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

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

What you'll bring to the role:

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

Good 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 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)

Location:

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.

#LI_Hybrid

P26103_3598399

The Okta Experience

Supporting Your Well-Being  

Driving Social Impact 

Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please  use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please  click here to view our full NYC AEDT Notice.