Senior Full Stack Engineer - Databases - Analytics | UK | Remote

As a Staff-level Backend Engineer, you will architect and ship the core backend for Grafana’s new AI-native data context system. You’ll build scalable, multi-tenant services that power context ingestion, storage, retrieval, and agent-facing integrations. You’ll work across product and infrastructure to balance rapid experimentation with long-term reliability, turning prototypes into production-grade SaaS. You’ll operate and observe what you build, shaping architecture and deployment patterns with a highly autonomous, collaborative team. This role offers a chance to influence a strategic initiative that brings observability to AI and enterprise data.

• equity
• bonus
• 30 days annual leave
• Grafana Shutdown Days
• remote-friendly
• global team

• Design, implement, test, and operate context ingestion, indexing, retrieval orchestration, API access, and admin services
• Define and build a scalable multi-tenant SaaS foundation with isolation, quotas, audit logs, and background jobs
• Develop APIs and interfaces for AI agents and internal tools to retrieve context, provenance, and confidence signals
• Collaborate with product and infrastructure teams to balance experimentation speed and long-term reliability
• Instrument services with metrics, logs, traces, alerts, and dashboards to improve reliability
• Contribute to architectural direction, service boundaries, storage choices, and deployment patterns
• Communicate effectively in a dynamic, cross-team environment
• Take ownership of AI solutions to ensure scalability, maintainability, and alignment with user workflows

• Strong engineering skills with production-grade software experience
• AI experience with a practical mindset and real-world applicability
• Ability to release prototypes, collect feedback, and iterate quickly
• Proven initiative and capability to handle ambiguity and define scope
• Collaborative mindset with effective communication
• Experience with LLMs, prompt engineering, and GenAI-powered applications
• Track record of delivering production software used by users
• Exposure to cloud-native environments (AWS, GCP, Azure)
• Experience using observability tools to diagnose and improve systems

• collaborative
• communication
• openness to feedback
• LLMs
• prompt engineering
• GenAI-powered applications