Staff Backend Engineer (Go) — Enterprise-Scale, Remote

Grafana Labs; United States; Remote; USD 175,000 - 210,000; Full time

Benefits offered by this job

RSUs

Remote work

Global team

Job summary

Grafana Labs is seeking a Staff Backend Engineer to design and build backend systems powering Grafana Enterprise at scale. You will architect distributed Go services, define APIs, and collaborate with product and UX to shape features for large enterprise customers.

The role emphasizes reliability, multi-tenancy, and security within a remote-first environment with global collaboration. Join a team that values openness, autonomy, and strong code review, contributing to Grafana’s observability

Qualifications

• Deep experience writing production Go services.
• Strong distributed systems fundamentals.
• Experience with multi-tenant environments.
• Proficiency with gRPC/protobuf APIs.
• Database skills: PostgreSQL/MySQL.
• Experience with CI/CD and large-scale pipelines.

Responsibilities

• Design and build backend services powering Grafana Enterprise at scale.
• Architect distributed backend systems in Go for correctness and performance.
• Define APIs and service contracts across boundaries.
• Collaborate with Product and UX to shape features.
• Improve scalability, reliability and multi-tenant support.
• Engage with large enterprise customers to understand requirements.

Skills

Go

Distributed systems

Backend design

gRPC/protobuf

PostgreSQL

MySQL

Kubernetes

CI/CD

OpenTelemetry

Observability

Tools

Kubernetes

Prometheus

OpenTelemetry

CI/CD tools

Job description

Grafana Labs is seeking a Staff Backend Engineer to design and build backend systems powering Grafana Enterprise at scale. You will architect distributed Go services, define APIs, and collaborate with product and UX to shape features for large enterprise customers.

The role emphasizes reliability, multi-tenancy, and security within a remote-first environment with global collaboration. Join a team that values openness, autonomy, and strong code review, contributing to Grafana’s observability