Senior Full-Stack Engineer - Grafana Analytics

Senior Fullstack Engineer - Grafana Analytics

At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business via general data analytics. Our goal is to make Grafana the single best place where humans and AI agents understand and act on data from across the enterprise. We build systems that help users make sense of their sea of data through AI-driven features in use cases like product analytics and sales data. These capabilities lower the barrier of domain expertise and surface meaningful signals from messy data.

The Grafana Analytics team operates with a high degree of autonomy and ownership. Engineers are empowered to make decisions, move quickly, and validate ideas early while being supported by a deeply collaborative culture.

Key Responsibilities

• Build and deliver full-stack user experiences: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
• Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for the data engineering lifecycle.
• Collaborate: Work with the rest of the team to shape AI-driven product features, including the integration of agentic components with internal tools like Slack and alerting systems while engaging with internal data teams for dogfooding.
• Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are scalable, maintainable, and aligned with real user workflows.

What We're Looking For

• Product mindset: You understand what problems users have and develop solutions to address those with proficiency and taste.
• Strong engineering skills: Solid experience building production-grade, user-facing software systems.
• AI experience with a practical mindset: Familiarity with AI technologies and frameworks, focusing on real-world delivery.
• Quick iteration: Comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: Ability to deal with ambiguity and define scope where things are loosely defined.

Requirements

• Track record of building user-facing experiences that strike the right balance between utility and delighting the user.
• Experience with LLMs, context 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 working with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks).
• Experience building tools for data engineering.

Compensation & Rewards

• Base Salary Range (Canada): $164,490 - $197,389 CAD
• Equity: Restricted Stock Units (RSUs) included for ownership in Grafana Labs' success.
• Time Off: 30 days per annum global annual leave policy (including 3 Grafana Shutdown Days).