Senior Backend Engineer, AI Context & Data Systems

Grafana Labs; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote-first culture

Global team onboarding

Competitive compensation

Job summary

Grafana Labs is seeking a Staff-level Backend Engineer to build the first production services for a context layer management system. You will design and ship the core backend architecture powering ingestion, context storage, retrieval APIs, and agent-facing integrations.

This is an early-stage, high-autonomy role on a remote-first team, with opportunities to evolve the role as the project matures. You will work across product and infra to ensure reliability and scalability.

Qualifications

• Production-grade software experience with scalable backend systems.
• Hands-on with AI/ML concepts and practical implementations.
• Experience delivering production software used by real users.
• Familiarity with cloud-native architectures and observability.

Responsibilities

• Design, implement, test, and operate core backend services for context ingestion and retrieval.
• Build multi-tenant SaaS foundations with proper isolation and governance.
• Develop API surfaces for AI agents and internal tools; ensure reliability and scalability.
• Instrument services with metrics, logs, traces, and alerts; partner across teams.

Skills

Production-grade systems

AI/ML experience

LLMs familiarity

Cloud-native (AWS/GCP/Azure)

Observability tooling

Cross-functional collaboration

Strong communication

Tools

Looker

Tableau

PowerBI

Snowflake

DataBricks

Job description

Grafana Labs is seeking a Staff-level Backend Engineer to build the first production services for a context layer management system. You will design and ship the core backend architecture powering ingestion, context storage, retrieval APIs, and agent-facing integrations.

This is an early-stage, high-autonomy role on a remote-first team, with opportunities to evolve the role as the project matures. You will work across product and infra to ensure reliability and scalability.