Staff Site Reliability Engineer- Splunk Expert

Workforce Identity Cloud

Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities—like reducing costs, and doing more for your customers.

If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools.

Position Overview

We are seeking a highly technical Staff Site Reliability Engineer with deep expertise in Splunk and Grafana to own and evolve our observability ecosystem. In this role, you will move beyond simple monitoring to architect a comprehensive, scalable telemetry platform. You will be our subject-matter expert in Splunk optimisation, ensuring our logging architecture is performant, cost-effective, and deeply integrated with our automated workflows.

You will treat infrastructure as code—utilising Terraform and strong coding proficiency in Go, Python, or Ruby—to automate the deployment of agents and collectors across complex distributed systems.

Key Responsibilities

• Splunk Architecture & Optimisation: Lead the design and tuning of Splunk environments. Optimise indexer performance, search efficiency, and data models to ensure rapid troubleshooting and cost-efficiency.


• Advanced Visualisation: Architect and maintain sophisticated Grafana dashboards that correlate disparate data sources into a single pane of glass for real-time system health.


• Automated Infrastructure: Design, build, and maintain scalable observability infrastructure using tools like Terraform.


• Pipeline Engineering: Optimise the collection, processing, and storage of telemetry data (Metrics, Logs, Traces) to ensure high reliability and low latency.


• Workflow Automation: Develop custom Splunk workflows and integrations that trigger automated responses to system events, reducing Mean Time to Resolution (MTTR).


• Incident Response: Participate in on-call rotations and lead post-incident reviews to drive systemic improvements through "observability-driven development."

Required Skills & Experience (The Essentials)

• Splunk Mastery: Deep, hands-on experience with Splunk administration, search optimisation (SPL), and architecting complex data pipelines. You know how to make Splunk "hum" at scale.


• Grafana Expertise: Proven ability to build actionable, intuitive dashboards in Grafana that go beyond simple charts to provide deep operational insights.


• SRE Mindset: Minimum 8+ years of experience in an SRE, DevOps, or Systems Engineering role with a focus on high-availability systems.


• Programming Proficiency: Strong coding skills in Go, Python, or Ruby for building internal tools and automating observability workflows.


• Telemetry Standards: Hands-on experience with OpenTelemetry (OTel), Prometheus, or similar frameworks for instrumenting applications.


• Distributed Systems: Deep understanding of Linux internals, networking (TCP/IP, DNS, Load Balancing), and container orchestration (Kubernetes/EKS).

Bonus Skills (The "Nice-to-Haves")

• Tracing: Implementation of distributed tracing (Jaeger, Tempo, or Honeycomb) to visualise request flow across microservices.


• Security Observability: Experience using Splunk for security orchestration (SOAR) or SIEM-related workflows.


• Cloud Platforms: Experience managing observability native tools within AWS, Azure, or GCP.

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