Senior Backend Engineer - AI-Driven Data Platform

Grafana; Oregon; Hybrid; USD 154,000 - 185,000; Full time

Benefits offered by this job

RSUs

Remote-first culture

30 days annual leave

Job summary

Grafana Labs, a remote-first company, seeks a Senior Software Engineer (Database) to build the storage layer for a general-purpose data platform. You will shape the database system with OLAP/OTLP capabilities, embracing compute/storage separation across clouds.

You will own major components, collaborate with cross-functional teams, and drive reliability through instrumentation, testing, and pragmatic architecture decisions while enabling scalable, production-grade SaaS products.

Qualifications

• Production-grade software development experience.
• Experience with distributed systems and scalable architectures.
• Proficiency in Go, C++, or Rust.
• Experience with cloud-native environments (AWS, GCP, Azure).
• Familiarity with observability tools and incident response.

Responsibilities

• Take ownership of database components: design, implement, test, and operate ingestion and query planning.
• Develop a scalable SaaS foundation with multi-tenant architecture including isolation and quotas.
• Build APIs and interfaces for AI agents and internal tools to fetch data quickly.
• Collaborate with product and infra teams to balance rapid experimentation with long-term reliability.
• Instrument services with metrics, logs, traces, alerts, and dashboards.
• Contribute to architectural directions, service boundaries, and deployment patterns.
• Communicate effectively in a collaborative, dynamic environment.
• Own the database solutions end-to-end, ensuring scalability and maintainability.

Skills

Go/C++/Rust

Distributed systems

AI experience

Observability tooling

Cloud-native environments

Communication & teamwork

Tools

AWS

GCP

Azure

Job description

Grafana Labs, a remote-first company, seeks a Senior Software Engineer (Database) to build the storage layer for a general-purpose data platform. You will shape the database system with OLAP/OTLP capabilities, embracing compute/storage separation across clouds.

You will own major components, collaborate with cross-functional teams, and drive reliability through instrumentation, testing, and pragmatic architecture decisions while enabling scalable, production-grade SaaS products.