Senior Backend Engineer – Analytics

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. We are a 100 percent remote company with team members across 40 plus countries, backed by Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. This is a remote opportunity and we are looking for candidates from the US or Canada. Residents of Quebec are not eligible for this role. At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building a data intelligence system that gives agents reliable, governed access to enterprise context. We are looking for a Senior-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. Key Responsibilities Build the core backend services: design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: build APIs and service interfaces that allow agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure. Operate what you build: instrument services with metrics, logs, traces, alerts, and dashboards. Contribute to technical direction. What We Are Looking For Strong engineering skills: solid experience building production-grade, user-facing software systems. Experience with a practical mindset for new technologies and frameworks, focused on delivering high-quality solutions that work in the real world. Quick iteration and experimentation. Proven initiative and ownership. Collaborative attitude. Requirements Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g. AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Nice to Have Experience building or working with agent frameworks or multi-agent workflows. Experience as a data analyst or work with data platforms (e.g. Looker, Tableau, PowerBI, Snowflake, DataBricks). Experience building tools for data engineering. In Canada, the Base compensation range for this role is CAD $164,490 – $197,389.