Staff Software Engineer- CXI
Databricks· Engineering
Hybrid (Mountain View, CA and San Francisco, CA)$164.2k - $225.7kFull-timePosted 3mo ago
About the role
Staff Software Engineer for Customer Experience Intelligence (CXI) at Databricks. Architect and deliver an AI-native vertical workflow platform that orchestrates AI agents, humans, and enterprise tools into end-to-end workflows. Role includes designing multi-domain, scalable, reliable backend systems with observability, and cross-functional leadership.
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 expandable to IT, Security, Compliance, Marketing, HR, Legal and other 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 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 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 in Computer Science or 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.
Skills
Required:Backend developmentDistributed systemsML-assisted backend systems / LLM orchestrationMulti-cloud (AWS, Azure, GCP)
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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