• Alluxio 是全球领先的高性能数据平台提供商，聚焦于大数据分析和 AI 场景，可加速企业 AI 产品价值变现，并最大化基础设施的投资回报率。Alluxio 数据平台位于计算与存储系统之间，能够在数据工作流的各个阶段为数据平台上的工作负载提供统一视图。无论数据位于何处，该平台均可提供高性能的数据访问，简化数据工程，提高 GPU 利用率，并降低云计算和存储成本。企业无需使用专用存储，即可大幅加速模型训练和模型服务，并在现有数据湖上构建 AI 基础设施。Alluxio 在头部投资者的支持下，为全球科技、互联网、金融和电 信企业提供服务，目前全球排名前 10 的互联网公司中有 9 家在使用 Alluxio。
• 我们正在寻找一个充满活力、创新的销售“猎人”，有开发新业务的天赋，并在中国识别 和销售全球 2000 强。你将负责制定销售策略和执行计划，以提高业绩并赚取可观的佣金。你将依靠你的经验和良好的判断力来积极建立和增长客户，并推动在你的领域逐年增长。

• 寻找和维护区域大客户，拓展战略机会;
• 利用 Alluxio 销售手册快速锁定优质客户;
• 管理和增加目标客户的收入和市场份额，以最大限度地提高客户满意度，实现公司的战略目标;
• 与客户建立并维护良好的合作关系，了解客户真实需求，解决客户问题并提供专业建议，最终推动收入增长;
• 对行业、市场动态和客户需求进行及时分析，提供定期的业务报告和反馈。

• 5 年以上中国市场企业级软件销售经验，包括新业务开发和原有业务拓展;
• 有成功创业经验者或在创业公司工作经历优先;
• 具有 AI 和机器学习平台、大数据应用、以及存储、企业应用集成、数据库、基础设施软件概念和产品相关的工作经验优先;
• 具有开源转化经验优先;
• 拥有解决方案工程师/SE经验者优先考虑;
• 熟悉销售新概念、挑战者销售和价值驱动销售;
• 善于团队协作;
• 本科及以上学历，计算机相关专业优先;
• 具备与企业数据平台、企业机器学习平台等相关部门负责人及以上级别管理者进行高质量业务沟通和对话的能力，能够准确理解高层关注点并有效传递产品与业务价值；
• 能够熟练使用 Salesforce 工具。

About Alluxio

Alluxio powers the data layer for modern AI and analytics. Proven in production at eight of the top ten internet companies and seven of the ten highest-valued enterprises globally, Alluxio’s data orchestration platform unifies data across storage systems, regions, and clouds providing a high-performance distributed caching layer built for large-scale AI workloads.

Spun out of UC Berkeley’s AMPLab by the creators of Tachyon and backed by Andreessen Horowitz, Hillhouse Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems, and AI infrastructure.

Our technology is deployed at scale by organizations such as Meta, Uber, Tencent, TikTok, Alibaba, Expedia, Rakuten, Microsoft, and Walmart, orchestrating data for billions of operations per day. Learn more at alluxio.io or on Wikipedia.

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 Senior Software Engineer, you’ll work on high-impact systems problems such as:

1. Optimizing metadata management, caching, and replication across thousands of nodes.

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

3. Evolving Alluxio’s storage abstraction and scheduling layer to support large-scale AI/ML data pipelines.

4. 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 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.

• 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.

• 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).

• 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.

Alluxio is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

The base salary range for this full-time position in the United States is $190,000 - $260,000 depending on experience and level, subject to standard withholding and applicable taxes. All candidates will also receive equity (stock options) and access to a comprehensive benefits package. The base salary range reflects the minimum and maximum target for candidates across all US locations. The specific compensation awarded will be based on factors such as work location, skills, experience, and relevant education or training. Our Recruiting Team or Hiring Manager will provide more details about the specific salary range during the recruitment process.

About Alluxio

Alluxio powers the data layer for modern AI and analytics. Proven in production at eight of the top ten internet companies and seven of the ten highest-valued enterprises globally, Alluxio’s data orchestration platform unifies data across storage systems, regions, and clouds providing a high-performance distributed caching layer built for large-scale AI workloads.

Spun out of UC Berkeley’s AMPLab by the creators of Tachyon and backed by Andreessen Horowitz, Hillhouse Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems, and AI infrastructure.

Our technology is deployed at scale by organizations such as Meta, Uber, Tencent, TikTok, Alibaba, Expedia, Rakuten, Microsoft, and Walmart, orchestrating data for billions of operations per day. Learn more at alluxio.io or on Wikipedia.

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. Optimizing metadata management, caching, and replication across thousands of nodes.

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

3. Evolving Alluxio’s storage abstraction and scheduling layer to support large-scale AI/ML data pipelines.

4. 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).
• 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.

• 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.

• 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.

• 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.

Alluxio is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

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. All candidates receive generous equity (stock options) and access to a comprehensive benefits offering.  The base salary range reflects the minimum and maximum target for candidates across all US locations. Work location, skills, experience, and any relevant education or training determine the compensation awarded to the candidate. The Recruiting Team or Hiring Manager can share more about the specific salary range with you during the recruitment process.