Responsibilities
- Design, implement, test, and operate backend services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and system administration.
- Build a scalable multi-tenant SaaS architecture with tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
- Develop APIs and service interfaces for AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings.
- Partner across product and infrastructure to balance rapid experimentation with long-term reliability as the project moves to production.
- Instrument and operate services with metrics, logs, traces, alerts, dashboards, and observability tooling.
- Contribute to architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
- Take ownership of scalable, maintainable AI solutions aligned with real user workflows.
Requirements
- Experience building production-grade, user-facing software systems that are actively used by customers or users.
- Experience with LLMs, prompt engineering, and applications powered by GenAI.
- Exposure to cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Ability to work autonomously through ambiguity, iterate quickly, make pragmatic architectural decisions, and collaborate effectively.
- Preferred experience with agent frameworks or multi-agent workflows.
- Preferred experience as a data analyst or with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks.
- Preferred experience building tools for data engineering.
Benefits
- 100% remote work for candidates in the U.S. or Canada, excluding Quebec residents.
- In-person onboarding is provided.
- 30 days of annual leave per year, including 3 Grafana Shutdown Days, subject to local legislation.
- Equity and bonus benefits may be available.
- Career growth pathways and a transparent, collaborative global culture.
Tech Stack
Categories
About Grafana
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions, while getting the visibility they need to run AI systems reliably and at scale. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,400+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.