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 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 for AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings.
- Make practical product and infrastructure tradeoffs while moving the project from prototype to production.
- Instrument and operate services using metrics, logs, traces, alerts, and dashboards to improve reliability.
- Contribute to architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices.
- Take ownership of AI solutions and collaborate effectively across teams in an ambiguous, autonomous environment.
Requirements
- Experience building production-grade, user-facing software systems and delivering software that is actively used in production.
- Strong engineering ability, including making UI design decisions and solving complex problems with minimal supervision.
- Experience with LLMs, prompt engineering, and applications powered by generative AI.
- Familiarity with AI technologies and frameworks and a practical approach to delivering reliable real-world solutions.
- 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, work through ambiguity, define scope, communicate effectively, accept feedback, and take ownership.
- 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.
- Remote-first collaboration with regular video meetings and mostly asynchronous written work.
- Equity, bonus if applicable, and other benefits.
- In-person onboarding.
- 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.