Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
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 infrastruct
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