Staff Backend Engineer: AI Context & SaaS Platform Remote

Grafana

United States

Remote

USD 135,000 - 162,000

Full time

11 days ago
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Benefits offered by this job

Equity
Bonus (if applicable)
Remote - global

Job summary

Grafana Labs is seeking a Staff-level Backend Engineer to help build the first production services for a new AI-native data context layer. You will design the backend architecture powering ingestion, storage, retrieval, and agent integrations.

This early-stage role offers high autonomy and growth as the product evolves into production-grade SaaS. You’ll join a remote-first team, collaborate across functions, and shape technical direction while delivering scalable, reliable systems used by global

Qualifications

  • Proven track record delivering production-grade software.
  • Experience applying AI techniques in real-world products.
  • Hands-on with LLMs, prompt engineering, and GenAI-powered apps.
  • Experience in cloud-native environments (AWS/GCP/Azure).
  • Familiarity with observability tools and incident response.

Responsibilities

  • Build and operate backend services for a context layer in a production SaaS.
  • Define multi-tenant architecture with reliable service boundaries.
  • Develop APIs for agent-driven data retrieval and provenance.
  • Collaborate across product and infra teams to balance speed and reliability.
  • Instrument services with metrics, logs, traces, and dashboards.

Skills

Production-grade software
AI experience
LLMs
GenAI
Cloud-native
Observability
Collaboration
Communication

Tools

AWS
GCP
Azure
Looker
Tableau
PowerBI
Snowflake
DataBricks

Job description

Grafana Labs is seeking a Staff-level Backend Engineer to help build the first production services for a new AI-native data context layer. You will design the backend architecture powering ingestion, storage, retrieval, and agent integrations.

This early-stage role offers high autonomy and growth as the product evolves into production-grade SaaS. You’ll join a remote-first team, collaborate across functions, and shape technical direction while delivering scalable, reliable systems used by global

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