Observability Analyst

Job Posting Title Observability Analyst Agency 090 OFFICE OF MANAGEMENT AND ENTERPRISE SERV Supervisory Organization IS-CS

Job Posting End Date Refer to the date listed at the top of this posting, if available. Continuous if date is blank.

Note:

Applications will be accepted until 11:59 PM on the day prior to the posting end date above.

Estimated Appointment End Date (Continuous if Blank)

Full/Part-Time Full time

Job Type Regular

• This is a full-time, 40-hour per week position
• Support the Information Services Division
• Position is on-site in Oklahoma City, OK
• The salary for this position is based on education and experience

The Observability Analyst is responsible for day-to-day monitoring, triage, correlation, and first-line coordination with domain teams and the IT Operations Command Center (ITOCC). You will maintain and continuously improve the monitoring and observability capabilities that keep the organization's server, cloud, and network environments healthy. Using Datadog or similar platforms, this role builds meaningful dashboards and alerts and turns raw telemetry into early warning signals that let teams find and fix problems before they impact the business.

You will focus on pattern analysis and hunting silent anomalies, feeding findings into the continuous-improvement loop. This is a hands‑on technical role for someone who enjoys making complex environments visible, understandable, and measurably more reliable.

This is a full-time, 40-hour per week position

Support the Information Services Division

Position is on-site in Oklahoma City, OK

The salary for this position is based on education and experience

• Monitoring & Observability Engineering Design, deploy, and maintain monitoring and observability tooling (Datadog or similar) across server, cloud, and network environments. Instrument infrastructure, applications, and services with metrics, logs, traces, and synthetic checks to provide full-stack Monitoring & Observability Engineering Maintain monitoring and observability tooling (Datadog or similar) across server, cloud, and network environments. Instrument infrastructure, applications, and services with metrics, logs, traces, and synthetic checks to provide full-stack visibility.
  
  Build and maintain dashboards that give clear, role-appropriate visibility into system health for engineers, managers, and leadership. Configure and tune alerting thresholds and escalation policies to catch real issues early while minimizing noise and alert fatigue. Integrate monitoring tools with incident management, ticketing, and on-call notification systems (e.g., Pager Duty, Service Now, Slack).
• IT Health & Continuous Improvement Track and report on key IT health indicators such as uptime, latency, error rates, capacity headroom, and patch/compliance status across multiple environments. Partner with infrastructure, cloud, and network teams to identify recurring issues and drive root-cause fixes rather than repeated firefighting. Support capacity planning by analyzing utilization trends and flagging environments approaching risk thresholds. Contribute to post-incident reviews by providing telemetry, timelines, and health data that clarify what happened and why.
  
  Continuously refine monitoring coverage as new systems, services, and cloud resources are added, retiring stale checks and dashboards.
• Collaboration & Documentation Work closely with server, cloud, network, and application teams to understand what 'healthy' looks like for each environment and translate that into monitoring coverage. Document monitoring standards, runbooks, and dashboard conventions so coverage stays consistent as the environment grows. Train and support other engineers in interpreting dashboards, alerts, and observability data. Evaluate and recommend improvements or additions to the observability toolset as monitoring needs evolve.

Associate's or Bachelor's degree in Information Technology, Computer Science, or related field, or equivalent hands-on experience. 2+ years of experience in infrastructure monitoring, observability, systems…