# Staff Site Reliability Engineer

**Company**: Okta
**Location**: Bengaluru
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/okta/jobs/8323977?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_12515a7b-9f7

## Description

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.

Responsibilities:

- 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

Requirements:

- 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

## Skills

### Required
- Kubernetes
- Site Reliability Engineering
- Platform Engineering
- Infrastructure Engineering
- Cloud-native architectures
- Infrastructure-as-code
- CI/CD pipelines
- Python
- Observability platforms
- Monitoring tools

### 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 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)

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/okta/jobs/8323977?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)