# Senior Site Reliability Engineer

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

**Apply**: https://job-boards.greenhouse.io/okta/jobs/8260950?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7cfae72b-4a8

## Description

We are looking for a Senior Site Reliability Engineer 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.

Responsibilities:

- 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

Requirements:

- 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)

## Skills

### Required
- Kubernetes
- Site Reliability Engineering
- Platform Engineering
- Infrastructure Engineering
- AWS
- Terraform
- Python
- CI/CD pipelines
- Observability platforms
- Monitoring tools

### Nice to have
- Internal developer platform (IDP) concepts
- AI agent orchestration
- Vector databases
- Model routing
- Inference infrastructure
- Multi-cloud experience
- Service mesh technologies
- GitOps tooling
- Kubernetes certifications

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/okta/jobs/8260950?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)