# Staff Site Reliability Engineer, Federal (TS/SCI)

**Company**: Okta
**Location**: Washington, DC
**Experience**: staff
**Job type**: full-time
**Salary**: $174,000-$238,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/okta/jobs/8097489?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_356fd601-6f7

## Description

Okta is seeking a Staff Site Reliability Engineer to join the Federal SRE team for the Emerging Products Group (EPG). The successful candidate will help build highly reliable, scalable, and secure cloud services that customers can trust.

**Responsibilities**

- Reliability & Operations:

- Design, build, and operate large-scale cloud infrastructure and production services.

- Participate in on-call rotations 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.

- Technical Leadership:

- Lead complex reliability initiatives spanning multiple engineering teams.

- Guide engineers in adopting operational best practices and reliability engineering principles.

- Mentor engineers through technical collaboration, design reviews, incident analysis, and knowledge sharing.

- Influence architecture and operational decisions through data-driven recommendations and engineering expertise.

- Drive projects from conception through production rollout and long-term operational ownership.

- Innovation:

- Explore and apply AI-assisted engineering techniques to improve operational efficiency, incident response, troubleshooting, and automation.

- Identify opportunities to leverage emerging technologies to reduce toil and improve engineering productivity.

**Requirements**

- 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.

**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.

## Skills

### Required
- Go
- Python
- Terraform
- Kubernetes
- AWS
- GCP
- Infrastructure as Code
- Software Engineering
- Automation
- Observability
- Cloud Networking
- Distributed Data Platforms

### Nice to have
- SaaS platforms
- Kubernetes-based microservices
- Globally distributed production environments
- GitOps
- ArgoCD
- AI-assisted operational tooling

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/okta/jobs/8097489?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)