Splunk Observability Engineer
Shivani SainiRemoteMIDPosted 12d ago
Splunk Observability CloudITSIOpen TelemetrySplunk EnterpriseLinuxUnixPythonBashKubernetesDockerAWSAzure
About the Role
We are building a next-generation Enterprise Observability Platform using Splunk Enterprise, ITSI, and Splunk Observability Cloud for our clients. We are seeking a Splunk Observability Engineer to lead the design, deployment, and enablement of observability capabilities across applications, infrastructure, and cloud environments.
Key Responsibilities
• Design and implement observability solutions using Splunk Observability Cloud (APM, Infrastructure Monitoring, RUM, Log Observer).
• Build and optimize Open Telemetry collector pipelines for metrics, traces, and logs.
• Define instrumentation strategies for applications (auto instrumentation, SDKs, agents).
• Partner with application teams to onboard services into Observability and ITSI.
• Define SLIs/SLOs, KPIs, and service health indicators.
• Build dashboards, detectors, alerts, and anomaly detection rules tailored to each service.
• Ensure consistent tagging, metadata, and observability standards across teams.
• Implement ITSI service models, KPIs, correlation searches, and glass tables.
• Integrate Observability telemetry with Splunk Enterprise and ITSI for unified service health.
• Develop onboarding guides, instrumentation patterns, and observability standards.
• Conduct workshops, demos, and training sessions for engineering teams.
• Provide architectural guidance on observability adoption across the enterprise.
• Work with SRE, DevOps, Cloud, and Application teams to embed observability into CI/CD and deployment workflows.
Requirements
• Hands-on experience implementing Splunk Observability Cloud (APM, Infra Monitoring, RUM, Log Observer).
• Strong understanding of Open Telemetry (collectors, processors, exporters, instrumentation).
• Familiarity with Splunk Enterprise and ITSI for integrated observability use cases.
• Strong Linux/Unix skills and scripting (Python, Bash).
• Experience with Kubernetes, Docker, and cloud platforms (AWS, and Azure).