2 months ago
Remote, United Kingdom +4 moreStaff+
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 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.
- Partner across product and infrastructure to balance rapid experimentation with long-term reliability as the system moves from prototype to production.
- Instrument and operate services using metrics, logs, traces, alerts, and dashboards to understand behavior and improve reliability.
- 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 real user workflows.
Requirements
- Solid experience building production-grade, user-facing software systems and delivering software actively used by customers or users.
- Experience with AI technologies and frameworks, including LLMs, prompt engineering, and applications powered by GenAI.
- Ability to prototype, gather feedback, iterate quickly, define scope in ambiguous environments, and make pragmatic architectural decisions.
- Experience working in cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Strong communication, collaboration, initiative, ownership, and ability to work effectively across teams.
- Preferred experience with agent frameworks or multi-agent workflows.
- Preferred experience as a data analyst or with data platforms such as Looker, Tableau, PowerBI, Snowflake, or DataBricks.
- Preferred experience building tools for data engineering.
Benefits
- 100% remote work with applicants considered in Spain, Sweden, the UK, Ireland, or Germany.
- In-person onboarding with fellow new Grafanistas.
- Global annual leave policy of 30 days per year, including 3 Grafana Shutdown Days, subject to local legislation.
- Equity, bonus if applicable, and other benefits.
- Career growth pathways, transparent communication, empowered teams, and a collaborative global culture.
Tech Stack
Categories
About Grafana
Grafana Labs builds open-source observability tools and a managed SaaS, Grafana Cloud, used by engineering and SRE teams to monitor, visualize, and analyze telemetry. Its products include Grafana dashboards plus Loki (logs), Tempo (traces), and Mimir (metrics), offered as cloud subscriptions and enterprise software. Privately held and headquartered in New York, it serves customers such as Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce.