Alluxio

Staff Software Engineer

Foster City, California · Staff+ · Full-time

Sponsorship not specified$240k-$315kDetected 792 days ago

JavaC++Distributed SystemsCloud PlatformsKubernetesMachine LearningSparkResearchLeadershipMentoring

About the role

We're looking for experienced distributed-systems engineers to join our Core Product team and advance the next generation of Alluxio's data-orchestration engine - the foundation for AI and analytics at global scale.
As a Staff Software Engineer, you'll work on high-impact systems problems such as: 1.

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.
Professional experience developing in Java, C++, or Go.
Demonstrated technical leadership: defining architecture, mentoring peers, or driving major projects from design through release.
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.
A culture of empathy, curiosity, and ownership - where engineers collaborate closely to solve hard problems.

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).

Optimizing metadata management, caching, and replication across thousands of nodes.
Collaborating with internal product teams to push the limits of distributed I/O performance.
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.
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).
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.

Designing concurrent, fault-tolerant services for multi-region and multi-cloud environments.

The salary range for this US full-time position is $240,000-$315,000, depending on experience, and subject to standard withholding and applicable taxes.

This listing is sourced directly from Alluxio's careers page and normalized into a canonical job model.