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 knowledge. Shape its architecture as it develops from internal experimentation into a production SaaS product.

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.

What you'll do

• Build services for context ingestion, indexing, retrieval, APIs, source configuration, and administration
• Design a scalable multi-tenant SaaS foundation with tenant isolation, usage tracking, quotas, audit logs, and background jobs
• 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
• Experience with LLMs, prompt engineering, or GenAI-powered applications
• Practical, iterative approach to prototyping and product development
• Ability to take ownership, work through ambiguity, and communicate effectively
• Experience in cloud-native environments such as AWS, GCP, or Azure
• Experience using observability tools to troubleshoot systems

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