Senior Software Engineer Customer Experience Intelligence CXI

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will architect and deliver an AI-native vertical workflow platform. You will build a modular, multi-tenant agent platform, design agentic workflows, and implement backend observability, safe execution, and rollback capabilities. You will align technical work across product and engineering stakeholders and mentor engineers and subject matter experts.

Requirements

  • BS or higher degree in Computer Science or a related field
  • Experience with automation tooling, distributed systems, and APIs
  • Extensive full-stack development experience
  • Experience designing and deploying production-grade automation in complex technical environments
  • Hands-on experience with ML-assisted systems, decision support, or agentic automation
  • Familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems
  • Understanding of AWS, Azure, GCP, enterprise compliance, data privacy, and security constraints

Responsibilities

  • Contribute to the technical vision, core infrastructure, and backend architecture for the Enterprise Agentic Framework
  • Build a modular, multi-tenant agent platform for customer support and other business domains
  • Drive iterative backend development while maintaining quality, safety, throughput, and reliability
  • Design state-machine and agentic workflows
  • Implement backend tracing, logging, transparency, safe execution, and rollback mechanisms
  • Act as a technical liaison across product, platform engineering, and business stakeholders
  • Set standards for backend code quality, performance, and maintainability
  • Mentor engineers and subject matter experts

Benefits

  • Annual performance bonus eligibility
  • Equity eligibility