2 days 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 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 enable AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings.
- Make practical product and infrastructure tradeoffs as the project evolves from prototype to production.
- Instrument and operate services using metrics, logs, traces, alerts, and dashboards to 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 collaborate effectively across teams in a highly autonomous environment.
Requirements
- Experience building production-grade, user-facing software systems and delivering software actively used by customers or users.
- Strong engineering skills and the ability to solve complex problems, make pragmatic decisions, and work with minimal supervision.
- Familiarity with AI technologies and frameworks, including experience with LLMs, prompt engineering, and GenAI-powered applications.
- Experience iterating quickly through prototypes, feedback, and experimentation in ambiguous environments.
- Exposure to 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
- 100% remote work with applicants considered in Spain, Sweden, the UK, Ireland, or Germany.
- In-person onboarding and a remote-first, asynchronous work culture with regular video meetings.
- 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, and empowered teams.
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.