Senior Full-Stack Engineer - Grafana Analytics | NASA | (Remote, Canada)
at Grafana Labs
📍 Canada
CAD 164,500-197,400 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
AWS @ 6
Azure @ 6
BI @ 4
Communication @ 7
Data Engineering @ 4
Databricks @ 4
GCP @ 6
GenAI
Generative AI @ 4
Grafana
LLM
Looker @ 4
Observability @ 4
Power BI @ 4
Slack
Snowflake @ 4
Tableau @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Grafana Labs is seeking a Full-Stack Software Engineer for its Grafana Analytics team. The team is building AI-powered analytics capabilities that help users understand and act on data from across the enterprise, including product analytics and sales data. This role involves working in a highly autonomous, startup-like environment to design, develop, test, and ship scalable features for large datasets and analytics-focused AI agents.
Responsibilities
- Build and deliver high-performance, user-facing AI features that help users discover, organize, and optimize access to large datasets.
- Rapidly prototype, test, validate, ship, and evolve LLM- and agent-powered workflows for the data engineering lifecycle.
- Collaborate on AI-driven product features, including integrating agentic components with internal tools such as Slack and alerting systems.
- Engage with internal data teams for dogfooding and feedback.
- Use AI and automation tools to improve product functionality and development workflows.
- Communicate effectively and contribute across teams in a dynamic, collaborative environment.
- Take ownership of AI solutions, ensuring they are innovative, scalable, maintainable, and aligned with real user workflows.
Requirements
- Track record of building user-facing experiences that balance utility and user delight.
- Strong experience building production-grade, user-facing software systems.
- Experience with LLMs, context engineering, and applications powered by generative AI.
- Proven record of delivering software that reached production and is actively used by users.
- Exposure to cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Product mindset and the ability to make UI design decisions with minimal supervision.
- Ability to iterate quickly, work with ambiguity, define scope, and validate ideas with users.
- Strong communication, collaboration, initiative, and ownership skills.
Nice to Have
- Experience with agent frameworks or multi-agent workflows.
- Experience as a data analyst or with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks.
- Experience building tools for data engineering.
Benefits
- Base compensation range in Canada of $164,490–$197,389 CAD per year.
- Restricted Stock Units (RSUs).
- 100% remote global work environment.
- Career growth opportunities.
- In-person onboarding.
- Global annual leave policy of 30 days per year, including three Grafana Shutdown Days.
- Open-source, collaborative, and innovation-driven culture.
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