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Okta is seeking a Staff Site Reliability Engineer to design, build, and operate highly scalable, reliable, and secure infrastructure powering production systems across AWS and GCP. This is a technical leadership role focused on driving major reliability and modernization initiatives, including container platform migrations (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). Key responsibilities include partnering with development teams to architect and enable microservice-based applications, implementing infrastructure as code (Terraform, Ansible) to automate provisioning and configuration management, and driving improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems.
You will champion SRE best practices by defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. This role involves leading complex technical projects from conception to completion, managing timelines and technical dependencies across teams. You will mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning, while collaborating with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participation in on-call rotation is expected, using incidents as learning opportunities to enhance systems and processes.
Okta's mission is to secure AI by building trusted, neutral infrastructure that enables organizations to safely embrace this new era. The company operates across 20+ offices worldwide and emphasizes connection, innovation, and social impact.
REQUIREMENTS:
- 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 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)
- Redis experience (must have)
- 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
