Senior Full-Stack Engineer - Grafana Analytics | NASA | Remote, USA

📍 United States

USD 154,400-185,300 per year

SENIOR

✅ Remote

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 Experimentation GCP @ 6 GenAI @ 4 Grafana LLM Looker @ 4 Observability @ 4 Power BI @ 4 Slack Snowflake @ 4 Tableau @ 4

Details

Grafana Labs is seeking a Full-Stack Software Engineer to join the 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 startup-like initiative emphasizes autonomy, rapid experimentation, user feedback, and shipping scalable features.

Responsibilities

Build and deliver full-stack user experiences, including high-performance 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 the integration of agentic components with internal tools such as Slack and alerting systems.
Engage with internal data teams for dogfooding and product validation.
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 that they are innovative, scalable, maintainable, and aligned with real user workflows.

Requirements

Strong product mindset and the ability to understand user problems and develop effective, high-quality solutions.
Solid experience building production-grade, user-facing software systems.
Ability to tackle complex engineering problems and make UI design decisions with minimal supervision.
Familiarity with AI technologies and frameworks, with a practical focus on delivering reliable real-world solutions.
Comfort releasing prototypes, collecting feedback, and iterating quickly.
Proven initiative, ownership, and ability to define scope and drive projects forward in ambiguous environments.
Strong communication and collaboration skills.
Track record of building user-facing experiences that balance utility and user delight.
Experience with large language models, context engineering, and GenAI-powered applications.
Proven track record of delivering software to production that 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.

Nice to Have

Experience building or working with agent frameworks or multi-agent workflows.
Experience as a data analyst or working with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks.
Experience building tools for data engineering.

Benefits

Restricted Stock Units (RSUs).
Remote-first global culture.
Career growth pathways.
In-person onboarding.
Global annual leave policy of 30 days per year, including three Grafana Shutdown Days where applicable.

Grafana Labs is an equal opportunities employer. The company may use AI tools in its recruitment process to assist in matching CV information to job postings, while recruitment staff continue to manually review applications.