Job Description - Sr Software Engineer- Customer Experience Intelligence (CXI)
P-1651
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.
The Impact You Will Have:
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 we look for:
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
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