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Home / Jobs / Okta

Staff Site Reliability Engineer - Core iDaaS

Okta

Bengaluru, IndiaPosted 1 month ago
Okta logo

Skill Required

SW Eng - Infrastructure-672Site Reliability EngineerSystem DesignSOCMachine LearningVaultNginxAWSObservabilityCD pipelinesGCPEngineeringPostgreSQLKubernetesPrometheusnetworkingGitHub ActionsTerraformsecuritybuildingAnsibleetc.)PythonArgoCDdesignDevOpsGit

Key highlights

  • 8+ years of experience in SRE, DevOps, or Infrastructure Engineering.
  • 3–5 years of hands‑on experience with Kubernetes (EKS/GKE) in production.
  • Bachelor’s degree in Computer Science or equivalent hands‑on experience.
  • Immersive, in‑person onboarding experience.
  • Global community spanning 20+ offices worldwide.

Role overview

Okta is building trusted, neutral infrastructure to secure AI and identity across cloud environments. The role focuses on designing, building, and operating highly scalable, reliable, and secure infrastructure across AWS and GCP, leading major reliability and modernization initiatives, and acting as a technical authority in Kubernetes, cloud infrastructure, and modern CI/CD practices.

Responsibilities

  • Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP.
  • Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments.
  • Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines).
  • Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability.
  • Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers.
  • Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP.
  • Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response.
  • Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams.
  • Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning.
  • Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity).
  • Participate in the on-call rotation, using incidents as learning opportunities to enhance systems and processes.

Requirements

  • Strong hands-on experience architecting and operating cloud-native distributed systems (AWS and GCP).
  • Deep expertise with Kubernetes (EKS and GKE) — design, provisioning, scaling, and advanced troubleshooting in production.
  • Proven experience leading ECS to EKS/GKE migrations and driving microservice enablement initiatives at scale.
  • Proficiency with Infrastructure as Code tools such as Terraform (multi-provider), Ansible, or CloudFormation.
  • Solid coding and scripting ability in Python, Go, or Shell, with a focus on automation, tooling, and operational excellence.
  • Advanced understanding of CI/CD pipelines (ArgoCD, GitLab CI, Spinnaker), Linux systems, and networking fundamentals (Direct Connect/Interconnect, DNS, routing, load balancing).
  • Experience managing databases and caching systems (e.g., RDS/Cloud SQL, Redis/Memorystore, PostgreSQL, MySQL) in cloud environments.
  • Hands‑on experience with observability tools (Prometheus, Grafana, ELK, Loki, OpenTelemetry, Google Cloud Operations) for performance and reliability insights.
  • Working knowledge of container security, secrets management (HashiCorp Vault, AWS Secrets Manager, Google Secret Manager), and compliance in production environments.
  • Strong communication and problem‑solving skills, with demonstrated success leading cross‑team projects and mentoring peers.
  • 8+ years in SRE, DevOps, or Infrastructure Engineering roles.
  • 3–5 years of experience with Kubernetes (EKS/GKE) and related ecosystem tools (Helm, Karpenter, etc.) in production.
  • 3–5 years of experience with AWS and GCP.
  • 3–5 years using Terraform to manage multi‑cloud infrastructure.
  • 5+ years of coding experience in Python, Go, or similar languages.
  • Proven track record leading high‑impact projects, specifically migration projects (ECS → EKS/GKE) and enabling microservice architectures.
  • Experience implementing SLOs/SLIs, performing root cause analyses, and improving operational resilience.
  • Strong Linux and security fundamentals.
  • Bachelor’s degree in Computer Science or equivalent hands‑on experience.

Nice to have

  • Prior work in SaaS or high-scale, cloud-native environments is a strong plus.

Benefits

  • Immersive, in‑person onboarding experience designed to accelerate impact and connect you to the mission and team from day one.
  • Access to programs supporting well‑being, social impact, and talent development and community connection.
  • Global community spanning over 20 offices worldwide.
  • Equal Opportunity Employer with accommodations available for application, interview, and onboarding processes.
  • Commitment to diversity, inclusion, and consideration of applicants with arrest and conviction records.

Additional details

  • Secure Every Identity, from AI to HumanIdentity 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.
  • We are all in on this mission. If you are too, let's talk.
  • 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.
  • If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use the provided form to request an accommodation.

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