Staff Software Engineer- CXI

Cacheflow; San Francisco (CA); On-site; USD 164,200 - 225,700; Full time

Job summary

Databricks is hiring for a senior backend architect to design and scale the enterprise Agentic Framework. You will help build a multi-tenant platform across domains and ensure robust, observable, and secure backend systems.

Lead cross-functional initiatives with Product and Platform Engineering, mentor engineers, and raise the bar on code quality and performance. This is an on-site role based in San Francisco, offering a competitive compensation package.

Qualifications

• BS or higher in Computer Science or 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.

Responsibilities

• Architect the Agentic Ecosystem: contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework.
• Scale across domains: build a vertical modular, multi-tenant agent platform initially for Customer Support and expand to IT, Security, Compliance, Marketing, HR, Legal and ticket workflows.
• Engineer reliability: drive rapid, iterative backend development while upholding quality, safety, throughput, and reliability standards for agentic-based systems.
• Orchestrate complex workflows: design state-machine and agentic workflows evolving from human-in-the-loop to full automation.
• Enterprise-grade observability: implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms.
• Cross-functional leadership: liaison between CXI, Product, Platform Engineering, and stakeholders to unblock dependencies and align roadmaps.
• Raise the bar: set a high engineering bar for backend code quality, system performance, and architectural maintainability.
• Mentor and cultivate: mentor engineers and SMEs across Software, Support, and internal operations teams.

Skills

Backend development

Distributed systems

ML-assisted backend

LLM orchestration

Multi-cloud (AWS, Azure, GCP)

API design

Education

BS in Computer Science or related field

Job description

P-1691

At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact.

Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.

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

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At 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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.