Site Reliability Engineer; SRE), Federal- Security and Data Systems

Overview

Staff Site Reliability Engineer (SRE) for Federal
- Security and Data Systems. This role blends software engineering and systems administration to build and maintain highly reliable, scalable, and secure infrastructure for security SaaS offerings. You will automate manual processes, proactively solve complex problems, handle incidents, and participate in on-call rotations.

• Platform & Reliability:
  Design, build, and maintain the core infrastructure underpinning security SaaS offerings, ensuring high availability, performance, and scalability. This includes building and operating tooling for Snowflake data systems.
• Automation:
  Develop robust automation to eliminate toil and ensure consistency across environments, covering infrastructure provisioning, application deployment, and incident response.
• Security & Compliance:
  Work with security teams to embed a security-first mindset and ensure systems and data platforms comply with industry standards.
• Incident Response:
  Participate in on-call rotations, lead root cause analysis, and implement preventative measures to avoid recurrences.
• Collaboration:
  
  Partner with development, data science, and security teams to provide guidance on architectural decisions, best practices, and new service implementations.

• Strong Coding
  
  Skills:
  
  Developer at heart, comfortable writing production-level code for operational challenges.
• Infrastructure as Code (IaC):
  Deep experience with Terraform for provisioning and managing cloud infrastructure.
• Continuous Delivery:
  Familiarity with CI/CD practices and tools, particularly Spinnaker, to automate release pipelines.
• Containerization & Orchestration:
  Expertise with container tech and managing large-scale production clusters with Kubernetes.
• Database Migrations:
  Experience with database schema management tools like Flyway.
• Data Systems:
  Direct experience with large-scale data systems, specifically Snowflake.
• AI/ML Experience (a plus):
  Interest or experience in applying AI/ML to reliability, security, and operational efficiency (e.g., AIOps, predictive analysis).
• Problem-Solving:
  Excellent analytical and proactive approach to identifying and addressing issues.

• Ability to access federal environments or protected federal data. Successful candidate must submit documentation establishing U.S. Person status upon hire (e.g., U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee).
• This role requires in-person onboarding and travel to our San Francisco, CA HQ or Chicago office during the first week of employment.

The annual OTE range for candidates located in California, Colorado, New York, and Washington is between $168,000–$227,000 USD. Actual OTE depends on factors such as skills, qualifications, experience, and work location. Okta offers equity where applicable and benefits including health, dental and vision insurance, 401(k), flexible spending account, and paid leave in accordance with applicable plans. For more details, see our Total Rewards program:

What you can look forward to as a Full-Time Okta employee:

• Amazing Benefits
• Making Social Impact
• Developing Talent and Fostering Connection + Community at Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our platforms provide secure access, authentication, and automation, placing identity at the core of business security and growth.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. Reasonable accommodations are available upon request.