Sr Software Engineer- Customer Experience Intelligence (CXI)

Databricks • San Francisco, CA

17h

About The Position

At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact. Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started. As a Sr. Software Engineer for Customer Experience Intelligence, you’ll shape the future of how Databricks supports customers at scale. You’ll design intelligent, AI-powered systems that make support faster, smarter, and more effortless — turning complexity into clarity for thousands of users. In this role, you’ll work hands-on with teams across Support, Product, and Platform Engineering to build seamless systems that anticipate customer needs before they arise. Building the technical foundation that transforms how customers experience support — where issues are auto-diagnosed, solutions are delivered instantly, and engineers focus their time on the toughest challenges. Your success will mean customers moving faster, trusting Databricks deeper, and feeling the impact of your systems every day.

Requirements

• BS or higher degree in Computer Science or a related field.
• Experience in large projects similar to those described, including automation tooling, distributed systems, and API’s
• Extensive full stack development experience
• Proven success designing and deploying production-grade automation in complex technical environments
• Hands-on experience with ML-assisted systems, decision support, or agentic automation
• Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems
• Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints

Responsibilities

• Contribute to the technical vision and architecture for Databricks’ Support Automation and Tooling ecosystem
• Development of automation to improve customer experience and Support scalability
• Drive rapid, iterative development while upholding quality, safety, and reliability standards
• Design agentic workflows that evolve 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 to align technical roadmaps and unblock dependencies
• Set a high engineering bar for quality, reliability, and maintainability in line with Databricks standards
• Mentor engineers and SMEs across Software and Support Engineering functions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level