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 a scalable multi-tenant SaaS foundation with 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 architecture 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 tools.
- Shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
- Collaborate across product, infrastructure, and engineering teams and communicate effectively in a dynamic environment.
- Take ownership of AI solutions and ensure they are scalable, maintainable, and aligned with user workflows.
Requirements
- Experience building production-grade, user-facing software systems and delivering software actively used by customers or users.
- Strong engineering skills with the ability to tackle complex problems, make pragmatic decisions, and work with minimal supervision.
- Familiarity with AI technologies and frameworks, including LLMs, prompt engineering, and applications powered by GenAI.
- Comfort releasing prototypes, collecting feedback, iterating quickly, and working through ambiguity.
- Proven initiative, project ownership, and ability to define scope in loosely defined environments.
- Effective collaboration and communication skills.
- Exposure to cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Experience with agent frameworks or multi-agent workflows is a bonus.
- Experience as a data analyst or with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks is a bonus.
- Experience building tools for data engineering is a bonus.
Benefits
- Remote-first work for applicants located in Spain, Sweden, the UK, Ireland, or Germany, with most work conducted asynchronously in writing.
- Equity, bonus if applicable, and other company benefits.
- In-person onboarding.
- 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.