Senior AI Platform Backend Engineer (Scala/Go/Python)

Neon

San Francisco (CA)

Vor Ort

USD 166.000 - 225.000

Vollzeit

14 Tage+

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Zusammenfassung

Databricks is seeking an experienced backend/infrastructure engineer to build the foundations powering our AI platforms and data workflows. You will work across distributed systems and cloud-native infra to enhance reliability and performance for customers worldwide.

You will collaborate with platform, infra, and ML teams to deliver end-to-end experiences and contribute to scalable APIs, deployment pipelines, and observability.

Qualifikationen

  • 5+ years of experience in backend or infrastructure engineering.
  • Strong programming skills in Scala, Go, or Python.
  • Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
  • Familiarity with service-oriented architecture, deployment pipelines, and system observability.
  • Strong product and ownership mindset — you care about building the right solution, not just any solution.

Aufgaben

  • Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.
  • Improve reliability, latency, and efficiency of distributed AI workloads
  • Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences
  • Shape how developers and data scientists build and interact with AI on Databricks

Kenntnisse

Backend/infrastructure engineering
Scala
Go
Python
Distributed systems
Service-oriented architecture
Ownership mindset

Jobbeschreibung

Databricks is seeking an experienced backend/infrastructure engineer to build the foundations powering our AI platforms and data workflows. You will work across distributed systems and cloud-native infra to enhance reliability and performance for customers worldwide.

You will collaborate with platform, infra, and ML teams to deliver end-to-end experiences and contribute to scalable APIs, deployment pipelines, and observability.

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