Senior Fullstack Engineer, Grafana Labs

• We value open standards, great developer experience, and doing the hard engineering needed to ship reliable software at scale. You may not meet every requirement below. If this role excites you, please raise your hand
• 5+ years of fullstack engineering experience with strong backend fundamentals
• Backend experience (Go is preferred) and frontend experience, we use TypeScript and React
• Experience building or operating distributed systems in production (e.g., Kafka, WarpStream, ClickHouse, Cassandra, Postgres)
• Familiarity with cloud-native systems (Docker, Kubernetes, AWS, GCP, Azure)
• Experience working with high-throughput, high-cardinality data (logs, metrics, traces, events)
• Strong understanding of data modeling, query optimization, and performance tradeoffs
• Experience designing and building APIs and distributed services
• Experience building data-heavy UIs (dashboards, query tools, debugging interfaces)
• Familiarity with observability concepts (traces, logs, metrics) and/or OpenTelemetry
• Strong communication skills and ability to work in a remote, distributed team
• Pragmatic, self-driven, and comfortable navigating ambiguity
• Customer-focused mindset with a passion for developer experience

Desirable

• Grafana Observability builds end-to-end observability that spans application, infrastructure, database, browser, and mobile. Our Real User Monitoring (RUM) initiative focuses on capturing, storing, and querying high-volume user interaction data from browsers and mobile devices, enabling teams to understand real-world user experiences at scale
• We’re building systems that ingest and process massive amounts of telemetry—sessions, events, traces, and logs—and make them explorable in real time. This requires deep expertise in high-performance backend systems, columnar storage, and intuitive frontend experiences
• Our solutions are tightly integrated with OpenTelemetry and Grafana Cloud. We care deeply about performance, cost-efficiency, and developer experience across the entire stack—from instrumentation to query layer to visualization
• Build and evolve fullstack features for RUM, spanning backend services, APIs, storage systems, and frontend user experiences
• Design and implement systems that ingest, store, and query high-cardinality, high-volume telemetry data using columnar/analytical databases
• Develop performant query layers and APIs that power real-time exploration of user sessions, traces, and events
• Contribute to frontend applications that visualize RUM data, enabling users to debug performance issues and understand user behavior
• Work on data modeling, indexing strategies, and query optimization to ensure low-latency, cost-efficient analytics at scale
• Collaborate closely with SDK engineers (browser and mobile) to ensure high-quality data ingestion and schema evolution
• Own projects end-to-end: from design and implementation to deployment, monitoring, and iteration
• Break down complex, ambiguous problems into incremental deliverables and iterate quickly based on feedback
• Ensure quality through testing, observability of your own systems, documentation, and smooth upgrade paths
• Collaborate cross-functionally with backend, frontend, product, and solutions engineering to deliver cohesive observability workflows
• Support teammates, participate in technical design discussions and help shape the RUM roadmap
• We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction
• We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards
• You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro)