Staff Software Engineer – Customer Experience Intelligence (CXI)
Databricks· Engineering
Hybrid (Mountain View; San Francisco), Hybrid (Remote eligible)$190k - $261.3kFull-timePosted 8mo ago
About the role
Staff Technical Lead responsible for architecting and delivering Databricks' AI-native vertical workflow platform (CXI), enabling intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows across multiple domains.
Responsibilities
- 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 designed to expand into IT, Security, Compliance, Marketing, HR, Legal and other ticket-based workflows.
- 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 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 decisions.
- Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders to unblock dependencies and align roadmaps.
- Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability.
- Mentor and Cultivate: Mentor engineers and SMEs across Software, Support, and internal operations teams.
Qualifications
- BS or higher degree in Computer Science or a related field.
- Technical leadership experience in large projects including automation tooling, distributed systems, and APIs
- 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
- Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.
Skills
Required:Architecting backend systemsFull stack developmentAutomation toolingDistributed systems
Nice to have:ML-assisted systems / agentic automation
Benefits
- Benefits details available via region-specific link in job description.
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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