Staff Software Engineer- CXI

• Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks' next-generation Enterprise Agentic Framework.
• Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.
• Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.
• Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.
• Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.
• Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.
• Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.
• Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.

• BS or higher degree in Computer Science or a related field.
• Extensive backend development experience designing, building, and maintaining high-throughput production systems.
• Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in highly complex environments.
• Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic.
• Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.
• Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.

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 $164,200-$225,700 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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 the Staff Software Engineer for Customer Experience Intelligence, you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization., Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.