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Databricks

Builds cloud software for data analysis and AI

Staff Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science or a related field.
  • Extensive backend development experience designing, building, and maintaining high-throughput production systems.
  • Proven success deploying enterprise-grade backend infrastructure, microservices, and robust application programming interfaces in highly complex environments.
  • Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic.
  • Hands-on experience with machine-learning-assisted backend systems, large language model orchestration frameworks, state machines, or agentic automation.
  • Strong understanding of multi-cloud environments, including AWS, Azure, and GCP, alongside enterprise compliance, data privacy, and security constraints.

Responsibilities

  • Architect and deliver Databricks' AI-native vertical workflow platform.
  • Contribute to the technical vision, core infrastructure, and backend architecture for the Enterprise Agentic Framework.
  • Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support and designed to expand into other domains and ticket-based workflows across the company.
  • Drive rapid, iterative backend development while upholding quality, safety, throughput, and reliability standards for agentic-based systems.
  • Design state-machine and agentic workflows that progress from human-in-the-loop validation to fully automated execution.
  • Implement backend tracing, logging, transparency, and safe execution, including rollback mechanisms for critical AI-driven business decisions.
  • Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders to unblock dependencies and align roadmaps.
  • Set a high engineering bar for backend code quality, system performance, and architectural maintainability.
  • Mentor engineers and subject matter experts across Software, Support, and internal operations teams.

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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