Remote Senior Backend Engineer - AI Data Platform

United States Digital Space LLC; United States; Remote; USD 79,000 - 99,000; Full time

Job summary

Grafana Labs is building an AI-native data intelligence system to give agents reliable, governed access to enterprise context. The team operates with autonomy, delivering scalable, observable database services for a multi-tenant SaaS platform.

We value curiosity, collaboration, and pragmatic experimentation, and welcome applicants from diverse backgrounds who thrive in a remote-first environment.

Qualifications

• Strong engineering background with production-grade software experience.
• Practical AI experience beyond theory is valued.
• Willingness to release prototypes, gather feedback, and iterate quickly.
• Proven initiative and the ability to drive projects with minimal supervision.

Responsibilities

• Take ownership of database components including design, ingestion, and query execution.
• Build a scalable multi-tenant SaaS foundation with robust isolation and observability.
• Develop APIs and interfaces for AI agents and tools to access data efficiently.
• Collaborate across product and infra to balance speed and reliability.
• Instrument services with metrics, logs, traces and dashboards for reliability.
• Contribute to architectural direction and deployment patterns.
• Communicate effectively in a dynamic, cross-functional environment.
• Own the end-to-end quality and maintainability of built solutions.

Skills

Engineering skills

AI experience

Iterative mindset

Initiative

Collaboration

Distributed systems

Query engines

Go/C++/Rust

Production software

Cloud-native

Job description

Grafana Labs is building an AI-native data intelligence system to give agents reliable, governed access to enterprise context. The team operates with autonomy, delivering scalable, observable database services for a multi-tenant SaaS platform.

We value curiosity, collaboration, and pragmatic experimentation, and welcome applicants from diverse backgrounds who thrive in a remote-first environment.