporting mechanisms, and quality gates across programs.
• Collaborate with client stakeholders, engineering teams, architects, product owners, and leadership teams.
  
  

Automation Strategy & Architecture

• Architect and implement enterprise-grade End-to-End Test Automation Frameworks.
• Design scalable automation solutions using:
• Selenium with C#
• BDD Frameworks (SpecFlow/Cucumber)
• API Automation Frameworks
• Data-Driven and Hybrid Automation Frameworks
• Cloud-native testing approaches
• Define automation roadmaps and accelerate automation adoption across projects.
• Establish reusable automation assets, frameworks, and accelerators.
• Drive shift-left testing and continuous testing practices.
  
  

DevOps & Engineering Excellence

• Integrate automation suites with CI/CD pipelines.
• Implement test automation in DevOps ecosystems leveraging:
• GitHub
• Git
• Jenkins
• Docker
• Azure DevOps (preferred)
• Enable automated quality gates and release validation practices.
• Establish automated reporting, monitoring, and quality dashboards.
  
  

AI-Assisted Testing

• Lead adoption of AI-powered testing solutions and intelligent test automation practices.
• Implement AI-assisted test generation, self-healing frameworks, test impact analysis, and predictive quality models.
• Evaluate and introduce AI-driven QE tools and accelerators to improve productivity and coverage.
• Drive innovation initiatives leveraging GenAI within Quality Engineering.

People Leadership

• Build, mentor, and lead high-performing QE teams.
• Define career roadmaps, competency models, and capability-building plans.
• Conduct performance management, succession planning, and talent development activities.
• Drive reskilling and upskilling initiatives in automation, AI, and cloud testing.
  
  

KPI & Governance Management

• Own and track key quality metrics including:
• Automation Coverage
• Automation Effectiveness
• Defect Leakage
• Defect Removal Efficiency
• Release Readiness
• Test Execution Effectiveness
• Productivity Improvements
• CI/CD Quality Metrics
• Present quality dashboards and executive summaries to senior client leadership.

Mandatory Technical Skills

Automation & Frameworks

• Selenium C#
• BDD Frameworks (SpecFlow/Cucumber)
• End-to-End Automation Framework Design
• API Automation Testing
• Test Automation Architecture
• Continuous Testing

Cloud & DevOps

• Cloud-native testing experience
• Docker
• Jenkins
• GitHub
• Git
• CI/CD Pipeline Integration
• Test Environment Strategy

Modern QE Practices

• AI-Assisted Testing
• Shift-Left Testing
• Test Data Management
• Service Virtualization
• Quality Engineering Transformation
• Risk-Based Testing

Essential Experience

• 15+ years of overall experience in Quality Engineering and Test Automation.
• Minimum 8+ years managing large QE teams.
• Proven experience managing teams of 40+ resources.
• Demonstrated experience in architecting enterprise-wide automation frameworks.
• Strong hands-on experience with Selenium C# automation solutions.
• Experience delivering QE programs for large-scale digital transformation initiatives.
• Proven track record in leading large transition and transformation engagements.
• Experience working directly with enterprise clients and senior stakeholders.
• Strong understanding of Agile, Scrum, SAFe, and DevOps delivery models.

Preferred Qualifications

• Experience with Azure Cloud or AWS testing ecosystems.
• Exposure to Playwright, Cypress, or modern automation tools.
• Experience with performance, security, and resilience testing strategies.
• ISTQB Advanced Certification or equivalent.
• AI Testing certifications or GenAI experience within QE.

Key Competencies

• Automation Solution Architecture
• Strategic Leadership
• Client Stakeholder Management
• QE Transformation
• Delivery Excellence
• Innovation & AI Adoption
• Talent Development
• Executive Communication
• Large Program Governance
• Transition & Migration Leadership

Education
Bachelor’s degree in computer science, Information Technology, or related field.