LEAD ADMINISTRATOR L1
Splunk Observability Engineer
We are building a next‑generation Enterprise Observability Platform using Splunk Enterprise, ITSI, and Splunk Observability Cloud (O11y) for our clients. We are seeking a Splunk O11Y- Observability Engineer to lead the design, deployment, and enablement of observability capabilities across applications, infrastructure, and cloud environments.
This role focuses on instrumentation, telemetry pipeline engineering, service modeling, APM rollout, and onboarding new teams into the observability ecosystem. The engineer will work closely with application owners, SRE, DevOps, and platform engineering teams to deliver full‑stack visibility and accelerate observability adoption.
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Key Responsibilities
Observability Architecture & Implementation
- Design and implement observability solutions using Splunk Observability Cloud (APM, Infrastructure Monitoring, RUM, Log Observer).
- Build and optimize OpenTelemetry (OTel) collector pipelines for metrics, traces, and logs.
- Define instrumentation strategies for applications (auto‑instrumentation, SDKs, agents).
- Develop service maps, dependency graphs, and distributed tracing configurations.
Application & Service Onboarding
- Partner with application teams to onboard services into O11y 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.
ITSI & Splunk Core Integration
- Implement ITSI service models, KPIs, correlation searches, and glass tables.
- Integrate O11y telemetry with Splunk Enterprise and ITSI for unified service health.
- Collaborate with Splunk Core SMEs to align ingestion, retention, and data modeling.
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Required Skills & Experience
Technical Skills
- Hands‑on experience implementing Splunk Observability Cloud (APM, Infra Monitoring, RUM, Log Observer).
- Strong understanding of OpenTelemetry (collectors, processors, exporters, instrumentation).
- Experience with distributed tracing, span analysis, and service dependency mapping.
- 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).
Implementation & Architecture Skills
- Experience designing observability solutions for microservices, APIs, and distributed systems.
- Ability to guide teams through instrumentation and telemetry onboarding.
- Strong understanding of SLIs/SLOs, service health scoring, and reliability engineering.
Source: the employer's careers page. Last checked 2026-10-16. Posted 2026-10-14.
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