Responsibilities
- Design, implement, test, and operate backend services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and administration.
- Build a scalable multi-tenant SaaS foundation 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.
- Balance rapid experimentation with long-term reliability as the project evolves from prototype to production.
- Instrument and operate services using metrics, logs, traces, alerts, and dashboards.
- Shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
- Take ownership of AI solutions and ensure they are scalable, maintainable, and aligned with user workflows.
Requirements
- Experience building production-grade, user-facing software systems.
- Strong engineering ability and experience delivering software that reaches production and is actively used by users.
- Experience with LLMs, prompt engineering, and applications powered by generative AI.
- Familiarity with AI technologies and frameworks and a practical approach to shipping reliable solutions.
- 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, make pragmatic architectural decisions, and iterate quickly.
- Effective communication, collaboration, ownership, and initiative.
- Bonus: experience with agent frameworks or multi-agent workflows.
- Bonus: experience as a data analyst or with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks.
- Bonus: experience building tools for data engineering.
Benefits
- Remote opportunity for applicants located in Spain, Sweden, the UK, Ireland, or Germany.
- 100% remote, remote-first work with asynchronous collaboration and regular video meetings.
- In-person onboarding.
- 30 days of annual leave per year, including 3 Grafana Shutdown Days.
- Equity and bonus may be available.
- Career growth pathways and a high-autonomy, collaborative 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.