J

Observability Engineer

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Jobgether is seeking an Observability Engineer to design and operate large-scale observability platforms, define observability standards, and manage high-volume time-series and log storage systems. The ideal candidate will have 5+ years of experience in SRE, platform engineering, or observability-focused roles, with hands-on ownership of production monitoring systems at scale. Strong expertise with Prometheus, Grafana, and commercial observability platforms is required.

Key Highlights
Design and operate large-scale observability platforms
Define observability standards
Manage high-volume time-series and log storage systems
Key Responsibilities
Design and operate large-scale observability platforms
Define observability standards
Manage high-volume time-series and log storage systems
Develop self-service tooling, dashboards, and reusable templates
Improve incident response workflows
Technical Skills Required
Prometheus Grafana Datadog OpenTelemetry Go Python Java Kubernetes Linux Networking Distributed Systems
Benefits & Perks
Competitive salary
Fully remote work
Comprehensive healthcare coverage
Paid time off and standard leave benefits

Job Description

This role is focused on building and operating the observability backbone that enables engineering teams to understand and trust complex distributed systems. You will design and maintain end-to-end telemetry pipelines across metrics, logs, and traces, ensuring high-quality signals at scale. Working closely with SRE, platform, and product engineering teams, you will turn noisy system data into actionable insights that improve reliability and performance. The environment is highly technical and cloud-native, requiring strong experience across modern observability stacks and SRE practices. You will help define standards for instrumentation, alerting, and SLO-driven operations across the organization. This is a high-impact role where your work directly shapes how systems are monitored, debugged, and improved in production.
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