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AlluxioAlluxio

Senior Software Engineer

Senior Software Engineer designs and optimizes distributed systems for Alluxio's data orchestration platform, focusing on caching, metadata management, I/O performance, and fault-tolerance in multi-cloud environments. Requires strong experience in Java/C++/Go and distributed storage technologies like Spark, Hadoop, and Kubernetes.

About the job

What You’ll Own

  • Cache and metadata enhancements - design and implement improvements to caching policies, eviction logic, and metadata scalability to increase performance and reliability.
  • Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques.
  • Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large-scale clusters.
  • Feature development and integration - collaborate with product and solution-engineering teams to deliver features that support AI and analytics workloads.
  • Code quality and peer collaboration - participate in design reviews, provide constructive feedback, and ensure robust testing and observability in production systems.

What You’ll Do

  • Design, build, and optimize distributed components within Alluxio’s orchestration layer.
  • Investigate performance bottlenecks and propose scalable solutions using profiling, tracing, and benchmarking tools.
  • Collaborate cross-functionally with fellow engineers, architects, and the open-source community to drive improvements.
  • Contribute to releases and stability efforts, ensuring enterprise-grade reliability across global deployments.

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.
  • Practical knowledge of concurrency, replication, distributed coordination, and performance tuning.
  • Experience with distributed storage, caching, or data-access layers (e.g., Spark, Presto, Hadoop, Kubernetes).
  • Bachelor’s or advanced degree in Computer Science or related technical field (or equivalent experience).

Skills

Java, C++, Go, Kubernetes, Hadoop, Spark, Presto, S3, Gcs, Hdfs

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