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).
Why Alluxio?
- Build infrastructure trusted by the world’s largest AI and data-driven companies.
- Join a small, senior engineering team where your designs shape the product’s evolution.
- Work directly with the original creators of open-source Alluxio.
- A culture of empathy, curiosity, and ownership - where engineers collaborate closely to solve hard problems.
