Senior Site Reliability Engineer

• →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

• 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

• 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)

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 regular collaboration with SRE peers and engineers globally, 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.

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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.

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