Eco space Manager Automation Testing Bengaluru Eco space Engineering Quality Engineering

Deloitte India (South Asia) · Consulting & Professional Services

Bengaluru, India
Hybrid
Posted today
Apply by 30 Oct
Software Engineering

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About the job

Manager | Automation Testing | Bengaluru Eco space | Engineering | Quality Engineering

Job requisition ID : 114762

Location : Bengaluru Eco space

Entity : Deloitte Touche Tohmatsu India LLP

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

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.

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