2 months 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 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 system evolves from prototype to production-grade SaaS.
- Instrument and operate services using metrics, logs, traces, alerts, dashboards, and observability tools.
- Shape architecture, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
- Collaborate across product, infrastructure, and engineering teams and take ownership of scalable, maintainable AI solutions.
Requirements
- Experience building production-grade, user-facing software systems and delivering software actively used by customers or users.
- Strong ownership, initiative, communication, and ability to make pragmatic decisions in ambiguous, fast-moving environments.
- 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.
- Preferred: experience with agent frameworks or multi-agent workflows.
- Preferred: experience as a data analyst or with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks.
- Preferred: experience building tools for data engineering.
Benefits
- Remote-first, 100% remote work with applicants considered in Spain, Sweden, the UK, Ireland, and Germany.
- Equity, bonus where applicable, and country-specific benefits in addition to base compensation.
- 30 days of annual leave per year, including three Grafana Shutdown Days, subject to local legislation.
- In-person onboarding and regular remote video collaboration with mostly asynchronous written work.
- Career growth pathways, transparent communication, high autonomy, and an open-source-oriented 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.