Databricks

Staff Software Engineer- CXI

Databricks$164K — $225K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS or higher degree in Computer Science or related field.
  • Extensive backend development experience with high-throughput production systems.
  • Proven experience deploying enterprise-grade backend infrastructure and microservices.
  • Familiarity with distributed systems and handling large-scale traffic.
  • Hands-on experience with ML-assisted backend systems and state machines.
  • Strong understanding of multi-cloud environments and enterprise compliance.

Responsibilities

  • Architect the technical vision and backend architecture for the Enterprise Agentic Framework.
  • Build a modular, multi-tenant agent platform optimized initially for Customer Support.
  • Drive rapid backend development while maintaining quality and reliability standards.
  • Design workflows that transition from human validation to full automation.
  • Implement observability features including rollback mechanisms for AI-driven decisions.
  • Act as a liaison between CXI, Product, and engineering teams to align roadmaps.
  • Mentor engineers and cultivate subject matter experts across teams.

Benefits

  • Comprehensive benefits that meet diverse employee needs.
  • Annual performance bonuses and equity options.
Full Job Description
P-1691

As the Staff Software Engineer for Customer Experience Intelligence, you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.
The Impact You Will Have:
  • Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks' next-generation Enterprise Agentic Framework.
  • Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.
  • Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.
  • Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.
  • Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.
  • Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.
  • Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.
  • Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.
What we look for:
  • BS or higher degree in Computer Science or a related 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 highly complex environments.
  • Deep familiarity with distributed systems, data platforms, and handling 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 multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$164,200-$225,700 USD

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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