Observability Engineering Manager — Remote Ireland

Grafana; Ireland; Remote; EUR 117,000 - 137,000; Full time

Job summary

Grafana Labs is seeking an Engineering Manager for Observability based in Ireland with a remote-first approach. You will lead backend and frontend engineers, partnering with product and engineering leadership to ensure Fleet Management, the Kubernetes Helm Chart, and the Instrumentation Hub fit seamlessly into Grafana Cloud.

You’ll mentor teams, nurture psychological safety, and collaborate with go-to-market to drive customer success across time zones and cultures in a global, AI-enabled

Qualifications

• Experience with observability ecosystems and distributed systems.
• Strong leadership and remote team management.
• Excellent cross-functional collaboration and communication.

Responsibilities

• Manage and grow the backend and frontend engineering team in a remote, globally distributed setting.
• Collaborate with go-to-market teams to ensure customer success with the Observability platform.
• Work with product and engineering leadership to integrate Fleet Management, Helm Chart, and Instrumentation Hub into Grafana Cloud workflows.
• Guide projects from ideation through planning, execution and post-launch, delivering high-quality results.
• Foster psychological safety, promote experimentation, and drive a culture of continuous improvement.
• Collaborate across teams to solve customer problems and share learning across the org.

Skills

Observability

OpenTelemetry

Distributed systems

Team leadership

Remote work

AI tooling

Tools

Kubernetes

Fleet Management

Instrumentation Hub

Helm Chart

Job description

Grafana Labs is seeking an Engineering Manager for Observability based in Ireland with a remote-first approach. You will lead backend and frontend engineers, partnering with product and engineering leadership to ensure Fleet Management, the Kubernetes Helm Chart, and the Instrumentation Hub fit seamlessly into Grafana Cloud.

You’ll mentor teams, nurture psychological safety, and collaborate with go-to-market to drive customer success across time zones and cultures in a global, AI-enabled