# Staff Software Engineer – Customer Experience Intelligence (CXI)

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Mountain View, CA, San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $190k – $261k/yr
**Skills:** Full Stack Development, Distributed Systems, APIs, Machine Learning, Agentic Automation, AWS, Azure, GCP, Kubernetes, Observability
**Posted:** 2026-02-25

> Leads technical vision and architecture for AI-powered support automation systems at Databricks. Builds agentic workflows, full stack development, and integrates with multi-cloud environments to enhance customer experience and scalability.

## Job Description

## The Impact You Will Have:

- Own the technical vision and architecture for Databricks’ Support Automation and Tooling ecosystem
- Lead hands-on development of automation to improve customer experience and Support scalability
- Drive rapid, iterative development while upholding quality, safety, and reliability standards
- Design agentic workflows that evolve from human-in-the-loop to fully automated systems
- Implement observability, transparency, and rollback mechanisms for AI-driven decisions
- Act as the primary technical interface between Support, Product, and Platform Engineering to align technical roadmaps and unblock dependencies
- Set a high engineering bar for quality, reliability, and maintainability in line with Databricks standards
- Mentor engineers and SMEs across Software and Support Engineering functions

## What we look for:

- BS or higher degree in Computer Science or a related field.
- Technical leadership 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
- Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints

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**Apply:** https://hotfix.jobs/jobs/a5e36c5a-4bf3-4e48-9c2d-d8156065f8ee
**Canonical:** https://hotfix.jobs/jobs/a5e36c5a-4bf3-4e48-9c2d-d8156065f8ee