Reliability & Observability Analyst I
Core
Analyze operational signals, improve incident quality, and support AIOps-enabled automation for 24/7 HPC Data Center Operations.
Role type
Entry-level Reliability & Observability Analyst (Level 1)
Builds
Operational reliability and detection quality for high-performance compute infrastructure
Domain
Data Center Operations / High-Performance Computing
Deliverable
dashboards & analysis
Required skills
Incident analysis, signal validation, alert quality assessment, metrics/log analysis, Linux systems, networking basics, observability platforms (Splunk, Datadog, Prometheus), AIOps concepts, automation artifact reading, trend analysis
Preferred skills
SRE concepts (MTTR/MTTD), cross-functional collaboration
Technologies
Splunk, Datadog, Prometheus, Python, Bash
Responsibilities
Analyze incidents and validate operational signals, assess alert quality and identify monitoring gaps, review and validate automated insights from AIOps tools, analyze incident trends and system behaviors, assist with minor updates to automation artifacts under guidance
Seniority
Entry-level, hands-on IC