Staff Site Reliability Engineer

• →Owning the architecture and evolution of our Kubernetes platform for the Bengaluru/India team — cluster strategy, multi-tenancy, networking, and security posture — in close coordination with counterparts in the US and India
• →Leading the technical design and rollout of self-service platform capabilities, golden paths, and self-healing patterns that let internal teams ship and operate workflows without deep platform expertise
• →Driving the platform's readiness to host AI-driven internal workflows reliably at scale — model serving, GPU scheduling, and orchestration infrastructure
• →Taking ownership of the hardest, highest-ambiguity reliability problems: complex production incidents, capacity and scaling challenges, and cross-system failure modes
• →Participating in a follow-the-sun on-call rotation shared with SRE peers in the US and India, and driving root-cause resolution and postmortems for the incidents you own
• →Setting technical standards for SLIs/SLOs, error budgets, and on-call practice, and holding the team accountable to them
• →Improving SDLC processes for infrastructure-as-code, including CI/CD pipeline maturity and change/release management
• →Mentoring engineers across the team and raising the technical bar through design reviews, architecture discussions, and hands-on pairing
• →Partnering with architects, security, and product engineering teams to align infrastructure decisions with the business's reliability, security, and delivery needs
• →Representing the Bengaluru/India team in global platform architecture discussions, working as a peer with Staff/Principal-level engineers in the US and India

• 8+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering, with a track record of staff-level technical leadership
• Deep, hands-on expertise in Kubernetes at production scale — architecture, multi-tenancy, networking, security, and day-2 operations
• Experience running large-scale internal infrastructure platforms in a public cloud, preferably AWS
• Strong expertise in cloud-native architectures, infrastructure-as-code (Terraform), and CI/CD pipelines (Github Actions)
• Strong proficiency in Python or similar scripting and programming languages.
• Experience building or operating infrastructure that hosts AI/ML or agentic workflows — model serving, GPU scheduling, or orchestration frameworks
• Deep experience with observability platforms and monitoring tools (Grafana, Splunk, APM, or equivalent) in a large-scale environment
• Demonstrated ability to influence technical direction across teams and geographies without formal authority
• Effective verbal and written communication skills, with experience mentoring engineers and driving technical alignment across distributed teams
• Computer Science degree or related field, or equivalent experience

• Building internal developer platforms (IDPs) with a "platform as a product" mindset
• Hands-on experience with AI agent orchestration, vector databases, model routing, or inference optimization infrastructure
• Multi-cloud experience (AWS plus Azure or GCP)
• Service mesh technologies (Istio, Linkerd) or GitOps tooling (ArgoCD, Flux) in production Kubernetes environments
• Kubernetes certifications (CKA, CKS, CKAD) or equivalent cloud certifications
• Experience managing or administering an enterprise-scale SCM platform (GitHub, GitLab, or equivalent)

This role is based in Bengaluru, India. Okta operates a flexible hybrid work model; specific in-office expectations will be discussed during the hiring process. This role requires close, regular collaboration with SRE peers and engineers in the US and India, so some flexibility in working hours should be expected. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy.

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