SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: CAD 164,490 - 197,389 / annual
Grafana Labs is seeking a Senior Full-Stack Engineer to join the Grafana Analytics team, a new skunkworks initiative bringing observability and AI-driven analytics to enterprise data. The company is the trusted observability platform behind Grafana Cloud, used by over 10,000 organizations including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. This is a 100% remote role with team members across 40+ countries.
The Grafana Analytics team operates as a startup within the company, with high autonomy and ownership. You will design, develop, test, and ship AI-powered features that handle large datasets and expand the capabilities of analytics-focused AI agents. The role emphasizes rapid iteration, experimentation, and shipping impactful features that deliver real user value.
Key responsibilities include:
- Building and delivering full-stack user experiences with AI-driven features for discovering, organizing, and optimizing access to large datasets
- Implementing rapid experimentation and iteration cycles with quick prototyping, testing, and validation with real users
- Collaborating with the team to shape AI-driven product features, including integration of agentic components with internal tools like Slack and alerting systems
- Using AI and automation tools to enhance both product functionality and development workflows
- Taking full ownership of AI solutions, ensuring they are scalable, maintainable, and aligned with real user workflows
- Communicating effectively in a dynamic, collaborative environment
You will work with a mix of seasoned engineers and new hires in an environment that values curiosity, feedback, and cross-functional partnership. As the team matures, there is broad opportunity to expand or redefine the role based on impact and initiative.
Requirements:
- Track record of building user-facing experiences that balance utility with user delight
- Experience with LLMs, context engineering, and building applications powered by generative AI
- Proven track record of delivering production software actively used by users
- Exposure to cloud-native environments (AWS, GCP, Azure)
- Experience using observability tools to understand and troubleshoot system behavior
- Strong software engineering background with ability to tackle complex problems and make UI design decisions with minimal supervision
- Product mindset and understanding of user problems
- Comfort with ambiguity and ability to define scope in loosely defined situations
- Collaborative attitude with effective communication skills
Nice to have:
- Experience building or working with agent frameworks or multi-agent workflows
- Experience as a data analyst or with data platforms (Looker, Tableau, PowerBI, Snowflake, DataBricks)
- Experience building tools for data engineering
