2 days ago
Remote, United Kingdom +4 moreStaff+
Responsibilities
- Build, test, operate, and evolve backend services for context ingestion, indexing, retrieval, API access, source configuration, and system administration.
- Design a scalable multi-tenant SaaS architecture including tenant isolation, usage tracking, quotas, audit logs, background jobs, and service boundaries.
- Create APIs and service interfaces that let AI agents, MCP tools, CLIs, and internal applications retrieve context, provenance, confidence signals, and warnings.
- Make architectural and product tradeoffs as the project evolves from prototype and internal dogfooding to production-grade SaaS.
- Instrument and operate services using metrics, logs, traces, alerts, dashboards, and observability tooling.
- Contribute to architecture, storage choices, API contracts, deployment patterns, and engineering practices for the new product area.
- Communicate effectively and take ownership of scalable, maintainable AI solutions aligned with user workflows.
Requirements
- Demonstrated experience building production-grade, user-facing software systems.
- Strong engineering skills and the ability to solve complex problems, make pragmatic decisions, and work with limited supervision.
- Practical experience with AI technologies, LLMs, prompt engineering, and applications powered by generative AI.
- A track record of delivering production software that is actively used by users.
- Experience working in cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Ability to iterate quickly, operate in ambiguity, define scope, take initiative, and collaborate effectively.
- Experience with agent frameworks or multi-agent workflows is a bonus.
- Experience as a data analyst or with data platforms such as Looker, Tableau, PowerBI, Snowflake, or DataBricks is a bonus.
- Experience building tools for data engineering is a bonus.
Benefits
- Remote-first work, with applicants considered in Spain, Sweden, the UK, Ireland, or Germany.
- In-person onboarding and regular collaboration by video, with most work conducted asynchronously in writing.
- Restricted Stock Units are included for all roles.
- 30 days of annual leave per year, including 3 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.