DRC Systems
Observability Engineer
Greenwood Village, Colorado (Onsite)
Only W2 (No H1B, No C2C / Third Party Vendor)
Key Responsibilities
Build, implement and optimize dashboards and monitoring solutions in Grafana, Splunk, or Datadog.
Integrate new data sources and interpret logic files to drive meaningful operational insights.
Partner closely with Platform SRE, DevOps and Operations teams to improve visibility and reliability.
Troubleshoot observability issues, prioritize work independently and make sound technical decisions with limited direction.
Support ongoing enhancement of monitoring standards, metric hygiene and alert frameworks.
Work within established enterprise security and tooling constraints while still pushing for best practices.
Contribute to a collaborative knowledge‑sharing team culture.
Required Experience
Strong proficiency in one of the following: Grafana, Splunk, or Datadog.
Hands‑on experience building dashboards and working with observability toolsets.
Ability to read, understand, and work with logic files and data structures.
Demonstrated troubleshooting skills with clear prioritization and decision‑making frameworks.
Experience in operations‑minded engineering environments (Platform, SRE, DevOps, Ops support).
Understanding of enterprise environments, security boundaries and approved‑tool workflows.
Solid, stable work history (not a job hopper).
Preferred Qualifications
Exposure to Amazon Q or other AI‑agent tools.
General understanding of AI concepts and how they apply to tooling automation.
Broader background across 2–3 observability platforms rather than a single specialization.
Prior experience supporting Ops teams in a monitoring‑focused role.
Full Time
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Only W2 (No H1B, No C2C / Third Party Vendor)
Key Responsibilities
Build, implement and optimize dashboards and monitoring solutions in Grafana, Splunk, or Datadog.
Integrate new data sources and interpret logic files to drive meaningful operational insights.
Partner closely with Platform SRE, DevOps and Operations teams to improve visibility and reliability.
Troubleshoot observability issues, prioritize work independently and make sound technical decisions with limited direction.
Support ongoing enhancement of monitoring standards, metric hygiene and alert frameworks.
Work within established enterprise security and tooling constraints while still pushing for best practices.
Contribute to a collaborative knowledge‑sharing team culture.
Required Experience
Strong proficiency in one of the following: Grafana, Splunk, or Datadog.
Hands‑on experience building dashboards and working with observability toolsets.
Ability to read, understand, and work with logic files and data structures.
Demonstrated troubleshooting skills with clear prioritization and decision‑making frameworks.
Experience in operations‑minded engineering environments (Platform, SRE, DevOps, Ops support).
Understanding of enterprise environments, security boundaries and approved‑tool workflows.
Solid, stable work history (not a job hopper).
Preferred Qualifications
Exposure to Amazon Q or other AI‑agent tools.
General understanding of AI concepts and how they apply to tooling automation.
Broader background across 2–3 observability platforms rather than a single specialization.
Prior experience supporting Ops teams in a monitoring‑focused role.
Full Time
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