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Salary: USD 147,000 - 226,600 / annual
Okta is seeking an experienced Senior Site Reliability Engineer to join the Emerging Products Group (EPG). This role focuses on building and operating highly reliable, scalable, and secure cloud services with an automation-first mindset.
Key Responsibilities:
Reliability & Operations:
- Design, build, and operate large-scale cloud infrastructure and production services
- Participate in global on-call rotation supporting highly available customer-facing systems
- Lead incident response efforts and drive post-incident reviews for systemic improvements
- Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets
- Partner with engineering teams to enhance service availability, scalability, performance, and resilience
- Ensure infrastructure and operational practices adhere to FedRAMP compliance and security mandates
- Continuously improve observability through metrics, logging, tracing, dashboards, and alerting
Engineering & Automation:
- Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies
- Eliminate operational toil through automation, tooling, and platform engineering
- Improve deployment safety and operational workflows through CI/CD and GitOps practices
- Collaborate on modernizing existing workloads and aligning them with evolving platform capabilities
- Build self-service platforms, operational guardrails, and automation that improve developer velocity
Collaboration & Technical Contribution:
- Support complex reliability initiatives spanning multiple engineering teams
- Guide engineers in adopting operational best practices and reliability engineering principles
- Mentor junior and mid-level engineers through code reviews, operational guidance, and best practices
- Participate in architecture design and operational decisions through data-driven recommendations
- Drive projects from conception through production rollout and long-term operational ownership
Innovation:
- Explore and apply AI-assisted engineering techniques to improve operational efficiency and incident response
- Identify opportunities to leverage emerging technologies to reduce toil and improve engineering productivity
Tech Stack: Kubernetes (EKS/GKE), Terraform, Helm, Git, ArgoCD, GitOps, Golang, Python, Rust, Datadog, Splunk, Grafana, PostgreSQL, Redis, OpenSearch, Snowflake.
Requirements:
Technical Excellence:
- Strong experience operating large-scale production services in AWS and/or GCP
- Deep expertise with Linux and Kubernetes in production environments
- Experience troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle issues
- Extensive experience with Infrastructure as Code technologies such as Terraform and Helm
- Strong software engineering skills in Golang and/or Python
- Experience building automation and internal engineering platforms
- Experience operating and troubleshooting distributed data platforms (PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar)
- Strong understanding of cloud networking fundamentals (DNS, load balancing, ingress, TLS, service networking, traffic management)
- Experience with observability platforms, monitoring strategies, and production telemetry
- Experience with or strong interest in AI-assisted engineering and operational automation
Operational Excellence:
- Strong expertise operating customer-facing production systems subject to SLAs
- Experience leading incident response and driving operational improvements
- Deep understanding of reliability engineering concepts (SLIs, SLOs, error budgets, capacity planning)
- Strong understanding of CI/CD pipelines, deployment strategies, and automation-first operational practices
- Proven ability to balance reliability, scalability, security, and engineering velocity
Federal Eligibility:
- Must be a US Person (US Citizen or Green Card Holder) to meet FedRAMP compliance and security clearance standards
Security & Compliance:
- Understanding of cloud security fundamentals, IAM, secrets management, and secure infrastructure design
- Experience implementing operational controls and compliance standards (FedRAMP, SOC2, HIPAA) in regulated or security-sensitive government cloud environments is highly preferred
Leadership:
- Demonstrated success contributing to complex engineering initiatives
- Strong collaboration and communication skills
- Experience working effectively within globally distributed engineering organizations
- Ability to influence technical direction through expertise, partnership, and execution
Preferred Qualifications:
- Experience operating SaaS platforms serving large-scale customer workloads
- Experience working within Kubernetes-based microservices environments
- Experience supporting globally distributed production environments
- Experience with GitOps and ArgoCD
- Experience implementing AI-assisted operational tooling or automation workflows
