Staff Software Engineer- CXI
Databricks3 months ago
Base Salary
$164k - $226k/yr
Responsibilities
- Define the technical vision, core infrastructure, and backend architecture for Databricks’ Enterprise Agentic Framework.
- Build a modular, multi-tenant agent platform initially optimized for Customer Support and designed for expansion into additional enterprise domains.
- Develop backend systems with strong quality, safety, throughput, and reliability standards.
- Design state-machine and agentic workflows that support human validation and automated execution.
- Implement backend tracing, logging, transparency, safe execution, and instant rollback mechanisms for critical AI-driven decisions.
- Coordinate with CXI, Product, Platform Engineering, and business stakeholders to resolve dependencies and align roadmaps.
- Set engineering standards for backend code quality, performance, and maintainability.
- Mentor engineers and subject matter experts across Software, Support, and internal operations teams.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field.
- Extensive experience designing, building, and maintaining high-throughput production backend systems.
- Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in complex environments.
- Deep familiarity with distributed systems, data platforms, and large-scale internal or external traffic.
- Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.
- Strong understanding of AWS, Azure, and GCP environments alongside enterprise compliance, data privacy, and security constraints.
Benefits
- Comprehensive benefits and perks, with region-specific details available from Databricks.
- Additional compensation may include an annual performance bonus and equity.
Tech Stack
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.