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Alluxio

Data management platform for AI workloads

Senior Staff Software Engineer – Distributed Systems

Software EngineeringConfirmed live in the last 24 hours
Full-timeFoster City, CA, USAIn-person

About the Job

Requirements

  • A Master's or Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • At least 2 years of experience in a technical leadership or architect role, driving system-level design and guiding engineering teams.
  • Strong hands-on software development experience in one or more general-purpose programming languages, including Java, C/C++, or Go.
  • Deep architecting expertise in at least two of these areas: distributed and parallel systems, distributed storage systems, or architecting large-scale software systems.
  • Demonstrated ability to design and implement high-quality, stable, and scalable end-to-end system architectures in production environments.
  • Strong analytical thinking and complex problem-solving skills.
  • Excellent communication skills and ability to influence technical direction across teams.

Responsibilities

  • Lead the end-to-end architecture and design of large-scale distributed systems powering the Alluxio platform.
  • Drive technical strategy and architectural direction across multiple teams and components.
  • Design systems that support high scalability, fault tolerance, performance optimization, and data durability.
  • Provide hands-on development and deep technical guidance in critical areas of the system.
  • Lead complex system design reviews and mentor senior engineers on distributed systems design.
  • Identify and resolve system-level performance bottlenecks and reliability challenges.
  • Collaborate with product management and engineering leadership to translate product goals into technical solutions.
  • Influence the broader technical ecosystem through open-source contributions and architectural thought leadership.

Desired Qualifications

  • A PhD in Computer Science, Distributed Systems, or related fields.
  • Deep understanding of consensus algorithms, storage engines, or large-scale data systems.
  • Experience building or operating cloud-native infrastructure platforms.
  • Experience contributing to or maintaining open-source distributed systems projects.
  • A track record of designing systems that operate at massive scale, such as thousands of nodes or higher.
  • Contributions to the Alluxio open-source community.

About the Company

Alluxio

Data management platform for AI workloads

Alluxio provides a data management platform for AI and ML workloads. It sits between compute and storage with two products, Alluxio Enterprise Data and Alluxio Enterprise AI, offering a unified interface to manage data across clouds, regions, and storage systems. This helps reduce data silos, minimize data movement, and improve data access latency, boosting GPU utilization and accelerating model training and serving. The goal is to simplify data engineering, cut infrastructure complexity and cost, and help enterprises accelerate their AI initiatives.

Company size
51-200
Company stage
Series C
Total funding
$81.5M
Headquarters
San Mateo, CA
Founded
2015

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