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.
190k – 261k
HybridFullstack Engineering
About the role
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
Skills
Full Stack DevelopmentDistributed SystemsAPIsMachine LearningAgentic AutomationAWSAzureGCPKubernetesObservability
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