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Senior Site Reliability Engineer (K8s, Terraform, Python)

Okta - Bengaluru, India - Hybrid - posted 2026-10-06

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Okta is seeking a Senior Site Reliability Engineer to design, build, and operate highly scalable, reliable, and secure infrastructure powering production systems across AWS and GCP. This is a hands-on technical role with significant leadership and mentorship responsibilities. You will lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. You will serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Your work will involve partnering with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Key responsibilities include implementing and managing infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. You will drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems spanning AWS and GCP. You will champion SRE best practices—defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. You will lead complex technical projects from conception to completion, managing timelines and technical dependencies across teams. Mentoring engineers across teams to foster a culture of reliability, automation, and continuous learning is an important part of this role. You will collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity), and participate in the on-call rotation, using incidents as learning opportunities. Okta's mission is to secure every identity, from AI to human. The company builds trusted, neutral infrastructure that enables organizations to safely embrace AI. This role offers the opportunity to do career-defining work on systems with real-world stakes. REQUIREMENTS: - 5+ 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 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 - 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) - 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 - Prior work in SaaS or high-scale, cloud-native environments is a strong plus - Strong Linux and security fundamentals - Bachelor's degree in Computer Science or equivalent hands-on experience

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