Staff Site Reliability Engineer
Staff-level SRE on Okta's Bengaluru team, acting as the senior on-the-ground technical voice owning the architecture and evolution of Okta's internal Kubernetes platform on AWS — driving reliability, scaling, self-service platform capabilities, and AI workload readiness (model serving, GPU scheduling) — plus follow-the-sun on-call, SLI/SLO standards, IaC/CI-CD maturity, and mentoring.
- Compensation
- Not disclosed
- Location
- Bengaluru, India
- Work setup
- Hybrid
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Sre
- Posted
Skills
Must have
- 8+ years in Site Reliability, Platform, or Infrastructure Engineering with staff-level technical leadership
- Deep hands-on Kubernetes at production scale: architecture, multi-tenancy, networking, security, day-2 operations
- Experience running large-scale internal infrastructure platforms in 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/programming languages
- Experience building or operating infrastructure hosting AI/ML or agentic workflows (model serving, GPU scheduling, orchestration)
- Deep experience with observability platforms and monitoring tools (Grafana, Splunk, APM or equivalent) at scale
- Ability to influence technical direction across teams and geographies without formal authority
- Effective verbal and written communication, with mentoring and distributed-team alignment experience
- Computer Science degree or related field, or equivalent experience
Nice to have
- 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 (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)
Full description
**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 provisions 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 Staff SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization.
As a Staff Site Reliability Engineer on our Bengaluru/India team, you will be the senior-most technical voice on the ground — setting architectural direction for our Kubernetes platform, driving the hardest reliability and scaling problems to resolution, and partnering with Staff/Principal engineers on our US and India teams to keep our global platform strategy coherent. 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:
- 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