Senior Site Reliability Engineer

Overview

Senior Site Reliability Engineer on the Bengaluru/India TDI Infrastructure Engineering team, building and operating the Kubernetes-based platform that hosts Okta's internal workflows, with a growing focus on AI-driven workflows in production.

What you'll do

• Build, operate and improve the Kubernetes platform, including cluster management, networking, security posture and day-2 operations
• Develop self-service capabilities, golden paths and automation that let internal teams onboard and operate workflows with less platform expertise
• Support the platform's readiness to host AI-driven internal workflows reliably at scale
• Troubleshoot and resolve production issues, participate in a follow-the-sun on-call rotation shared with SRE peers in the US and India, and drive postmortems for incidents you own
• Contribute to and uphold reliability practices, including SLIs/SLOs, error budgets and operational runbooks
• Improve CI/CD pipelines and infrastructure-as-code practices, including change and release management
• Build and maintain observability and monitoring coverage for the systems you own
• Mentor junior engineers and contribute to design and code reviews
• Collaborate with the India team to align local implementation with the broader global platform strategy

What you'll need

• 5+ years of experience in Site Reliability Engineering, Platform Engineering or Infrastructure Engineering
• Strong hands-on experience with Kubernetes in production, including deployment, networking, security and troubleshooting
• Experience operating large-scale internal infrastructure platforms in a public cloud, preferably AWS
• Solid experience with infrastructure-as-code (Terraform) and CI/CD pipelines (GitHub Actions)
• Strong proficiency in Python or similar scripting and programming languages
• Experience with observability platforms and monitoring tools (Grafana, Splunk, APM or equivalent)
• Comfortable working in a fast-moving, evolving environment with ambiguity around process and tooling
• Effective verbal and written communication skills, with the ability to collaborate across time zones
• Computer Science degree or related field, or equivalent experience

Nice to have

• Exposure to internal developer platform (IDP) concepts or platform-as-a-product thinking
• Hands-on experience with AI agent orchestration, vector databases, model routing or inference infrastructure
• Exposure to or interest in building infrastructure that hosts AI/ML or agentic workflows
• Multi-cloud experience (AWS plus Azure or GCP)
• Service mesh technologies (Istio, Linkerd) or GitOps tooling (ArgoCD, Flux)
• Kubernetes certifications (CKA, CKS, CKAD) or equivalent cloud certifications
• Experience administering an enterprise-scale SCM platform (GitHub, GitLab or equivalent)

Details

• Based in Bengaluru, India
• Flexible hybrid work model; specific in-office expectations will be discussed during the hiring process
• Regular collaboration with SRE peers and engineers globally, so some flexibility in working hours should be expected
• Participation in a follow-the-sun on-call rotation