Observability Engineer — Build From Scratch (Datadog & PagerDuty)

openloophealth.com; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Flexible Spending/Health Savings

Flexible PTO

401(k) + Company Match

Life Insurance

Job summary

OpenLoop is seeking an Observability Engineer to build our observability practice from scratch. You will establish monitoring, dashboards, and alerting across enterprise systems, and instrument our stack in Datadog with dashboards and alerts for availability and performance.

You will own PagerDuty alerting and work with ITSM to improve incident response. The role involves pulling logs, building integrations, and iterating to improve signal quality across evolving systems.

Qualifications

• 3+ years of experience building observability functions (dashboards, monitors, alerts).
• Scripting and API experience (Python) to pull logs and data from systems.

Responsibilities

• Build the observability practice and define monitoring, alerting, uptime metrics across enterprise systems.
• Instrument systems in Datadog; build dashboards and monitors for availability, capacity, performance and concurrency.
• Own alerting and escalation in PagerDuty; design routing to minimize noise.
• Create visibility where none exists by pulling logs, wiring APIs, or building lightweight integrations.
• Monitor end-to-end business processes across multiple systems to identify and fix process failures.

Skills

Observability development

Python scripting

API integration

Monitoring & alerting

Proactive monitoring

Tools

Datadog

PagerDuty

Job description

OpenLoop is seeking an Observability Engineer to build our observability practice from scratch. You will establish monitoring, dashboards, and alerting across enterprise systems, and instrument our stack in Datadog with dashboards and alerts for availability and performance.

You will own PagerDuty alerting and work with ITSM to improve incident response. The role involves pulling logs, building integrations, and iterating to improve signal quality across evolving systems.