Sr Software Engineer- 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. Backend Software Engineer for its Customer Experience Intelligence (CXI) team. This role will involve architecting and delivering Databricks' AI-native vertical workflow platform, which orchestrates AI agents, humans, and enterprise tools into end-to-end operational workflows. The platform is initially focused on customer support but is designed to expand into other domains like IT, Security, Legal, and Marketing, with a roadmap for broader productization. You will contribute to the technical vision, core infrastructure, and backend architecture for an enterprise agentic framework, ensuring reliability, scalability, and enterprise-grade observability for AI-driven systems.
Responsibilities
- Architect the technical vision, core infrastructure, and backend architecture for the Enterprise Agentic Framework.
- Build a modular, multi-tenant agent platform scalable across multiple domains beyond customer support.
- Drive rapid backend development while maintaining high standards for quality, safety, throughput, and reliability.
- Design state-machine and agentic workflows for seamless human-in-the-loop to fully automated execution.
- Implement robust backend tracing, logging, transparency, and safe execution mechanisms, including rollback.
- Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders.
- Set a high engineering bar for backend code quality, system performance, and architectural maintainability.
- Mentor engineers and subject matter experts across various teams.
Requirements
- BS or higher degree in Computer Science or a related engineering field.
- Extensive backend development experience designing, building, and maintaining high-throughput production systems.
- Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in complex environments.
- Deep familiarity with distributed systems, data platforms, and handling large-scale traffic.
- Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.
- 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)