---
title: 'Software Engineer - Distributed Systems (Beijing) at Alluxio'
canonical: 'https://feeny.ai/job/software-engineer-distributed-systems-beijing-alluxio-china-x27mhctkqchx'
type: 'job'
last_seen: '2026-09-10'
---

# Software Engineer - Distributed Systems (Beijing) at Alluxio

- **Company:** Alluxio
- **Location:** China
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2020-09-11
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/alluxio/ad547017-b276-4c99-ae4e-4c5a073daf93

## Job description

Are you interested in joining a group of highly talented engineers working on a open source project that is solving challenging problems across big data analytics, machine learning and artificial intelligence? As customers continuously push the envelope for ways to extract value from data, Alluxio is driving innovation in data access and management for large scale distributed systems. Alluxio (a.k.a Tachyon Nexus) a project from AMPLab like Apache Spark and Mesos is charging full steam to help customers navigate the digital transformation. . The Alluxio team includes leaders, innovators, explorers, and risk-takers with extensive industry experience from top tech companies including Google, Palantir and VMWare and alumni from top computer science programs including CMU, Stanford and UC Berkeley. The company is backed by Andreessen-Horowitz and has been named as top 10 hot startups for 2018.

As a distributed systems engineer at Alluxio you will be responsible for evolving the state-of-the-art Alluxio ( also knows as Tachyon Nexus earlier) project. The work would involve solving challenging problems in the area of Distributed Data Services, Memory and data structure efficiency, Thread concurrency and locking optimizations, process coordination and caching policies and implementation. The role would include developing innovative solutions for scaling systems to thousands of node and providing Data Durability and High Availability.

## Minimum Qualifications

- BS degree in Computer Science, similar technical field of study or equivalent practical experience.
- Software development experience in one or more general purpose programming languages including but not limited to: Java, C/C++, or Go.
- Experience working with two or more from the following is a must: distributed and parallel systems, distributed storage systems, architecting large scale software systems, and/or security software development.
- Excellent analytical and problem solving skills.
- Working proficiency and communication skills in verbal and written English.

## Preferred Qualifications

- Master’s, PhD degree, further education or equivalent practical experience in engineering, computer science or other technical related field.
- Experience designing, developing, and deploying Kubernetes applications.
- Proficiency in one or more general purpose programming languages including but not limited to: Java, C/C++, or Go.
- Interest and ability to learn other coding languages as needed.
- Experience contributing to and/or maintaining an open source project.
- Ability and desire to work in a fast paced, collaborative and iterative programming environment.
- Contributed or contributing to Alluxio.

## About Alluxio

## Company Overview
- **One-liner**: Alluxio provides a high-performance distributed caching platform that accelerates AI and data-intensive workloads across hybrid and multi-cloud environments.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Mateo, California, United States
- **Founded**: 2015
- **Founders**: Haoyuan "H.Y." Li

## Core Business
- **Primary industry**: AI Data Infrastructure, High-Performance Data Caching
- **Target customers**: B2B; AI and Data Platform teams at large internet companies, enterprises, and organizations running AI/ML workloads
- **Mission or purpose statement**: To empower all AI and data teams to unlock the full potential of their data and drive innovation — freeing developers to focus on creating business impact without being burdened by concerns about data access, storage, or infrastructure complexity.

## Products & Services
- **Alluxio AI Acceleration Platform**: A high-throughput, low-latency distributed caching layer that sits between compute (model training, inference servers, feature stores) and persistent storage (cloud/S3, data lakes, HDFS, NFS). It accelerates the full AI lifecycle — from data preparation to training to inference — without requiring data migration, code rewrites, or workflow changes. Supports S3 API, POSIX, and Python, and works across single, multi, hybrid, and on-premises cloud environments.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Annual Revenue of $25M (estimated); Total Funding of $73M
- **Notable Investors/Partners**:
    - Andreessen Horowitz (led Series A and Series B)
    - Hillhouse Investment (led Series C)
    - Seven Seas Partners (led Series B)
    - Volcanics Venture (participated in Series B)
- **Growth Signals**:
    - Powers nine of the world’s top ten internet companies.
    - Estimated headcount of 67 employees (-5.1% YoY), with offices in the US, China, Hong Kong, Singapore, and Chile.
    - Customers achieve sub-millisecond time-to-first-byte (TTFB) latency and over a TB/sec of throughput.

## Competitive Advantages
- **Data Caching, Not Storage**: Alluxio acts as a transparent acceleration layer — it doesn’t replace existing storage, avoiding vendor lock-in or data migration.
- **AI-Native & Cloud-Agnostic**: Purpose-built for deep learning frameworks (PyTorch, TensorFlow, Spark, Ray) and works out-of-the-box with any cloud, on-prem, or hybrid setup.
- **Developer-Friendly**: Requires no code changes, workflow modifications, or replatforming — built-in support for S3 API, POSIX, and Python means teams adopt it with zero friction.
- **Hard Moat**: Institutional trust — nine of the world’s top ten internet companies rely on the platform, creating steep switching costs and defensive network effects.

## Strategic Focus
- Doubling down on AI acceleration as the primary growth vector, bridging the gap between GPU scarcity and data access latency.
- Continued investment in hybrid and multi-cloud compatibility to serve enterprises with complex infrastructure footprints.
- Growing engineering headcount in distributed systems and AI infrastructure, with open roles for Senior Software Engineers in both the US (Foster City, CA) and China (Beijing/Shanghai).

## Why Work Here
- **Culture**: Described by employees as collaborative, supportive, and innovative, with a leadership team that is open and values work-life balance.
- **Hybrid & Remote**: Roles are offered in hybrid (Foster City, CA), on-site (Beijing/Shanghai), and some remote arrangements depending on the function.
- **Perks**:
    - Flexible vacation policy
    - Comprehensive medical, dental, and vision coverage
    - Commute reimbursement (monthly stipend)
    - Paid parental leave
    - Daily lunch, dinner, and weekly boba in the Foster City office
    - Unlimited snacks and drinks in the office
    - Monthly team bonding events and celebrations
- **Engineering culture**: Positions emphasize working on foundational distributed systems that power AI innovation; team is described as world-class and highly skilled.

## Sources
1. [alluxio.io - About](https://www.alluxio.io/about)
2. [alluxio.io - Careers](https://www.alluxio.io/careers)
3. [jobs.lever.co/alluxio](https://jobs.lever.co/alluxio)
4. [alluxio.io - Home](https://www.alluxio.io/?lang=en)
5. [linkedin.com/company/alluxio-inc-](https://www.linkedin.com/company/alluxio-inc-)

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