Remote Senior Backend Engineer - AI-Powered Database & Analytics

grafanalabs

United States

Remote

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Restricted Stock Units
Fully remote role
In-person onboarding

Job summary

Grafana Labs is hiring for a senior role to build the storage layer of a new general-purpose database powering an AI-native data intelligence system. The team operates a high-autonomy skunkworks project across multiple cloud providers, with a focus on scalable ingestion, query planning, and storage formats.

You will own parts of the database, shape a multi-tenant architecture, and develop APIs for AI agents and internal tools.

Qualifications

  • Senior-level experience designing and building database internals such as query planning, distributed execution, ingestion pipelines, or storage formats.
  • Experience building cloud-native systems that span multiple providers and separate compute from storage.
  • Ability to write production-quality code in languages common to database or systems engineering work.
  • Strong collaboration across product, infrastructure, and research teams and open-source values.

Responsibilities

  • Own one or more parts of the database and design/operate ingestion, query planning, distributed execution, data formats, and storage formats.
  • Define and ship architecture for a multi-tenant database service including isolation, quotas, audit logs, and background jobs.
  • Build APIs and interfaces for AI agents, developer tools, and internal applications to retrieve context quickly.
  • Collaborate with product and infra teams to balance rapid experimentation with reliability as the system moves to production.
  • Operate the system with observability tooling and on-call readiness.
  • Make pragmatic architectural decisions as the platform evolves from prototype to managed service.

Skills

Database internals
Cloud-native
Cross-team collaboration
Production-grade code

Job description

Grafana Labs is hiring for a senior role to build the storage layer of a new general-purpose database powering an AI-native data intelligence system. The team operates a high-autonomy skunkworks project across multiple cloud providers, with a focus on scalable ingestion, query planning, and storage formats.

You will own parts of the database, shape a multi-tenant architecture, and develop APIs for AI agents and internal tools.

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