Staff Backend Engineer (Databases, Analytics)

Join Grafana Labs, a leading observability tool provider. As a Staff Backend Engineer, you'll design and build the core backend architecture for an AI-native data intelligence system. You'll work in a high-autonomy team, making decisions and validating ideas early. Enjoy a fully remote work environment, generous vacation, healthcare coverage, retirement planning, and professional development opportunities.

• Concevoir et expédier l'architecture backend principale qui alimente l'ingestion, le stockage de contexte, les API de récupération et les intégrations.
• Aider à définir et à construire l'architecture pour un service multi-locataire, y compris l'isolement des locataires, le suivi de l'utilisation, les quotas.
• Construire des API et des interfaces de service qui permettent aux agents d'IA, aux outils MCP, aux CLIs et aux applications internes de récupérer le contexte pertinent.

• Experience using observability tools to understand and troubleshoot system behavior
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table
• Proven track record of delivering software that made it into production and is actively used by users
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory
• Experience with LLMs, prompt engineering, and building applications powered by GenAI
• Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision
• Experience building tools for data engineering
• 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)