Sr Software Engineer- CXI
Databricks· Engineering
Hybrid (Mountain View, San Francisco)$164.2k - $225.7kFull-timePosted 3mo ago
About the role
Senior Backend Software Engineer for Customer Experience Intelligence (CXI) at Databricks, architecting and delivering an AI-native vertical workflow platform to orchestrate AI agents, humans, and enterprise tools across knowledge-worker workflows with initial focus on Customer Support and expansion to IT, Security, Compliance, Marketing, HR, Legal, and other ticket-based workflows.
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 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 SMEs across Software, Support, and internal operations teams.
Qualifications
- BS or higher degree in Computer Science or a related engineering 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 systemsMulti-cloud environments
Nice to have:ML-assisted backend systems
Benefits
- Benefit details are region-specific and provided via the linked benefits page.
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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