Staff Software Engineer - Customer Experience Intelligence

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.

• 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.
• Experience with software security and systems that handle sensitive data.
• B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Local Pay Range $190,000-$261,250 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.