TL;DR

Sr Software Engineer (Customer Experience Intelligence): Develop intelligent, AI-powered automation systems to enhance customer support experience at scale with an accent on automation tooling, distributed systems, and multi-cloud environments. Focus on designing agentic workflows, observability mechanisms, and building scalable support automation infrastructure.

Location: Mountain View or San Francisco, California, United States

Salary: $164,200–$225,700 USD

Company

Databricks is a leading data and AI company providing a unified data intelligence platform used by over 10,000 organizations worldwide, including many Fortune 500 companies.

What you will do

  • Contribute to the technical vision and architecture of Support Automation and Tooling ecosystem
  • Develop automation to improve customer experience and support scalability
  • Drive rapid, iterative development while maintaining quality, safety, and reliability
  • Design agentic workflows evolving from human-in-the-loop to fully automated systems
  • Implement observability, transparency, and rollback mechanisms for AI-driven decisions
  • Act as technical liaison between Support, Product, and Platform Engineering teams
  • Mentor engineers and subject matter experts across software and support engineering

Requirements

  • BS or higher degree in Computer Science or related field
  • Experience with automation tooling, distributed systems, APIs, and full stack development
  • Proven success deploying production-grade automation in complex environments
  • Hands-on experience with ML-assisted systems, decision support, or agentic automation
  • Familiarity with distributed data platforms, developer tooling, and large-scale infrastructure
  • Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints
  • Location: Must be based in Mountain View or San Francisco, California, United States

Culture & Benefits

  • Comprehensive benefits and perks tailored to employee needs
  • Commitment to diversity and inclusion in hiring and workplace culture
  • Opportunities to work on cutting-edge AI and data infrastructure technologies