Sr Software Engineer- Customer Experience Intelligence (CXI)
$164k - $226k • Remote • Mountain View, California; San Francisco, California
Posted 26d ago
Job Location
Mountain View, California; San Francisco, California
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
Databricks is seeking a Sr. Software Engineer to architect and deliver the company's AI-native vertical workflow platform. This role involves building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows, starting with customer support and expanding to other domains like IT, Security, Legal, and Marketing. The goal is to create a scalable, reliable, and observable platform for AI-driven business decisions.
Responsibilities
- Architect the technical vision, core infrastructure, and backend architecture for an enterprise agentic framework.
- Build a modular, multi-tenant agent platform designed for scalability across various domains and ticket-based workflows.
- Drive backend development with a focus on quality, safety, throughput, and reliability for agentic systems.
- Design state-machine and agentic workflows that can transition from human-in-the-loop to full automation.
- Implement robust backend tracing, logging, transparency, and safe execution mechanisms, including rollback capabilities.
- Act as a technical liaison between engineering teams, product, and business stakeholders to align roadmaps and unblock dependencies.
- Set a high engineering bar for backend code quality, system performance, and architectural maintainability.
- Mentor engineers and subject matter experts across different teams.
Requirements
- BS or higher degree in Computer Science or a related field.
- Experience in large projects involving 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) and enterprise compliance, data privacy, and security constraints.
Benefits
- Eligibility for annual performance bonus
- Equity
- Health insurance
- Paid Time Off (PTO)