Senior Site Reliability Engineer
Okta authenticates, authorizes, and provision millions of users a day. Internally, TDI Infrastructure Engineering runs the platforms that our own engineering and business teams build on — hosted on AWS, increasingly Kubernetes-native, and expanding fast to support AI-driven internal workflows. We're looking for a Senior SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization.
As a Senior Site Reliability Engineer on our Bengaluru/India team, you will build and operate the Kubernetes-based platform that hosts internal workflows across the business, with a growing focus on hosting AI-driven workflows reliably in production. You'll report to the Manager, Site Reliability Engineering, and work closely with the rest of the India SRE team, as well as global SRE peers.
What you'll be doing:
Building, operating, and improving our Kubernetes platform — cluster management, networking, security posture, and day-2 operations
Developing self-service capabilities, golden paths, and automation that let internal teams onboard and operate workflows with less platform expertise required
Supporting the platform's readiness to host AI-driven internal workflows reliably at scale
Troubleshooting and resolving production issues, including participating in a follow-the-sun on-call rotation shared with SRE peers in the US and India, and driving postmortems for incidents you own
Contributing to and upholding reliability practices — SLIs/SLOs, error budgets, and operational runbooks
Improving CI/CD pipelines and infrastructure-as-code practices, including change and release management
Building and maintaining observability and monitoring coverage for the systems you own
Mentoring junior engineers and contributing to design and code reviews
Collaborating with the India team to align local implementation with the broader global platform strategy
What you'll bring:
5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering
Strong hands-on experience with Kubernetes in production — 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.
Exposure to or interest in building infrastructure that hosts AI/ML or agentic workflows
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
Good 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
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)
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 regular collaboration with SRE peers and engineers globally, 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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