Principal Consultant - Quality Engineering (QE) transformation

Infosys; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Infosys is seeking a Principal Consultant to lead Quality Engineering transformation initiatives for enterprise clients in London. The role combines consulting expertise, program leadership, automation strategy, and emerging AI capabilities to design scalable quality engineering solutions that improve software quality and accelerate delivery.

The position requires partnering with business and technology leaders to define roadmaps, drive governance, and oversee large, multi-site programs across

Qualifications

• Defined QE strategy for large-scale transformations and modernization.
• Proven experience in test automation and continuous testing practices.
• Experience setting up or leading a Testing Center of Excellence (TCoE).
• Strong knowledge of Agile, DevOps, and CI/CD pipelines.
• Delivery governance, risk and stakeholder management across programs.

Responsibilities

• Lead large-scale QA and testing programs across geographies.
• Define roadmaps, governance metrics, and KPI dashboards.
• Drive modernization, automation adoption, and AI-enabled quality practices.
• Advise on tool selection, platform modernization, and ROI.

Skills

Quality Engineering strategy

Test automation

TCoE governance

Agile/DevOps/CI-CD

Program/Portfolio mgmt

Data warehouse testing

Performance testing

Cloud migration validation

Generative AI & Agentic AI

Executive stakeholder mgmt

Business consulting & digital trans.

Job description

Role

Principal Consultant - Quality Engineering (QE) transformation initiatives

Location

London, UK

Role Summary

The Principal Consultant is responsible for leading Quality Engineering (QE) transformation initiatives for enterprise clients by combining consulting expertise, program leadership, automation strategy, and emerging AI capabilities. The role involves partnering with business stakeholders, technology leaders, and delivery teams to design and implement scalable quality engineering solutions that improve software quality, accelerate delivery, reduce operational risk, and enable digital transformation.

Key Responsibilities

Consulting & Transformation

• Advise clients on Quality Engineering transformation, Testing Center of Excellence (TCoE) setup, operating models, governance frameworks, and quality strategies.
• Conduct maturity assessments and define enterprise roadmaps for testing modernization, automation adoption, and AI-enabled quality practices.
• Collaborate with client leadership to align quality initiatives with business objectives and regulatory requirements.
• Drive process standardization and continuous improvement across large technology portfolios.

Program Leadership & Delivery Governance

• Lead large-scale QA and testing programs across multiple geographies and delivery centers.
• Manage quality planning, risk management, resource forecasting, stakeholder communications, and executive reporting.
• Establish governance mechanisms, quality metrics, KPIs, SLAs, and reporting dashboards to ensure predictable delivery.
• Provide oversight for complex application modernization, cloud migration, merger integration, and digital transformation initiatives.

Quality Engineering & Automation Strategy

• Define enterprise automation strategies spanning functional, API, data, performance, and regression testing.
• Architect reusable automation frameworks using industry-standard tools and technologies.
• Drive continuous testing adoption within Agile and DevOps environments.
• Lead implementation of quality engineering best practices to improve coverage, reduce defects, and shorten release cycles.
• Provide strategic guidance on tool selection, platform modernization, and automation ROI.

AI & Innovation

• Lead adoption of Generative AI and Agentic AI capabilities within quality engineering processes.
• Identify opportunities for AI-based test generation, test data management, defect prediction, root cause analysis, and quality analytics.
• Develop reusable AI accelerators and frameworks to improve productivity and delivery efficiency.
• Evaluate emerging technologies and recommend innovation initiatives that create measurable business value.

Stakeholder & Client Management

• Serve as a trusted advisor to client executives, engineering leaders, architects, and product owners.
• Conduct executive reviews, steering committee discussions, and transformation workshops.
• Drive alignment between onsite and offshore delivery teams to achieve project objectives.
• Present solution recommendations, business cases, and operational improvement plans to senior stakeholders.

Business Development & Practice Growth

• Support proposal development, solution design, estimations, and RFP responses.Identify transformation opportunities that contribute to account growth and client success.
• Develop consulting assets, accelerators, methodologies, and thought leadership materials.
• Mentor consultants, quality engineering leaders, and program managers across engagements.

Required Skills & Expertise

• Quality Engineering and Testing Strategy
• Test Automation and Continuous Testing
• Testing Center of Excellence (TCoE)
• Agile, DevOps, and CI/CD
• Program and Portfolio Management
• Data Warehouse and ETL Testing
• Performance Engineering
• Cloud Migration Validation
• Generative AI and Agentic AI
• Executive Stakeholder Management
• Business Consulting and Digital Transformation

Key Deliverables

• Enterprise Quality Engineering Roadmaps
• Testing Transformation Strategies
• Automation Frameworks and Governance Models
• AI-Driven Quality Engineering Solutions
• Executive Dashboards and KPI Reporting
• Delivery Risk Assessments and Mitigation Plans
• Continuous Improvement Initiatives
• Business Cases and Transformation Recommendations

About Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in over 56 countries to navigate their digital transformation journey through innovative solutions, cloud technologies, AI-powered services, and enterprise modernization. Our commitment to continuous learning, innovation, and excellence enables us to deliver business value at scale while fostering an inclusive and diverse workplace.

Infosys is an equal opportunity employer and encourages applications from diverse backgrounds and experiences.