Staff Software Engineer - 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 backend infrastructure for an enterprise agentic framework and build a modular multi-tenant agent platform. You will design agentic workflows, implement observability and rollback capabilities, maintain quality and reliability standards, align technical roadmaps, and mentor engineers and subject-matter experts.

Requirements

  • BS or higher degree in Computer Science or a related field
  • Extensive backend development experience with high-throughput production systems
  • Experience deploying enterprise backend infrastructure, microservices, and APIs
  • Familiarity with distributed systems, data platforms, and large-scale traffic
  • Experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation
  • Understanding of AWS, Azure, GCP, enterprise compliance, data privacy, and security constraints

Responsibilities

  • Contribute to the technical vision, infrastructure, and backend architecture for an enterprise agentic framework
  • Build a modular multi-tenant agent platform for customer support and other operational domains
  • Drive iterative backend development while maintaining quality, safety, throughput, and reliability
  • Design state-machine and agentic workflows from human validation to automated execution
  • Implement backend tracing, logging, transparency, safe execution, and rollback mechanisms
  • Align roadmaps and unblock dependencies across CXI, product, platform engineering, and business stakeholders
  • Set standards for backend code quality, performance, and maintainability
  • Mentor engineers and subject-matter experts

Benefits

  • Eligibility for annual performance bonus
  • Equity