
Staff Software Engineer - Adaptive Telemetry, Databases | USA | Remote
About this role
Role Overview
The Staff Software Engineer for Adaptive Telemetry, Databases position at Grafana Labs is a remote opportunity based in the United States. This role suits an experienced systems engineer who wants to drive technical strategy, optimize telemetry data storage, and lead complex distributed systems projects within a global, open-source-driven company.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Grafana Labs is the company behind Grafana Cloud, a fully managed observability platform trusted by over 10,000 organizations, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. Built on open source and open standards, the company is 100% remote with team members across more than 40 countries. Grafana Labs is backed by leading investors such as Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. The organization prides itself on an open-source legacy, a global collaborative culture, and an innovation-driven environment fueled by transparency, autonomy, and trust.
How to Apply
Interested candidates should visit the official Grafana Labs careers page to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
Is this position remote?
Yes, this is a 100% remote position looking for candidates located in USA time zones.
What is the salary range for this role in the USA?
The base compensation range in the United States is USD 174,986 to USD 209,983 per year, with exact pay depending on level, experience, and skillset.
What programming languages are relevant for this job?
The team primarily uses Go, but experience with Python, C, C++, Rust, or similar languages translates well.
What department manages this role?
This role sits within the R&D Databases department, specifically inside the Adaptive Telemetry group.
What kind of benefits are included?
Benefits include equity, applicable bonuses, a global annual leave policy of 30 days per year, and a company-funded AI usage budget.