We are seeking a highly technical
ObservabilitySite Reliability Engineer with a specialty in Google Cloud, to own and expand our Observability ecosystem into GCP. 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.
- GCP Observabilty Engineering: Optimize the collection, processing, and storage of Observabilty data to ensure high reliability and low latency of our Splunk and Grafana 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)GKE: Minimum 5+ Experience scaling and managing observability in a Google Cloud platform. Visualization: Expertise in creating intuitive, actionable Splunk or Grafana dashboards that correlate data across multiple sources.SRE Mindset: Minimum 3+ years of experience in an SRE, DevOps, or Systems Engineering role with a focus on high-availability systems.- Programming Proficiency: Strong coding skills in Python, 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/GKE).
- 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.
- Grafana Loki: Experience in migrating Splunk to Grafana Loki
Other Cloud Platforms: Experience managing observability native tools within AWS.
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.
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Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. 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.
The annual base salary range for this position for candidates located in the San Francisco Bay area is between:
$194,000-$267,000 USD
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