Manager Consulting Delivery- Technical Program Manager- DevOps-Cloud Platform Engineering(12Years)

Position Description: Company Profile: 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. Position: Manager Consulting Delivery- Technical Program Manager- DevOps-Cloud Platform Engineering Experience: 12+Years Category: Software Development/ Engineering Shift: General Shift (Flexibility required for global stakeholder engagements) Location: Bangalore/Hyderabad/Pune/Mumbai Position ID: J1026-0343 Employment Type: Full Time Education Qualification: Bachelor’s degree in computer science or related field or higher with minimum 12 years of relevant experience. Technical Program Manager accountable for delivering the CCOE transformation program: an Operations Control Plane and SaaS operating model for CGI Advantage, serving 50+ State & Local Government clients. The role is AI-first by mandate: the TPM is expected to design, prove, and scale AI-assisted operations across the program. It combines hands-on technical credibility — someone who still builds, prototypes, and reviews code — with large-scale program leadership across engineering, operations, and executive stakeholders, and a demonstrated bias for speed and measurable outcomes. Your future duties and responsibilities: • Plan and run PI cadences: scope, dependencies, capacity, exit criteria, and transparent re-planning across all CCOE workstreams. • Drive wave-based rollouts (e.g., observability across multi-tenant AKS estates) within client change windows and government compliance constraints. • Build funding and business cases spanning multiple internal organizations; force decisions through steering with stated cost of delay. • Referee build-vs-buy and competing-architecture decisions against written criteria; time-box debates and document decisions with revisit conditions. • Lead vendor evaluation and enterprise contract negotiation for platform tooling — pricing, support SLAs, security and compliance terms. • Report program outcomes without spin: MTTR, escalation rate, automation coverage, and SLA adherence. • Partner with operations leadership on workforce transition: reskilling, redeployment, and adoption of new tooling and workflows — including AI literacy and safe, governed use of AI tooling. • Own the AI roadmap for operations: LLM-assisted triage, RAG over runbooks, tickets, and telemetry, agentic remediation, and AI-assisted engineering workflows — from prototype through production with evaluation, guardrails, and cost controls. • Define AI governance with security and compliance: data residency, PII handling, prompt and output logging, human-in-the-loop gates, and model/version change control for government clients. • Drive urgency through time-boxed delivery: bias to 2–4 week proof points, kill or scale decisions on evidence, and visible burn-down of the riskiest unknowns first. Required qualifications to be successful in this role: Must to Have Skills: • Azure platform depth (primary cloud): AKS at multi-tenant production scale, Azure networking (VNet, Private Link, Front Door, App Gateway), Entra ID, Azure Policy and landing-zone/Well-Architected design, autoscaling, tenancy isolation, and cost management (FinOps, reservations, tagging, chargeback). • Azure services breadth: Azure Monitor and Log Analytics (KQL), Managed Grafana, Key Vault, Storage, API Management, Functions and Container Apps, Service Bus/Event Hubs, Azure SQL, and DevOps/GitHub integration. • Observability: Understanding of OpenTelemetry-based stacks (traces, logs, metrics), sampling and retention economics, and alert tuning at scale. • CI/CD and GitOps: Understanding of GitHub Actions, Argo CD, incremental builds, and policy-as-code gates (OPA, Kyverno, Conftest) with container signing and scanning. • Infrastructure-as-code and configuration management: Terraform/OpenTofu, Ansible, and configuration-in Git with drift detection. • Identity and security: Understanding of SSO, RBAC, and JIT access patterns (Entra ID, Keycloak); secrets and certificate lifecycle automation (Key Vault, cert-manager, ACME). • AI and GenAI fundamentals: LLM capabilities and limits, prompt engineering, context engineering, structured output and function/tool calling, fine-tuning vs. prompting trade-offs, token and inference cost management, and latency/quality trade-offs. • RAG and knowledge systems: chunking and embedding strategies, vector and hybrid search (Azure AI Search, pgvector, or equivalent), re-ranking, grounding and citation, retrieval evaluation, and mitigation of hallucination and data leakage. • Agentic and AI-assisted operations: multi-step agents and orchestration frameworks (LangChain/LangGraph, Semantic Kernel, or equivalent), Model Context Protocol (MCP) style tool integration, and evaluation and observability of AI systems (eval harnesses, golden datasets, tracing, drift monitoring). • Understanding of Azure AI stack: Azure OpenAI / Azure AI Foundry, Azure AI Search, model deployment and quota management, private networking for AI endpoints, content safety, and responsible-AI controls. • Hands-on engineering ability: comfortable in Python (and/or Go or TypeScript), Git-based workflows, SQL/KQL, and shipping working prototypes without waiting for a team to be assigned. • Program tooling fluency: PI and agile planning at scale, RICE or equivalent prioritization, and dependency and risk management. Good-to-Have Skills: • 12+ years in technology, including 5+ years running multi-team technical programs (8–15 initiatives) as a TechPM, program lead, or platform delivery lead. • Operations transformation: moving support and operations organizations from reactive firefighting to problem management and SRE practices. • FOSS-biased platform strategy with explicit commercial buy triggers; hands-on vendor MSA negotiation. • Developer platform delivery (e.g., Backstage) and production delivery of AI-assisted operations — LLM assisted triage, RAG-backed knowledge and runbook assistants, and self-healing workflows with measured deflection. • Azure certifications or equivalent demonstrated depth (e.g., AZ-305 Solutions Architect, AZ-400 DevOps Engineer, AI-102 Azure AI Engineer). • Active hands-on builder — personal projects, open-source contributions, or side builds using AI tooling; genuinely passionate about development and fast iteration. • Presenting to executive leadership: funding asks, program reviews, and candid at-risk status narratives. Skills: • Containerization • DevOps Engineering • DevOps Engineering • Docker • Github Actions • Kubernetes • Ansible • DevOps Specialist • English • Machine Learning • Python • Shell Script What you can expect from us: 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 new opportunities, and benefit from expansive industry and technology expertise. You’ll shape you