Staff Backend Engineer: AI-Driven Context & Data APIs

Showcify; United States; Remote; EUR 110,000 - 132,000; Full time

Benefits offered by this job

Remote-friendly

30 days annual leave

Grafana Shutdown Days

Job summary

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

This remote-first role requires pragmatic architectural decisions, adaptability, and collaboration across product and infrastructure, with strong emphasis on reliability and observability.

Qualifications

• Experience building production-grade software systems.
• Familiar with AI technologies and practical mindset.
• Ability to work autonomously in a remote, collaborative environment.
• Strong communication across teams.
• Experience with cloud-native environments (AWS, GCP, Azure).
• Experience using observability tools to understand system behavior.

Responsibilities

• Build the core backend services for context ingestion, indexing, retrieval orchestration, API access and system administration.
• Create a scalable SaaS foundation with multi-tenant architecture, quotas, audit logs and background jobs.
• Power agent-facing retrieval workflows with APIs for AI agents, MCP tools, CLIs and internal apps to access context and provenance.
• Collaborate with product and infrastructure to balance rapid experimentation and long-term reliability.
• Instrument services with metrics, logs, traces, alerts and dashboards to improve reliability.
• Contribute to architectural direction, service boundaries, storage choices and deployment patterns.
• Communicate effectively across teams and take ownership of AI solutions.

Job description

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

This remote-first role requires pragmatic architectural decisions, adaptability, and collaboration across product and infrastructure, with strong emphasis on reliability and observability.