Senior Full Stack Engineer - Databases - Analytics

About this role

Build the first production backend services for an AI-native enterprise context system that helps agents retrieve governed business data and context. Shape the architecture from early experimentation through production SaaS, with ownership over ingestion, storage, retrieval, APIs, and reliability.

About the company

Grafana Labs builds open-source and commercial observability tools for metrics, logs, and traces, centered on Grafana dashboards. It helps teams monitor infrastructure and applications and investigate incidents.

Stack

What you'll do

• Design, build, test, and operate context ingestion, indexing, retrieval, and administration services
• Help build a scalable multi-tenant SaaS foundation with tenant isolation, quotas, usage tracking, and audit logs
• Develop retrieval APIs and integrations for AI agents, MCP tools, CLIs, and internal applications
• Instrument and operate services using metrics, logs, traces, alerts, and dashboards
• Contribute to architecture, storage choices, API contracts, deployment patterns, and engineering practices

What we're looking for

• Experience building production-grade software used by customers
• Practical familiarity with AI technologies and frameworks, including LLMs, prompt engineering, and GenAI applications
• Ability to iterate quickly, work through ambiguity, and take initiative
• Experience working in cloud-native environments
• Experience using observability tools to troubleshoot system behavior
• Strong communication and collaboration skills

Nice to have

• Experience with agent frameworks or multi-agent workflows
• Experience with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks
• Experience building data engineering tools

Benefits

• Equity
• Bonus, if applicable
• 30 days of annual leave, including three Grafana shutdown days
• In-person onboarding