Responsibilities
- Design, implement, test, and operate backend services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and administration.
- Build the multi-tenant SaaS architecture, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
- Create 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 product moves from prototype to production.
- Instrument services with metrics, logs, traces, alerts, and dashboards and use observability tools to improve reliability.
- Shape architecture, storage choices, service boundaries, API contracts, deployment patterns, and engineering practices for the new product area.
- Take ownership of AI solutions that are scalable, maintainable, and aligned with real user workflows.
- Collaborate effectively across product, infrastructure, and engineering teams.
Requirements
- Experience building production-grade, user-facing software systems.
- Experience with LLMs, prompt engineering, and applications powered by GenAI.
- A proven track record of delivering software that reaches production and is actively used by customers or users.
- Exposure to cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Ability to work independently through ambiguity, iterate quickly, define scope, and make pragmatic architectural decisions.
- Strong communication and collaboration skills.
- Experience with agent frameworks or multi-agent workflows is a bonus.
- Experience as a data analyst or with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks is a bonus.
- Experience building tools for data engineering is a bonus.
Benefits
- 100% remote role open to applicants in Spain, Sweden, the UK, Ireland, or Germany.
- In-person onboarding is provided.
- 30 days of annual leave per year, including 3 Grafana Shutdown Days, subject to local legislation.
- Equity and bonus may be available.
- Career growth pathways, transparent communication, and an autonomy-focused remote 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.