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Salary
$190k – $261k per year
Location
In office (Mountain View, San Francisco)
Seniority
Staff · 8+ years exp
Visa
H-1B filings in 12 months: 517 · for this role: 417 · green card filings: 130

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Feb 25, 2026. Databricks scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Databricks is an American software company founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow at the University of California, Berkeley. Its data intelligence platform unifies data engineering, warehousing, governance, analytics and machine learning on a lakehouse architecture that stores open table formats in a customer's own cloud object storage. Headquartered in San Francisco and available on AWS, Azure and Google Cloud, the platform is used by tens of thousands of organisations to build pipelines, dashboards and production AI applications.

P-1652

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The CXI team builds intelligent systems that orchestrate AI agents, humans, and enterprise tools to automate complex, high-volume workflows in business-critical domains. Starting with Databricks Support, the team develops agents that triage, diagnose, and resolve technical issues across distributed computing environments. The modular agent platform combines reliable infrastructure, robust observability, and continuous learning to evolve from human-guided workflows toward fully automated execution.

The Impact You Will Have

  • Lead the design and implementation of intelligent agent systems that automate complex technical workflows across distributed computing environments.
  • Define technical strategy and architectural direction for the agent platform, balancing reliability, scalability, and continuous learning capabilities.
  • Drive cross-team technical initiatives to integrate AI agents with enterprise tools and human workflows.
  • Own critical system reliability, observability, and performance at scale as the platform evolves toward full automation.
  • Mentor senior engineers and raise the technical bar across the organization through design reviews and technical guidance.

What We Look For

  • 8+ years of software engineering experience.
  • Experience building and operating large-scale distributed systems in production environments.
  • Strong proficiency in systems programming languages including Java, Scala, C++, or Go.
  • Track record of leading complex technical projects from conception through delivery, involving multiple teams or system boundaries.
  • Experience with cloud technologies including AWS, Azure, GCP, Docker, or Kubernetes.
  • Ability to influence technical direction through strong technical judgment and clear communication with both technical and non-technical stakeholders.
  • Experience with software security and systems that handle sensitive data.
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience.

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

$190,000—$261,250 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

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