Staff Backend Engineer, Grafana

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Grafana Labs

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.

📋 Description

• 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, especially as the project moves from prototype to production. • Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. • Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

🎯 Requirements

• Strong engineering skills • AI experience with a practical mindset • Quick iteration and experimentation • Proven initiative • Collaborative attitude • Experience with LLMs, prompt engineering, and building applications powered by GenAI • Proven track record of delivering software that made it into production • Exposure to working in cloud-native environments (AWS, GCP, Azure) • Experience using observability tools to understand and troubleshoot system behavior

🏖️ Benefits

• Equity • Bonus (if applicable) • 30 days annual leave • In-person onboarding for new hires