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Senior Full-Stack Engineer – Grafana Analytics
Grafana LabsCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI-powered full-stack features, with a strong focus on user-facing software systems and data engineering workflows. Proficient in leveraging AI technologies and cloud-native environments to enhance product functionality and user experiences.
Highest-signal resume keywords
AI TechnologiesLLMsCloud-Native EnvironmentsUser-Facing Software SystemsObservability Tools
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, develop, test, and ship AI-powered full-stack features for large datasets
- Build high-performance user experiences that help users discover, organize, and optimize access to data
- Prototype, test, validate, ship, and evolve LLM- and agent-powered workflows for the data engineering lifecycle
- Integrate agentic components with internal tools such as Slack and alerting systems
- Engage internal data teams for dogfooding
- Use AI and automation tools to improve product functionality and development workflows
- Own AI solutions to ensure scalability, maintainability, and alignment with user workflows
- Collaborate across the autonomous Grafana Analytics team and internal teams
Requirements
What you’ll need- Strong experience building production-grade, user-facing software systems
- Familiarity with AI technologies and frameworks
- Experience with LLMs, context engineering, and GenAI-powered applications
- Proven track record of delivering software used by users in production
- Exposure to cloud-native environments such as AWS, GCP, or Azure
- Experience using observability tools to understand and troubleshoot system behavior
- Track record of building user-facing experiences balancing utility and user delight
- Ability to prototype, collect feedback, and iterate quickly
- Ability to deal with ambiguity and define scope
- Experience with agent frameworks or multi-agent workflows is nice to have, but not required
- Experience with data platforms such as Looker, Tableau, PowerBI, Snowflake, or DataBricks is nice to have, but not required
- Experience building tools for data engineering is nice to have, but not required
Benefits
Comp & perks- Restricted Stock Units (RSUs)
- 100% remote, global culture
- Career growth pathways
- In-person onboarding
- 30 days annual leave per annum, including 3 Grafana Shutdown Days
- Transparent communication and regular company-wide updates
- Autonomy and support to ship great work and try new things
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Full-Stack DevelopmentData EngineeringPrototypingContext EngineeringGenAI-Powered Applications
Soft Skills
Ability to Deal with AmbiguityIterative Feedback Collection
Tools & Technologies
AWSGCPAzureSlackGrafanaLookerTableauPowerBISnowflakeDataBricks
Industry Keywords
AI-Powered FeaturesUser ExperienceAutomation ToolsAgent FrameworksMulti-Agent Workflows