Staff Backend Engineer

Grafana Labs is the company behind Grafana Cloud, a fully managed observability platform trusted by more than 10,000 organizations. Built on open source and open standards, Grafana Cloud brings AI to observability and observability to AI. Customers include Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. We are a 100% remote company with team members across 40+ countries.

We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. The new team is a mix of seasoned Grafanistas and new hires, operating with a high degree of autonomy and ownership.

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards.
• Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices.

• Strong engineering skills: Solid experience building production-grade, user-facing software systems.
• AI experience with a practical mindset: Familiar with AI technologies and frameworks.
• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users.
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

• Experience building or working with agent frameworks or multi-agent workflows.
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks).
• Experience building tools for data engineering.

In Germany, the Base compensation range for this role is EUR 109,709 - EUR 131,651. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

• 100% Remote, Global Culture
• Scaling Organization
• Transparent Communication
• Innovation-Driven
• Open Source Roots
• Empowered Teams
• Career Growth Pathways
• Approachable Leadership
• Passionate People
• In-Person onboarding
• Balance is Key - We operate a global annual leave policy of 30 days per annum.