Observability Engineer

OpenLoop Health•Des Moines, IA

About The Position

OpenLoop is hiring an Observability Engineer to build its observability practice from scratch. The role will establish how the company monitors systems, alerts on issues, and measures uptime and reliability across enterprise systems. The engineer will use Datadog and PagerDuty, and create visibility for systems with little or no native observability by pulling logs, using APIs, or building lightweight integrations and tools. The position also monitors critical end-to-end business workflows across multiple systems and partners with IT Service Management on incident response, root-cause analysis, and change validation. The engineer will use scripting and AI-assisted development to build solutions quickly and continually improve signal quality in a fast-moving environment with disparate systems and incomplete visibility.

Requirements

3+ years of experience building observability functions, including dashboards, monitors, and alerting.
Hands-on experience with Datadog.
Hands-on experience with PagerDuty.
Scripting and API experience, such as Python, to pull logs and data from systems without native integrations.
A track record of building observability or monitoring capabilities where little existed before.

Nice To Haves

Experience at a startup or high-growth company.
Experience monitoring SaaS business applications, not only infrastructure.
Experience with OpenTelemetry or other log and metrics pipelines.
Experience with ITSM tools and incident or change management, such as Jira Service Management.
Experience using AI-assisted development to build internal tools.

Responsibilities

Define what to monitor, how to alert, and how to measure uptime and reliability across enterprise systems.
Build Datadog dashboards and monitors for availability, capacity, performance, and concurrency limits across SaaS and internal tools.
Design alert routing and escalation in PagerDuty so the appropriate people are notified quickly and with minimal noise.
Create visibility for systems with little or no native observability by pulling logs, using APIs, and building lightweight integrations or tools.
Monitor critical end-to-end workflows across multiple systems to identify and address business process failures.
Partner with IT Service Management on incident response, root-cause analysis, and change validation.
Use scripting and AI-assisted development to build solutions and continually improve observability signal quality.