Staff Site Reliability Engineer - Splunk

Okta; Bellevue (WA); On-site; USD 174,000 - 239,000; Full time

Benefits offered by this job

Health, dental and vision insurance

401(k)

Equity where applicable

Job summary

Okta is hiring a Staff Observability Site Reliability Engineer with a specialty in Splunk to own and evolve our Splunk ecosystem. You will implement scalable observability infrastructure, treat infrastructure as code with Terraform, and code in Go or Python to automate deployment across distributed systems.

Expect on-call responsibilities, post-incident reviews, and collaboration with business partners to deliver reliable data-driven insights.

Qualifications

• Log Management: 5+ years scaling Splunk Cloud (1000+ SVCs) including WLM and HEC optimization.
• Visualization: Create intuitive Splunk dashboards correlating data across sources.
• SRE Mindset: 5+ years in SRE/DevOps or Systems Engineering focused on high-availability systems.

Responsibilities

• Design, build, and maintain scalable observability infrastructure using Terraform.
• Optimize collection, processing, and storage of log data for reliable, low-latency Splunk services.
• Participate in on-call rotations and post-incident reviews to drive observability-driven improvements.

Skills

Splunk Cloud

SRE/DevOps

Go

Kubernetes/EKS

Linux networking

Troubleshooting

Education

Bachelor's degree in CS or related

Tools

Terraform

OpenTelemetry

Vector

Charge-back app

Job description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Position Overview

We are seeking a highly technical Staff Observability Site Reliability Engineer with a specialty in Splunk to own and evolve our Splunk ecosystem. In this role, you will move beyond simple monitoring to delivering a world class, comprehensive, scalable Observability Platform that enables our SRE teams and business partners. You will treat infrastructure as code—utilizing Terraform and strong coding proficiency in Go, Python, or Ruby—to automate the deployment of agents and collectors across complex distributed systems.

Key Responsibilities

• Automated Infrastructure: Design, build, and maintain scalable observability infrastructure using tools like Terraform.
• Splunk Engineering: Optimize the collection, processing, and storage of log data to ensure high reliability and low latency of our Splunk services.
• Incident Response: Participate in on‑call rotations and lead post‑incident reviews to drive systemic improvements and observability‑driven development.
• Automation: Eliminate toil by automating the deployment and scaling of observability agents and collectors.

Required Skills & Experience (The Essentials)

Log Management: Minimum 5+ years scaling and managing Splunk Cloud at scale (1000+ SVCs), including Workload Management (WLM) and HEC optimization.
Visualization: Expertise in creating intuitive, actionable Splunk dashboards that correlate data across multiple sources.
SRE Mindset: Minimum 5+ years of experience in an SRE, DevOps, or Systems Engineering role with a focus on high‑availability systems.

• Programming Proficiency: Strong coding skills in SPL, Go for building internal tools and automating workflows.
• Distributed Systems: Deep understanding of Linux internals, networking (TCP/IP, DNS, Load Balancing), and container orchestration (Kubernetes/EKS).
• Problem Solving: A data‑driven approach to debugging complex, cross‑service performance bottlenecks.

Bonus Skills (The “Nice‑to‑Haves”)

• Telemetry Standards: Hands‑on experience with OpenTelemetry (OTel), Vector, or similar frameworks for instrumenting applications.
• Charge‑back app: Experience in implementing Splunk charge‑back app for usage reporting.

Cloud Platforms

Experience managing observability native tools within AWS or GCP.

Additional requirements

• This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee) upon hire.
• This person must attend in person onboarding in our San Francisco office the first week of employment.

Salary Range

Annual base salary range for candidates located in the San Francisco Bay area: $194,000—$267,000 USD.

Annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington: $174,000—$239,000 USD.

In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit https://rewards.okta.com/us.

Benefits

• Supporting Your Well‑Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

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. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.