Build LLM infrastructure powering large-scale inference for partner and self-hosted models.
Improve reliability, latency, and efficiency of distributed AI workloads.
Collaborate with platform, infra, and ML teams for end-to-end experiences.
Shape how developers and data scientists build and interact with AI on Databricks.

🎯 Requirements

8+ years in backend or infrastructure engineering.
Experience with distributed systems, scalable APIs, or cloud-native infra.
Experience with real-time serving, ML infra, or GPU orchestration.
Familiarity with SOA, deployment pipelines, and observability.

🎁 Benefits

Comprehensive benefits and perks.
Strong commitment to diversity and inclusion.
Work on enterprise-grade AI infrastructure.
Global team with offices worldwide.

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