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    <job>
      <externalid>c80b6ac1-620</externalid>
      <Title>Senior Software Engineer</Title>
      <Description><![CDATA[<p>We&#39;re looking for experienced distributed-systems engineers to join our Core Product team and advance the next generation of Alluxio&#39;s data-orchestration engine - the foundation for AI and analytics at global scale.</p>
<p>As a Senior Software Engineer, you&#39;ll work on high-impact systems problems such as:</p>
<ul>
<li>Optimizing metadata management, caching, and replication across thousands of nodes.</li>
<li>Designing concurrent, fault-tolerant services for multi-region and multi-cloud environments.</li>
<li>Evolving Alluxio&#39;s storage abstraction and scheduling layer to support large-scale AI/ML data pipelines.</li>
<li>Collaborating with internal product teams to push the limits of distributed I/O performance.</li>
</ul>
<p>This is a hands-on, architecture-plus-implementation role for engineers who love deep systems work and want visible impact in a small, senior, highly technical team.</p>
<p><strong>What You&#39;ll Own</strong></p>
<ul>
<li>Cache and metadata enhancements - design and implement improvements to caching policies, eviction logic, and metadata scalability to increase performance and reliability.</li>
<li>Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques.</li>
<li>Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large-scale clusters.</li>
<li>Feature development and integration - collaborate with product and solution-engineering teams to deliver features that support AI and analytics workloads.</li>
<li>Code quality and peer collaboration - participate in design reviews, provide constructive feedback, and ensure robust testing and observability in production systems.</li>
</ul>
<p><strong>What We&#39;re Looking For</strong></p>
<ul>
<li>Strong computer-science fundamentals and a passion for large-scale distributed systems.</li>
<li>Professional experience developing in Java, C++, or Go.</li>
<li>Practical knowledge of concurrency, replication, distributed coordination, and performance tuning.</li>
<li>Experience with distributed storage, caching, or data-access layers (e.g., Spark, Presto, Hadoop, Kubernetes).</li>
<li>Bachelor&#39;s or advanced degree in Computer Science or related technical field (or equivalent experience).</li>
</ul>
<p><strong>Why Alluxio?</strong></p>
<ul>
<li>Build infrastructure trusted by the world&#39;s largest AI and data-driven companies.</li>
<li>Join a small, senior engineering team where your designs shape the product&#39;s evolution.</li>
<li>Work directly with the original creators of open-source Alluxio.</li>
<li>A culture of empathy, curiosity, and ownership - where engineers collaborate closely to solve hard problems.</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>Java, C++, Go, Concurrency, Replication, Distributed Coordination, Performance Tuning, Distributed Storage, Caching, Data-Access Layers</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Alluxio</Employername>
      <Employerlogo>https://logos.yubhub.co/alluxio.io.png</Employerlogo>
      <Employerdescription>Alluxio powers the data layer for modern AI and analytics, with proven production at eight of the top ten internet companies and seven of the ten highest-valued enterprises globally.</Employerdescription>
      <Employerwebsite>https://alluxio.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/alluxio/1f58cf1a-9182-4f86-b51f-c5e7f3b9f938</Applyto>
      <Location>Berkeley</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
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