Staff Fullstack Engineer - Platform - App Core Usage | US | Remote
Grafana Labs, a software company in developer tools and infrastructure, is hiring for the role of Staff Fullstack Engineer - Platform - App Core Usage | US | Remote. The role is remote, and the posting gives United States as the location. We classify it under full-stack engineering. The posting names Grafana, Salesforce, React, Kubernetes, CI/CD and MySQL. Time zone requirement: overlap with EMEA. Perks named in the posting: equity. Grafana Labs has 27 open positions on this site, 11 of them in IT and engineering.
Posted 1 day ago · Last checked 2026-10-21
About Grafana Labs
Developer tools and infrastructure Software product company 27 open positions, 41% in IT and engineering. Most open roles: Software engineering (general) (13), Product and design (9), Sales (9).
Similar jobs
261 open full-stack engineering jobs in the United States · 231 open remote full-stack engineering jobs
- Staff Software Engineer, Full Stack — Cloaked, New York, NY
- Full Stack Software Engineer, New Grad - Quora (Remote) — Quora, Remote - Multiple Locations | United States | Canada
- Full Stack Software Engineer — Lantern, Dallas, TX - Hybrid (3x in office/week)
- Senior+ Full-Stack Engineer — Nango, USA | Chile | UK | Uruguay | Switzerland | Brazil | Canada | Mexico | Argentina | Europe
- Senior Full Stack Software Engineer — SimplePractice, United States
- Senior Full-Stack Engineer — Acquisition.com, Las Vegas, NV (Remote)
- Senior Full Stack Engineer, Government (IL5) — Uare.ai, San Francisco or Los Altos, CA
- Full-Stack Software Engineer, Reinforcement Learning — Clera, San Francisco
| Workplace | Remote |
| Seniority | Staff |
| Role | Full-stack engineering |
| Countries | United States |
| Languages | GolangJavaScriptTypeScript |
| Key facts | Stack: Golang, JavaScript, TypeScript, Grafana, Salesforce, React, Kubernetes, CI/CD, MySQL, Terraform, GCP, BigQuery · Remote, overlap with EMEA · Schedule: on-call · Equity |
The full description is on the original posting. Labels are set automatically and can be wrong. About the data