Senior Staff DevOps Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff DevOps Engineer based in India. This is a high-impact technical leadership role within a global Infrastructure Platform team responsible for operating large-scale, cloud-native SaaS infrastructure. You will shape the architecture, reliability, security, and scalability of platforms running across AWS, Azure, and GCP. A major focus will be Kubernetes leadership, including EKS, AKS, service mesh, GitOps, and cloud-native deployment patterns. You will also help advance AI-assisted and agentic automation across DevOps and SRE workflows. The role offers significant organizational influence through architecture decisions, technical standards, mentoring, and cross-functional leadership. You’ll work with globally distributed engineering teams across India, the US, EMEA, and APAC in a fast-paced 24×7 environment. This is an individual-contributor leadership position with substantial scope to improve reliability, automation, security, and engineering productivity. Lead cloud infrastructure strategy: Design, build, and evolve resilient, secure, scalable, and cost-efficient multi-account cloud infrastructure, primarily across AWS while supporting Azure and GCP environments. Drive Kubernetes excellence: Serve as a technical authority for production Kubernetes, including EKS and AKS cluster architecture, upgrades, networking, storage, capacity planning, security, multi-tenancy, and troubleshooting. Own service mesh capabilities: Design and operate production service mesh solutions, implementing secure service-to-service communication, mTLS, traffic management, observability, resilience, and progressive delivery. Establish platform standards: Define and promote best practices for Kubernetes, cloud networking, IAM, secrets management, infrastructure governance, workload design, Helm, deployment patterns, and security controls. Advance Infrastructure as Code and GitOps: Automate infrastructure provisioning, deployment, monitoring, incident response, and capacity management using Terraform, CI/CD, GitOps, and related platform engineering practices. Strengthen reliability and operations: Improve SLIs, SLOs, error budgets, observability, runbooks, incident response, on-call practices, post-incident reviews, and systemic remediation across a 24×7 SaaS environment. Support security and compliance: Help implement secure platform controls and maintain infrastructure aligned with requirements such as PCI DSS, including audit readiness, governance, and secure-by-design practices. Champion AI-enabled operations: Introduce LLM-based tooling, AI coding assistants, and agentic workflows to improve infrastructure development, incident triage, root-cause analysis, deployment validation, compliance checks, and operational efficiency. Build safe AI automation: Establish appropriate guardrails, observability, cost controls, and human-in-the-loop practices for production AI and agentic workflows, including solutions built with services such as Amazon Bedrock. Provide technical leadership: Influence engineers across teams and geographies without direct management responsibility, drive consensus on architecture, contribute to critical escalations, and raise engineering standards. Mentor engineering talent: Coach Staff, Senior, and mid-level engineers while documenting reusable patterns, sharing technical knowledge, and encouraging stronger engineering practices. Lead strategic initiatives: Drive cross-functional projects that improve uptime, deployment velocity, cloud consistency, cost efficiency, operational toil, and engineering productivity. Requirements Experience: 12+ years working in 24×7 production operations and highly available SaaS or cloud environments, with prior experience as a technical lead or Staff+ individual contributor in a global engineering organization. Cloud expertise: 5+ years of hands-on experience