IT Cloud Infrastructure Engineer

Sorry, this job was removed at 08:16 a.m. (CST) on Friday, May 09, 2025
San Francisco, CA
In-Office
109K-167K Annually
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

GAQ126R128
Location : San Francisco, CA or Mountain View, CA

At Databricks, we are passionate about helping data teams solve the world's most challenging 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.

At Databricks Information Technology (IT), we are a product-led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.

The Corporate Engineering team builds/provides services and infrastructure that allow our Bricksters to be successful. To accomplish this the team is dedicated to ensuring that the underlying infrastructure is running smoothly and that systems and tools are working as expected.

As an Automation / Cloud Infra Engineer, you will join a team that works diligently to understand and solve the most challenging problems through Automation. You will learn the basics of cloud and supporting infrastructure such as AWS, Kubernetes and CI/CD pipelines as foundations that are used for automation use cases. You will also get a chance to see how Corporate Engineering works closely with the business to develop automations. You will see how the corporate engineering Infrastructure team works with relevant stakeholders to translate their requirements into secure solutions, balancing security and usability.

The impact you will have:

  • Assist Infrastructure team while we roll out automation and infra that will keep Databricks' service resilient and stakeholders effective at their work.
  • Assist in the development of micros services deployed on Kubernetes and or Lambda to drive automation.
  • Test new features and provide feedback.
  • Learn the basics of cloud infrastructure, devops and operating infrastructure at scale with automation.

What we look for:

  • 2+ years of relevant experience and a degree in Computer Science, Engineering, Information Systems or related subject
  • Experience with Terraform and/or Python.
  • An ability to think from the end-users' perspective, analyze and suggest improvements.
  • You are excited to solve ambiguous problems with a collaborative team.

U.S. Citizenship Requirement:
In order to comply with U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, and facilitate compliance with other regulations such as FedRAMP High baseline, and requirements of certain federal contracts, this role is open to United States citizens on United States Soil only.


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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.


Zone 1 Pay Range
$108,700$166,700 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, please visit https://www.mybenefitsnow.com/databricks. 

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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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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