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Databricks

Builds cloud software for data analysis and AI

Staff Software Engineer - Customer Engagement & Docs Platform

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 6 years of industry experience building and operating large-scale distributed systems.
  • Demonstrated technical proficiency in machine learning and software engineering, coupled with a strong product-oriented approach.
  • Ability to define and structure solutions in ambiguous problem domains.
  • Ability to mentor and guide junior engineers and collaborate across team boundaries.
  • Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value.

Responsibilities

  • Lead the design, development, and deployment of systems for evaluation, answer retrieval, and quality improvement to help customers.
  • Lead architectural decisions to ensure the performance, reliability, and accuracy of knowledge systems.
  • Drive engineering best practices, including design reviews, code quality, testing strategies, and performance optimizations.
  • Deliver high-quality, production-ready code and services end-to-end, including performance tuning, resiliency improvements, and debugging in live environments.
  • Contribute to longer-term technical planning and support strategic initiatives in Assistant and Support organizations.
  • Understand user behavior, identify factors contributing to customer problems, and leverage product, machine learning, and large language models to analyze technical use cases in a secure enterprise environment and provide paths to resolution.

Desired Qualifications

  • Prior experience with retrieval systems and search technologies.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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