Staff Software Engineer Customer Experience Intelligence CXI
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
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.
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 and an enterprise agentic framework. You will build a modular multi-tenant platform, design human-in-the-loop and automated workflows, implement observability and rollback mechanisms, uphold reliability standards, lead cross-functional technical work, and mentor engineers and subject-matter experts.
Requirements
- BS or higher degree in Computer Science or a related field.
- Technical leadership experience with large projects involving automation tooling, distributed systems, and APIs.
- Extensive full-stack development experience.
- Experience designing and deploying production-grade automation in complex technical environments.
- Experience with ML-assisted systems, decision support, or agentic automation.
- Knowledge of distributed data platforms, developer tooling, and large-scale infrastructure systems.
- Knowledge of AWS, Azure, GCP, enterprise compliance, data privacy, and security constraints.
Responsibilities
- Contribute to the technical vision, core infrastructure, and backend architecture for an enterprise agentic framework.
- Build a modular, multi-tenant agent platform for customer support and other operational domains.
- Drive reliable backend development with quality, safety, throughput, and reliability standards.
- Design state-machine and agentic workflows for human-in-the-loop and automated execution.
- Implement backend tracing, logging, transparency, safe execution, and rollback mechanisms.
- Act as a technical liaison across product, platform engineering, and business stakeholders.
- Set standards for backend code quality, performance, and maintainability.
- Mentor engineers and subject-matter experts.
Benefits
- Annual performance bonus eligibility.
- Equity eligibility.