Databricks

Staff Backend Software Engineer- (AI Platform)

Databricks
Apply
5 months ago

Base Salary

$192k - $260k/yr

Responsibilities

  • Design and implement scalable, reliable core systems and APIs for Databricks Foundation Model Serving.
  • Define technical roadmaps and long-term architecture with product and engineering leadership.
  • Optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.
  • Contribute to serving infrastructure components including vLLM, SGLang, token-based rate limiters, and optimizers.
  • Collaborate with product, platform, and research teams to deliver reliable and performant systems.
  • Establish best practices for code quality, testing, and operational readiness.
  • Mentor engineers through design reviews and technical guidance.
  • Represent the team in cross-organizational technical discussions and influence AI platform strategy.

Requirements

  • 10+ years of experience building and operating large-scale distributed systems.
  • Experience leading high-scale, operationally sensitive backend systems.
  • A track record of improving engineering excellence across teams.
  • Strong foundation in algorithms, data structures, and system design for large-scale, low-latency serving systems.
  • Proven ability to deliver technically complex, high-impact initiatives with measurable customer or business value.
  • Strong communication and cross-team collaboration skills.
  • Strategic and product-oriented mindset aligned with long-term technical vision.
  • Passion for mentoring engineers and fostering technical excellence.
  • Prior ML or AI experience is not required.

Benefits

  • Comprehensive benefits and perks are offered, with region-specific details available at the provided benefits website.

Tech Stack

Apache SparkDatabricksMLflow
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).