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AlluxioAlluxioFoster City, CA

Staff Software Engineer

Staff Software Engineer designs and implements core components of Alluxio's distributed data orchestration platform, optimizing caching, metadata, and I/O for large-scale AI/ML workloads across multi-cloud environments. Requires strong distributed systems expertise in Java/C++/Go and technical leadership.

Salary not listed
HybridBackend Engineering

About the role

What You’ll Own

  • Cache and metadata consistency - advance Alluxio’s intelligent caching framework for multi-tenant environments (TTL policies, write-back consistency, invalidation protocols, and distributed metadata scaling).
  • High-throughput data I/O optimization - profile and optimize Alluxio’s data path across S3, GCS, HDFS, and POSIX interfaces using adaptive prefetching, async I/O, and tier-aware scheduling.
  • 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.
  • Observability and performance insights - build fine-grained metrics and tracing for cache efficiency, throughput, and latency across storage tiers.
  • Open-source leadership - drive design discussions, mentor contributors, and represent Alluxio’s core-systems direction within the OSS community.

What You’ll Do

  • Design and implement core components of Alluxio’s distributed file and object-access layer.
  • Optimize performance for large-scale, high-throughput environments using advanced concurrency and caching techniques.
  • Build scalable metadata and coordination systems that ensure strong consistency, high availability, and minimal latency.
  • Collaborate cross-functionally with product, solution-engineering, and research teams to drive roadmap and customer success.

What We’re Looking For

  • Strong computer-science fundamentals and a passion for large-scale distributed systems.
  • Professional experience developing in Java, C++, or Go.
  • Deep understanding of concurrency, replication, fault tolerance, and performance optimization.
  • Experience with distributed storage, data-access layers, or cloud infrastructure (e.g., Spark, Presto, Hadoop, Kubernetes).
  • Bachelor’s or advanced degree in Computer Science or related technical field (or equivalent experience).
  • Demonstrated technical leadership: defining architecture, mentoring peers, or driving major projects from design through release.

Skills

JavaC++GoKubernetesSparkPrestoHadoopS3GcsHdfs

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