{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/at/alluxio"},"x-facet":{"type":"company","slug":"alluxio","display":"Alluxio","count":6},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aa7543fd-8bc"},"title":"Staff Software Engineer","description":"<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>\n<p>As a Staff Software Engineer, you&#39;ll work on high-impact systems problems such as optimizing metadata management, caching, and replication across thousands of nodes; designing concurrent, fault-tolerant services for multi-region and multi-cloud environments; evolving Alluxio&#39;s storage abstraction and scheduling layer to support large-scale AI/ML data pipelines; and collaborating with internal product teams to push the limits of distributed I/O performance.</p>\n<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>\n<p><strong>What You&#39;ll Own</strong></p>\n<ul>\n<li>Cache and metadata consistency - advance Alluxio&#39;s intelligent caching framework for multi-tenant environments (TTL policies, write-back consistency, invalidation protocols, and distributed metadata scaling).</li>\n<li>High-throughput data I/O optimization - profile and optimize Alluxio&#39;s data path across S3, GCS, HDFS, and POSIX interfaces using adaptive prefetching, async I/O, and tier-aware scheduling.</li>\n<li>Scaling for AI and analytics workloads - evolve the coordination layer to efficiently serve distributed AI training clusters, accelerating model load and shuffle operations across regions and clouds.</li>\n<li>Observability and performance insights - build fine-grained metrics and tracing for cache efficiency, throughput, and latency across storage tiers.</li>\n<li>Open-source leadership - drive design discussions, mentor contributors, and represent Alluxio&#39;s core-systems direction within the OSS community.</li>\n</ul>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Design and implement core components of Alluxio&#39;s distributed file and object-access layer.</li>\n<li>Optimize performance for large-scale, high-throughput environments using advanced concurrency and caching techniques.</li>\n<li>Build scalable metadata and coordination systems that ensure strong consistency, high availability, and minimal latency.</li>\n<li>Collaborate cross-functionally with product, solution-engineering, and research teams to drive roadmap and customer success.</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Strong computer-science fundamentals and a passion for large-scale distributed systems.</li>\n<li>Professional experience developing in Java, C++, or Go.</li>\n<li>Deep understanding of concurrency, replication, fault tolerance, and performance optimization.</li>\n<li>Experience with distributed storage, data-access layers, or cloud infrastructure (e.g., Spark, Presto, Hadoop, Kubernetes).</li>\n<li>Bachelor&#39;s or advanced degree in Computer Science or related technical field (or equivalent experience).</li>\n<li>Demonstrated technical leadership: defining architecture, mentoring peers, or driving major projects from design through release.</li>\n</ul>\n<p><strong>Why Alluxio</strong></p>\n<ul>\n<li>Build infrastructure trusted by the world&#39;s largest AI and data-driven companies.</li>\n<li>Join a small, senior engineering team where your designs shape the product&#39;s evolution.</li>\n<li>Work directly with the original creators of open-source Alluxio.</li>\n<li>A culture of empathy, curiosity, and ownership - 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the foundation for AI and analytics at global scale.</p>\n<p>As a Senior Software Engineer, you&#39;ll work on high-impact systems problems such as:</p>\n<ul>\n<li>Optimizing metadata management, caching, and replication across thousands of nodes.</li>\n<li>Designing concurrent, fault-tolerant services for multi-region and multi-cloud environments.</li>\n<li>Evolving Alluxio&#39;s storage abstraction and scheduling layer to support large-scale AI/ML data pipelines.</li>\n<li>Collaborating with internal product teams to push the limits of distributed I/O performance.</li>\n</ul>\n<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>\n<p><strong>What You&#39;ll Own</strong></p>\n<ul>\n<li>Cache and metadata enhancements - design and implement improvements to caching policies, eviction logic, and metadata scalability to increase performance and reliability.</li>\n<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>\n<li>Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large-scale clusters.</li>\n<li>Feature development and integration - collaborate with product and solution-engineering teams to deliver features that support AI and analytics workloads.</li>\n<li>Code quality and peer collaboration - participate in design reviews, provide constructive feedback, and ensure robust testing and observability in production systems.</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Strong computer-science fundamentals and a passion for large-scale distributed systems.</li>\n<li>Professional experience developing in Java, C++, or Go.</li>\n<li>Practical knowledge of concurrency, replication, distributed coordination, and performance tuning.</li>\n<li>Experience with distributed storage, caching, or data-access layers (e.g., Spark, Presto, Hadoop, Kubernetes).</li>\n<li>Bachelor&#39;s or advanced degree in Computer Science or related technical field (or equivalent experience).</li>\n</ul>\n<p><strong>Why Alluxio?</strong></p>\n<ul>\n<li>Build infrastructure trusted by the world&#39;s largest AI and data-driven companies.</li>\n<li>Join a small, senior engineering team where your designs shape the product&#39;s evolution.</li>\n<li>Work directly with the original creators of open-source Alluxio.</li>\n<li>A culture of empathy, curiosity, and ownership - 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This role bridges the worlds of AI infrastructure and distributed data systems, guiding how Alluxio evolves to serve next-generation model architectures and large-scale data flows.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Define the long-term vision and roadmap for Alluxio&#39;s AI data platform, covering inference, training, and agentic workloads.</li>\n<li>Collaborate with engineering to design features that deliver high-throughput, low-latency data access (e.g., GPU-aware caching, streaming reads, tiered prefetching).</li>\n<li>Ensure seamless integration with frameworks like PyTorch, TensorFlow, Ray, and Triton; evolve Alluxio&#39;s APIs for AI-native workloads.</li>\n<li>Engage directly with enterprise AI teams to understand workload patterns, validate impact, and prioritize roadmap direction.</li>\n<li>Stay ahead of trends in multi-model serving, retrieval-augmented generation (RAG), and agentic orchestration; translate them into actionable product plans.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5–9 years of experience in product management or technical leadership within AI infrastructure, ML platforms, or distributed systems.</li>\n<li>Strong understanding of AI/ML workflows , from model training and deployment to inference and data-access pipelines.</li>\n<li>Proven track record of delivering infrastructure features that improve latency, GPU utilization, or total cost of ownership.</li>\n<li>Technical fluency with distributed systems, caching, and cloud orchestration (Kubernetes, AWS/GCP/Azure).</li>\n<li>Familiarity with AI frameworks such as PyTorch, TensorFlow, Triton, Ray, or LangChain.</li>\n<li>Exceptional communication and strategic thinking , ability to translate complex systems work into clear, prioritized roadmaps.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Shape how the world&#39;s most advanced AI systems access and process data.</li>\n<li>Work at the intersection of distributed systems, AI acceleration, and open source.</li>\n<li>Collaborate with world-class engineers, researchers, and customers driving the AI frontier.</li>\n<li>Competitive compensation and equity package with comprehensive benefits.</li>\n<li>A culture built on curiosity, empathy, and deep technical rigor.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3c4831ed-fa8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Alluxio","sameAs":"https://alluxio.io","logo":"https://logos.yubhub.co/alluxio.io.png"},"x-apply-url":"https://jobs.lever.co/alluxio/e7e0f8a4-83ed-416b-9f95-7f3ed8abfa52","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Distributed systems","Caching","Cloud orchestration","Kubernetes","AWS/GCP/Azure","PyTorch","TensorFlow","Triton","Ray","LangChain"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:15:34.231Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Distributed systems, Caching, Cloud orchestration, Kubernetes, AWS/GCP/Azure, PyTorch, TensorFlow, Triton, Ray, LangChain"}]}