Staff Backend Engineer - Mimir Query, Databases | USA | Remote

grafanalabs

EE. UU.

A distancia

USD 180.000 - 240.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Fully remote work
30 days annual leave
In-person onboarding
Open-source culture

Descripción de la vacante

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,

Formación

  • 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.

Responsabilidades

  • 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.

Conocimientos

Go
Distributed systems
Multi-tenant design
On-call ownership

Herramientas

Kubernetes
Prometheus

Descripción del empleo

Role overview

A fully remote role is open for a Staff Backend Engineer to join a platform team focused on the query path of a multi-tenant, cloud-hosted observability database serving metrics workloads at hyperscale. The position partners with ingest and storage sub-teams to evolve an open-source metrics system, contributing to both the managed cloud product and the underlying OSS project. The work centers on performance-sensitive distributed systems implemented in Go and running on Kubernetes across major cloud providers.

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 initial concept through production rollout, often partnering with another engineer on larger initiatives
  • 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 immediate scope
Requirements
  • Substantial professional experience building and operating distributed systems in Go
  • Background running multi-tenant services on Kubernetes, ideally across more than one major cloud provider
  • Hands-on work with high-volume telemetry or large-scale data systems
  • Ability to lead projects end-to-end and influence technical roadmap decisions
  • Comfort participating in on-call rotations and taking ownership of production services in operation
Nice to have
  • Familiarity with open-source observability tooling such as Prometheus and related query layers
  • Prior contributions to open-source communities
Benefits and work setup
  • Fully remote work arrangement with team members distributed globally
  • Annual leave entitlement of 30 days, including three reserved company-wide shutdown days
  • In-person onboarding program designed to help new hires ramp up
  • Transparent culture with defined career growth pathways, autonomy-driven team structure, and an open-source-rooted operating style
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