Senior Full-Stack Engineer - Grafana Analytics| NASA | (Remote, USA)
Grafana · United States (Remote)
About this role
**Senior Full-Stack Engineer — Grafana Analytics | NASA | (Remote, USA)** **About Grafana Labs** Grafana Labs builds **Grafana Cloud**, a fully managed observability platform trusted by **10,000+ organizations** to improve reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards, Grafana Cloud brings **AI to observability** and **observability to AI**—helping teams (and their agents) gain unified visibility across their data. Grafana Labs is **100% remote**, with team members across **40+ countries**. **Role overview** Grafana Analytics is a skunkworks-style team focused on bringing observability to the rest of the business through **general data analytics**. The goal is to make Grafana the best place for **humans and AI agents** to understand and act on enterprise data. You’ll design, develop, test, and ship **AI-powered features** that work with **large datasets**, while expanding capabilities of analytics-focused AI agents for **information retrieval**. As the team matures, the role may evolve based on impact and initiative. **Key responsibilities** - **Build full-stack user experiences**: Own development of high-performance AI features to help users discover, organize, and optimize access to large datasets. - **Rapid experimentation & iteration**: Prototype, test, and validate with real users; ship and evolve LLM/agent-powered workflows for the data engineering lifecycle. - **Collaborate**: Shape AI-driven product features, including integrating agentic components with internal tools (e.g., Slack and alerting) and working with internal data teams. - **Use AI tools effectively**: Apply AI/automation to improve product functionality and your development workflow. - **Communicate effectively**: Contribute across teams in a dynamic, collaborative environment. - **Own outcomes & impact**: Ensure solutions are innovative, scalable, maintainable, and aligned with real user workflows. **What we’re looking for** - **Product mindset**: Understand user problems and build solutions with strong judgment. - **Strong engineering skills**: Production-grade, user-facing software experience; self-starter who can make UI decisions with minimal supervision. - **Practical AI experience**: Familiar with AI technologies/frameworks and focused on real-world quality. - **Quick iteration & experimentation**: Comfortable shipping prototypes, collecting feedback, and iterating pragmatically. - **Proven initiative**: Own projects, handle ambiguity, and define scope when requirements are loose. - **Collaborative attitude**: Communicate well, welcome feedback, and bring a solutions-oriented mindset. **Requirements** - Track record building **user-facing experiences** that balance utility and delight. - Experience with **LLMs**, **context engineering**, and **GenAI-powered applications**. - Proven delivery of software that reached **production** and is actively used. - Exposure to **cloud-native environments** (e.g., AWS, GCP, Azure). - Experience using **observability tools** to understand and troubleshoot system behavior. **Nice to have (not required)** - Experience with **agent frameworks** or **multi-agent workflows**. - Experience as a **data analyst** or working with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, Databricks). - Experience building tools for **data engineering**. **Compensation & rewards** - **USA base range:** **$154,445 – $185,334** (actual compensation varies by le
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