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Sr Software Engineer- Customer Experience Intelligence (CXI)

Databricks
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Hybrid (Mountain View, CA; San Francisco, CA)$164.2k - $225.7kFull-timePosted 7mo ago

About the role

Senior Software Engineer focused on architecting and delivering Databricks' AI-native vertical workflow platform (CXI), building 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 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 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 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.
  • Experience in large projects with 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 distributed backend systemsAgentic/ automation systemsFull stack developmentMulti-cloud environments

Benefits

  • Benefits information available via regional 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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