Position Description Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.
A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Manager Consulting Delivery (QA) Position: Technical Manager + People Manager for QA/QE

Experience:
14+ Years (minimum 5+ years leading QA/QE teams, with hands-on technical depth) Category: Quality Engineering / Test Automation / Delivery Management Shift: General Shift, with overlap with US onsite counterparts as required

Location:
Chennai Position ID: Employment Type: Full-time, Permanent Education Qualification: B.
E./B.
Tech/MCA or equivalent in Computer Science, IT, or a related discipline Position Description: We are looking for a hands-on Technical Manager and People Manager to lead an enthusiastic QA/QE team with strong AI awareness. Our current model is automation-heavy but still involves a lot of manual intervention. The role requires a clear understanding of the team's current technical challenges and the ability to transform it into a modern, AI-first Quality Engineering team through smarter automation and better engineering practices. Every Advantage release must go out on time and certified, with zero escaped regression defects and no last-minute surprises. The leader we want thinks like the client and acts like the client, holding quality to the standard the customer experiences in production, and treats customer delight as the measure of success. You will own the transformation of the QA/QE function and treat quality as an engineering discipline, building it into the pipeline, the code and the environment rather than testing it in at the end. You will drive disciplined flaky test management, faster pipelines through test sharding, parallel execution and test impact analysis, ephemeral Cloud environments that are spun up on demand and destroyed once testing is done, and a shift-left and shift-right approach in which production monitoring feeds back into test strategy. You will also strengthen performance and regression engineering so that quality improves with every release. You will make release and investment decisions from data such as flake rate, pipeline duration, defect leakage and DORA-style delivery metrics. You will act as a trusted quality advisor to leadership and the client, translating technical quality signals into business risk and release confidence, and balance speed, quality and cost, including cloud environment spend and automation maintenance effort. You will also bring the team along, building the skills, habits and confidence it needs to work this way. Your future duties and responsibilities Responsibilities Delivery and Release Ownership
• Own on-time, high-quality delivery of Advantage releases with zero regression issues, and be accountable for the quality outcome the customer experiences.
• Think like the client and act like the client: view quality from the customer's business perspective, anticipate what matters to them and make release decisions accordingly.
• Lead release certification end to end from the QA side, owning readiness assessment, quality gates, exit criteria, go/no-go inputs and sign-off. Step into an RTE-style role when required to coordinate across teams and keep releases on track.
• Own QA planning, capacity and delivery commitments across Agile sprints, Program Increments and feature releases, ensuring smooth delivery to UAT and Production and timely resolution of client issues. Quality Strategy and Governance
• Own the regression and performance testing strategy and its outcomes, covering scope, coverage, risk-based prioritization and continuous optimization of suites to remove redundancy and improve effectiveness.
• Define quality standards,



governance and a metrics-driven improvement framework (defect leakage, regression cycle time, automation reliability, pipeline duration, defect detection effectiveness, cost of quality), and use the data to drive decisions.
• Set the direction for performance engineering, ensuring workload models, benchmarks and bottleneck analysis give early confidence in scalability and stability before release.
• Maintain clear, current documentation in Confluence, including QA strategy, release certification records, runbooks, test environment guides and lessons learned, so knowledge is shared and not held by individuals. Technical Leadership and Transformation
• Take ownership of chronic reliability and speed issues such as flaky tests, recurring suite failures and long-running pipelines. Diagnose systemic root causes, set stabilization and optimization priorities, and hold the team accountable for sustained improvement in reliability and execution time.
• Periodically audit the automation tech stack, frameworks and tooling, assess fitness, maintainability and cost, and set the direction to upgrade or transform when it is justified. Make these decisions based on value, not change for its own sake.
• Lead the transformation of test environments from PDC to Cloud (Azure/AWS), enabling on-demand environments that are spun up for testing and destroyed once done, in partnership with DevOps and with cost optimization in mind.
• Champion AI-driven Quality Engineering across test design, automation, failure triage and maintenance, with measurable productivity and cycle-time gains.
• Drive continuous testing and quality gates in CI/CD, working with DevOps to make releases faster and more predictable.
• Foster a culture of innovation, continuously evaluating emerging tools and practices and bringing in those that improve outcomes. Stakeholder and People Leadership
• Partner with Product Engineering, Product Management, DevOps and onsite counterparts to surface quality risks early, and escalate risks to leadership with clear mitigation options.
• Communicate quality status, delivery risks and improvement plans to senior leadership and client stakeholders through clear presentations and dashboards.
• Build and lead a high-performing QA/QE team by setting goals, coaching, developing technical depth and succession, managing performance and fostering a quality-first culture of accountability and ownership. Required Qualifications To Be Successful In This Role Must-Have Skills
• 14+ years of IT experience, with strong experience leading QA/QE teams and delivering large-scale programs (US state and local government experience preferred).
• Proven track record of release ownership and certification with consistently low regression leakage.
• Proven experience transforming a QA team into a contemporary, automation-first and AI-enabled Quality Engineering team.
• Strong people management skills, including team building, coaching, performance management, conflict resolution and capacity planning.
• Management

skills:
planning and forecasting, budgeting and cost control, risk and issue management, vendor and partner management, stakeholder and expectation management, and decision-making under pressure.
• Hands-on technical depth to guide the team on diagnosing and fixing flaky tests, unstable automation and slow CI/CD pipelines.
• Experience assessing automation tech stacks and frameworks and recommending upgrade or transformation paths.
• Large-scale test automation experience.
• Test Automation: Selenium WebDriver, Playwright; programming and scripting in Java, Python, JavaScript, SQL.
• Test Management: Jira, Xray.
• Documentation and collaboration: Confluence, with strong skills in writing and maintaining QA strategies, process documents, runbooks, release certification records and knowledge-base content.




• CI/CD and DevOps: Jenkins, GitHub, Cloud (Azure/AWS) DevOps Pipelines.
• AI-assisted testing: GitHub Copilot, AI-powered test generation, self-healing and test optimization tools.
• Monitoring, observability and code coverage: Grafana, SigNoz, JaCoCo.
• Test data management, including data setup, masking and refresh strategies for reliable, repeatable regression runs.
• Azure fundamentals for testing environments: on-demand provisioning and teardown, and exposure to PDC-to-cloud migration.
• Performance testing: Apache JMeter, LoadRunner or Gatling, with the ability to interpret results and drive tuning recommendations.
• Regression strategy and optimization, risk-based testing and API testing (REST/SOAP).
• Agile/SAFe delivery experience, including RTE-style release coordination, risk management and stakeholder communication.
• Dashboarding and reporting tools: Power BI, Jira dashboards, for tracking quality, delivery and automation metrics.
• Presentation and reporting

skills:
building clear, executive-ready presentations (PowerPoint) and management reports that turn quality data into decisions.
• Excel proficiency: advanced Excel (pivot tables, formulas, charts, dashboards) for metrics analysis, capacity and cost tracking, and status reporting.
• Strong written and verbal communication skills; partner and multi-geography team management. Good-to-Have Skills
• Monitoring and observability: Splunk, Dynatrace.
• Infrastructure as Code and containers for test environments: Terraform/Bicep/ARM, Docker, Kubernetes/AKS.
• Code quality: SonarQube, CAST.
• Database testing: Oracle, Microsoft SQL Server, data validation.
• Accessibility testing: WCAG 2.1/2.2, AXE/Evinced Tools.
• Service virtualization.
• Leading innovation: participating in hackathons and encouraging and enabling the team to participate, turning ideas into practical improvements.
• Thought leadership: conference talks, blogs, internal communities of practice or patents.
• LLM and agentic testing, plus AI governance for data handling.
• Security testing awareness and compliance exposure (StateRAMP/NIST), since these separate government-experienced candidates.
• Contribution beyond delivery: experience with DEI practices and CSR initiatives, and similar organizational contributions.
• Cloud or testing certifications (Azure, ISTQB, SAFe).
• Experience with multi-location, multi-customer, multi-language delivery.
• Experience with enterprise ERP/government platforms (financial, procurement, HR systems), since Advantage is in that space. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace current opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team—one of the largest IT and business consulting services firms in the world.

📌 MCD - Technical Manager + People Manager for QA/QE (Chennai)
🏢 CGI
📍 Chennai