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  <jobs>
    <job>
      <externalid>c571d7f7-d82</externalid>
      <Title>Engineering Manager - Storage</Title>
      <Description><![CDATA[<p>At Databricks, we are building and running the world&#39;s best data and AI infrastructure platform. As an Engineering Manager, you will work with your team to build mission-critical Lakebase services on the Databricks Platform at scale.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust.</li>
<li>Manage the development and rollout of storage services that host millions of customer databases across dozens of regions</li>
<li>Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure.</li>
<li>Lead operational excellence in 24/7 operation of our system</li>
</ul>
<p>The impact you will have:</p>
<ul>
<li>Hire great engineers to build an outstanding team.</li>
<li>Support engineers in their career development by providing clear feedback and develop engineering leaders.</li>
<li>Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).</li>
<li>Work with engineering and product leadership to build a long-term roadmap.</li>
<li>Coordinate execution and collaborate across teams to unblock cross-cutting projects.</li>
</ul>
<p>What we look for:</p>
<ul>
<li>Experience with building and shipping storage systems where correctness and performance are essential</li>
<li>BS (or higher) in Computer Science, or a related field</li>
<li>2+ years of experience building and leading a team of engineers working in a related system</li>
<li>Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.</li>
<li>Ability to attract, hire, and coach engineers who meet the Databricks hiring standards</li>
<li>Comfort working on cross-functional projects with the ability to deeply understand product and customer personas</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>storage technology, distributed systems, Rust, Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a data and AI infrastructure platform for customers to use deep data insights to improve their business.</Employerdescription>
      <Employerwebsite>https://databricks.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8476581002</Applyto>
      <Location>London, United Kingdom</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>