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 the architecture for a scalable multi-tenant SaaS service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
- Create APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings.
- Make practical tradeoffs between experimentation and long-term reliability as the project evolves from prototype to production.
- Instrument and operate services using metrics, logs, traces, alerts, dashboards, and observability tools.
- Contribute to architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
- Take ownership of AI solutions and ensure they are scalable, maintainable, and aligned with user workflows.
- Communicate effectively and collaborate across teams in a dynamic, autonomous environment.
Requirements
- Experience building production-grade, user-facing software systems and delivering software actively used by users.
- Strong engineering ability, initiative, ownership, and comfort making architectural decisions under ambiguity.
- Familiarity with AI technologies and frameworks, including experience with LLMs, prompt engineering, and GenAI-powered applications.
- Experience iterating quickly through prototypes, user feedback, and pragmatic experimentation.
- 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, PowerBI, 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 is provided.
- 30 days of annual leave per year, including 3 Grafana Shutdown Days, subject to local legislation.
- Restricted Stock Units (RSUs) are included with all roles.
- Career growth pathways, transparent communication, empowered teams, and a global collaborative culture.
- Spain base compensation is EUR 94,025–112,830; country-specific ranges apply elsewhere.
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.