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# Splunk Infrastructure Engineer

- **Company:** Okta, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $194,000.0 - $267,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Software Debugging, Low Latency, Data Analytics, Splunk
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e6b942e6f2a85729

## About the Role

Log Management: Minimum 5+ Experience 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.

 * 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. 22 CFR 120.15) upon hire.
 * This person must attend in person onboarding in our San Francisco/Chicago office the first week of employment.

## Description

We are seeking a highly technical Splunk Infrastructure 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., * 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.