Sr Mgr Platform Engineering

Overview

Lead the platform, reliability, quality, release, ITGC compliance, automation, AI adoption, and engineering enablement capabilities for the Supply Chain Technology portfolio, establishing a scalable operating model for shared engineering services and accelerating modernization of business-critical supply chain platforms, including cloud migration and technical upgrades.

What you'll do

• Own the strategy, roadmap, operating model, budget inputs, talent plan, and measurable outcomes for Platform Engineering across Supply Chain Technology.
• Lead managers, technical leads, and engineers across Platform Services, FinOps, BI analytics, Release Management, ITGC compliance, AI Adoption, Automation, and QA Automation.
• Partner with application leaders, Enterprise Architecture, Infrastructure, Cybersecurity, IT Risk, Product Management, and business stakeholders to prioritize platform investments.
• Create clear service ownership, engineering standards, controls, metrics, and escalation paths for services used across the SCT portfolio.
• Build a succession and capability-development plan that supports current delivery while preparing the organization for cloud, AI, and automation-led growth.
• Own shared platform capabilities, including DevOps, cloud enablement, developer tooling, integration patterns, observability, and reusable services that reduce duplication and improve delivery speed across SCT.
• Drive cloud cost governance and optimization of cloud infrastructure, as an independent capability or within Platform Services, based on portfolio alignment.
• Expand the reliability function from reactive support toward SLOs, error budgets, observability, resilience, capacity planning, incident prevention, problem management, and measurable reliability improvements.
• Establish dedicated ownership for control evidence, vulnerability remediation, change and access controls, audit readiness, and security certificate management in partnership with Cybersecurity and IT Risk.
• Establish governed AI-assisted engineering use cases, reusable accelerators, adoption metrics, responsible-use controls, and workforce enablement; support customization and upgrades of AI-DLC frameworks.
• Define meaningful metrics, not only reports, and develop actionable dashboards and insights for availability, performance, capacity, quality, cost, delivery flow, and service health; drive action from trend analysis.
• Standardize release readiness, change governance, deployment controls, rollback planning, cross-team communication, and patch management to improve release predictability across applications.
• Build a dedicated automation capability, including Factory AI and UI-driven automation, to automate build, test, deployment, environment provisioning, operational tasks, compliance evidence, and repetitive support activities.
• Lead quality strategy, test automation, functional and non-functional testing, environment and data readiness, defect prevention, and engineering quality gates.

What you'll need

• BE/BTech or equivalent.
• 15+ years in IT, including significant leadership of platform engineering, application engineering, reliability, quality, or shared technology services.
• Experience leading managers and multidisciplinary engineering teams in a global, matrixed enterprise environment.
• Demonstrated success with cloud migration and modernization, preferably Microsoft Azure, including architecture, reliability, security, cost governance, and FinOps practices.
• Strong knowledge of DevSecOps and CI/CD practices using tools such as Azure DevOps, Git, Jenkins, automated testing, infrastructure as code, and observability platforms.
• Working knowledge of API and integration platforms such as Azure API Management, WSO2, plus Java, Oracle, databases, networking, and security fundamentals.
• Experience with SRE, SLOs, incident/problem management, release and change governance, quality engineering, test automation, ITGC, audit readiness, and performance management.
• Ability to influence senior leaders, translate technical investment into business outcomes, manage competing priorities, and communicate risk, options, and decisions clearly.
• Proven ability to hire, coach, retain, and develop high-performing teams and establish clear accountability across distributed groups.

Details

• Location: Pune, India.