Staff Backend Engineer - Remote | Distributed Metrics & Query

grafanalabs; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully remote work

30 days annual leave

In-person onboarding

Open-source culture

Job summary

Grafana Labs is seeking a Staff Backend Engineer for a fully remote role on the platform team focusing on the query path of a distributed, cloud-hosted observability database. You will work with ingest and storage squads to evolve an OSS-based metrics system and support both the managed cloud product and the OSS project across major cloud providers.

The role emphasizes Go-based distributed systems, Kubernetes deployments, and performance-sensitive workloads with an emphasis on reliability,

Qualifications

• Substantial professional experience building distributed systems in Go.
• Background running multi-tenant services on Kubernetes.
• Hands-on work with high-volume telemetry or large-scale data systems.

Responsibilities

• Design, build, operate, and maintain services on the query path of a distributed metrics database, owning reliability, performance, and availability targets.
• Drive projects from concept through production rollout, often partnering with another engineer.
• Write and review pull requests and design documents contributed by teammates across the squad.
• Shepherd automated release rollouts and participate in follow-the-sun on-call rotations for the systems you support.
• Fold efficiency and resilience improvements discovered through production operations back into the codebase.
• Engage with adjacent open-source projects and contribute to initiatives beyond the team's scope.

Skills

Go

Distributed systems

Multi-tenant design

On-call ownership

Tools

Kubernetes

Prometheus

Job description

Grafana Labs is seeking a Staff Backend Engineer for a fully remote role on the platform team focusing on the query path of a distributed, cloud-hosted observability database. You will work with ingest and storage squads to evolve an OSS-based metrics system and support both the managed cloud product and the OSS project across major cloud providers.

The role emphasizes Go-based distributed systems, Kubernetes deployments, and performance-sensitive workloads with an emphasis on reliability,