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# Software Engineer- Customer Experience Intelligence

- **Company:** Databricks
- **Location:** United States
- **Experience:** Expert
- **Salary:** $164,200.0 - $225,700.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Decision Support Systems, Programming Tools, Distributed Data Store, Distributed Systems, Data Logging, Google Cloud, Multi-Cloud, Backend, Information Technology, Databricks
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/sr-software-engineer-customer-experience-intelligence-cxi-databricks-7839998

## About the Role

* BS or higher degree in Computer Science or a related field.
 * Experience in large projects similar to those described, including automation tooling, distributed systems, and API's
 * 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.

Pay Range Transparency

## Description

* 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.


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