Staff Software Engineer – Customer Experience Intelligence

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the design and implementation of intelligent agent systems that automate complex technical workflows across distributed computing environments. You will set technical strategy for the agent platform, drive cross-team initiatives integrating AI agents with enterprise tools and human workflows, own reliability, observability and performance, and mentor senior engineers.

Requirements

  • 8+ years of software engineering experience
  • Experience building and operating large-scale distributed systems in production
  • Strong proficiency in systems programming languages including Java, Scala, C++ or Go
  • Track record of leading complex technical projects across multiple teams
  • Experience with cloud technologies including AWS, Azure, GCP, Docker or Kubernetes
  • Ability to influence technical direction and communicate with technical and non-technical stakeholders
  • Experience with software security and systems handling sensitive data
  • B.S., M.S., or Ph.D. in Computer Science, Engineering or related field, or equivalent practical experience

Responsibilities

  • Lead the design and implementation of intelligent agent systems automating complex technical workflows
  • Define technical strategy and architectural direction for the agent platform
  • Drive cross-team initiatives to integrate AI agents with enterprise tools and human workflows
  • Own system reliability, observability and performance at scale
  • Mentor senior engineers and raise the technical bar through design reviews and guidance

Benefits

  • Eligibility for annual performance bonus
  • Equity