About the role
P-1652
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
The CXI team builds intelligent systems that orchestrate AI agents, humans, and enterprise tools to automate complex, high-volume workflows in business-critical domains. Starting with Databricks Support, the team develops agents that triage, diagnose, and resolve technical issues across distributed computing environments. The modular agent platform combines reliable infrastructure, robust observability, and continuous learning to evolve from human-guided workflows toward fully automated execution.
The Impact You Will Have
- Lead the design and implementation of intelligent agent systems that automate complex technical workflows across distributed computing environments.
- Define technical strategy and architectural direction for the agent platform, balancing reliability, scalability, and continuous learning capabilities.
- Drive cross-team technical initiatives to integrate AI agents with enterprise tools and human workflows.
- Own critical system reliability, observability, and performance at scale as the platform evolves toward full automation.
- Mentor senior engineers and raise the technical bar across the organization through design reviews and technical guidance.
What We Look For
- 8+ years of software engineering experience.
- Experience building and operating large-scale distributed systems in production environments.
- Strong proficiency in systems programming languages including Java, Scala, C++, or Go.
- Track record of leading complex technical projects from conception through delivery, involving multiple teams or system boundaries.
- Experience with cloud technologies including AWS, Azure, GCP, Docker, or Kubernetes.
- Ability to influence technical direction through strong technical judgment and clear communication with both technical and non-technical stakeholders.