Databricks

Senior Software Engineer (Backend) - AI/ML Environments

Databricks
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10 months ago
Mountain View, CA, USASenior
H1B Sponsor

Base Salary

$166k - $220k/yr

Responsibilities

  • Build infrastructure that enables ML and AI users to configure training and serving environments easily, reliably, and reproducibly.
  • Collaborate with AI infrastructure teams to build customer-focused Databricks platform features.
  • Improve performance for virtual-environment setup during short training and data-processing sessions.
  • Improve observability to help customers debug failed runs.
  • Interact with turnkey customers and product managers to identify and envision new features.
  • Shape how developers and data scientists build and interact with AI on Databricks.

Requirements

  • 5+ years of backend or infrastructure engineering experience focused on building systems.
  • Strong programming skills in Python, Scala, or Java.
  • 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.
  • Strong understanding of dependency management technologies, including virtual environments or containerization technologies.

Benefits

  • Comprehensive employee benefits and perks, with region-specific details available through Databricks' benefits portal.

Tech Stack

Apache SparkDatabricksJavaMLflowPythonScala
Databricks

About Databricks

5,001-10,000 employees

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

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