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, reliable business data. The role covers ingestion, storage, indexing, and retrieval, while shaping the architecture as the product grows from early experimentation into a production SaaS offering.

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 and build services for context ingestion, indexing, retrieval, APIs, and administration
• Develop a scalable multi-tenant SaaS foundation with tenant isolation, quotas, usage tracking, audit logs, and background jobs
• Build retrieval interfaces for AI agents, MCP tools, CLIs, and internal applications
• Instrument, operate, and improve service reliability using observability tools
• Shape architecture, storage choices, API contracts, and deployment patterns

What we're looking for

• Experience building and operating production-grade software used by customers
• Practical experience with AI technologies, LLMs, prompt engineering, and GenAI applications
• Ability to take ownership, work through ambiguity, and iterate quickly based on feedback
• Experience in cloud-native environments and using observability tools
• 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 per year, including three Grafana shutdown days
• In-person onboarding