SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Okta is seeking an experienced Senior Site Reliability Engineer to join the Emerging Products Group (EPG), which builds highly reliable, scalable, and secure cloud services. This role focuses on designing, building, and operating world-class cloud infrastructure while partnering with software engineers, architects, and product teams.
Key Responsibilities:
Reliability & Operations:
- Design, build, and operate large-scale cloud infrastructure and production services
- Participate in on-call rotation supporting highly available customer-facing systems
- Lead incident response efforts and drive post-incident reviews focused on systemic improvements
- Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets
- Partner with engineering teams to improve service availability, scalability, performance, and resilience
- 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 while maintaining reliability and security
The ideal candidate will embrace an automation-first mindset and operate with speed and urgency while executing with excellence. This is an opportunity for an experienced SRE who enjoys solving complex technical challenges at scale and improving the reliability of production systems.
Requirements:
Technical Excellence:
- Strong experience operating large-scale production services in AWS and/or GCP
- Deep expertise with 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 such as PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar technologies
- Strong understanding of cloud networking fundamentals including DNS, load balancing, ingress, TLS, service networking, and 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
- Experience leading incident response and driving operational improvements
- Deep understanding of reliability engineering concepts including SLIs, SLOs, error budgets, and 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
