Staff DevOps Engineer

We are hiring a Staff DevOps Engineer for the AI Factory product team at Mumbai , responsible for architecting, scaling, and standardizing the cloud and platform foundations that power AI-driven products and internal platforms. This is a senior individual contributor role with org-level technical influence. The Staff DevOps Engineer operates beyond a single product or squad, shaping platform strategy, reliability standards, CI/CD foundations, and cloud cost governance across the AI Factory. The role is hands-on where it matters most, while also acting as a technical authority and escalation point for complex infrastructure, deployment, and reliability challenges. Key Responsibilities • Architect and evolve cloud-native platform foundations supporting AI Factory products and internal platforms • Define and enforce DevOps standards across environments: CI/CD, deployment patterns, observability, security, and cost controls • Design scalable infrastructure patterns for multi-service, multi-environment systems • Act as the final escalation point for complex infrastructure and reliability issue • Own architecture and best practices across AWS / GCP / Azure (multi-cloud exposure) • Design highly available, secure, and cost-efficient infrastructure • Drive reliability engineering practices: SLOs, SLIs, incident response, post-mortems, and resilience planning. • Identify systemic risks early (capacity, cost, security, scaling) and address them proactively • Architect and standardize CI/CD pipelines (GitLab CI, GitHub Actions, Azure DevOps) • Enable safe, repeatable deployments across products and teams • Improve developer experience by reducing friction in build, test, and deployment workflows. • Support release strategies such as blue-green, canary, and rollback mechanisms • Stay hands-on with critical infrastructure code, platform refactors, and high-impact improvements • Review infrastructure designs and pipeline changes for correctness, simplicity, and long-term sustainability • Build foundational tooling that enables multiple teams to move faster and safer • Partner closely with Engineering Managers, Tech Leads, and Product teams to align platform capabilities with delivery needs • Mentor senior DevOps and Platform engineers through reviews, architecture discussions, and coaching • Act as a multiplier, improving outcomes across teams without direct people management