2 months ago
Remote, United Kingdom +4 moreSenior
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 architecture including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
- Develop 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 system evolves from prototype and internal dogfooding to production-grade SaaS.
- Instrument and operate services using metrics, logs, traces, alerts, dashboards, and observability tools.
- Shape storage choices, service boundaries, API contracts, deployment patterns, and engineering practices for the new product area.
- Take ownership of AI solutions and collaborate effectively across product, infrastructure, and engineering teams.
Requirements
- Experience building production-grade, user-facing software systems that are actively used in production.
- Strong engineering skills and the ability to solve complex problems and make UI design decisions with minimal supervision.
- Familiarity with AI technologies and frameworks, including LLMs, prompt engineering, and applications powered by GenAI.
- Comfort with rapid prototyping, experimentation, feedback collection, iteration, ambiguity, and independent project ownership.
- Experience working in cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Strong communication, collaboration, initiative, and ownership skills.
- 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.
- 100% remote global culture with asynchronous, writing-focused collaboration and regular video meetings.
- In-person onboarding for new employees.
- 30 days of annual leave per year, including 3 Grafana Shutdown Days, subject to local legislation.
- Equity, bonus if applicable, and other company benefits.
- Career growth pathways, transparent communication, empowered teams, and a scaling organization.
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.