2 days ago
Remote, United Kingdom +4 moreStaff+
Responsibilities
- Design, implement, test, and operate backend services for context ingestion, indexing, storage, retrieval orchestration, API access, source configuration, and administration.
- Build the architecture for a scalable multi-tenant SaaS service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
- Develop APIs and service interfaces that let AI agents, MCP tools, CLIs, and internal applications retrieve context, provenance, confidence signals, and warnings.
- Make practical product and infrastructure tradeoffs as the system evolves from prototype to production.
- Instrument and operate services using metrics, logs, traces, alerts, dashboards, and observability tools.
- Shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for the new product area.
- Take ownership of AI solutions and contribute effectively across teams in a highly autonomous environment.
Requirements
- Solid experience building production-grade, user-facing software systems.
- Experience delivering software into production that is actively used by customers or users.
- Familiarity with AI technologies and frameworks, including LLMs, prompt engineering, and GenAI-powered applications.
- Experience working in cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Ability to work through ambiguity, define scope, make pragmatic architectural decisions, iterate quickly, and communicate effectively.
- 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
- 100% remote work with applicants considered in Spain, Sweden, the UK, Ireland, and Germany.
- In-person onboarding and a remote-first, asynchronous working culture.
- Equity, bonus where applicable, and other company benefits.
- 30 days of annual leave per year, including three Grafana Shutdown Days, subject to local legislation.
- Career growth pathways, transparent communication, empowered teams, and a global collaborative 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.