2 days ago
Remote, United Kingdom +4 moreStaff+
Responsibilities
- Design, implement, test, and operate backend services for context ingestion, indexing, storage, retrieval orchestration, API access, source configuration, and system administration.
- Define and 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 that enable AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings.
- Make architectural and product tradeoffs as the system evolves from internal prototype and dogfooding to production-grade SaaS.
- Instrument and operate services using metrics, logs, traces, alerts, dashboards, and observability tooling.
- Contribute to architecture, service boundaries, storage decisions, 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 real user workflows.
Requirements
- Strong experience building production-grade, user-facing software systems and delivering software that is actively used in production.
- Practical experience with AI technologies and frameworks, including LLMs, prompt engineering, and GenAI-powered applications.
- Experience working in cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Ability to work autonomously through ambiguity, define scope, make pragmatic architectural decisions, iterate quickly, and communicate effectively across teams.
- Preferred experience with agent frameworks, multi-agent workflows, data analysis or data platforms, and tools for data engineering.
- Preferred familiarity with Looker, Tableau, Power BI, Snowflake, or Databricks.
Benefits
- 100% remote work with applicants considered in Sweden, Spain, the UK, Ireland, and Germany, with regular video meetings and predominantly asynchronous written work.
- In-person onboarding for new employees.
- 30 days of annual leave per year, including three Grafana Shutdown Days, subject to local legislation.
- Equity, bonus where applicable, and other benefits provided under the applicable country-specific package.
- 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.