--- title: 'Senior Software Engineer at Alluxio' canonical: 'https://feeny.ai/job/senior-software-engineer-alluxio-foster-city-09mhdfht3ydv' type: 'job' last_seen: '2026-09-10' --- # Senior Software Engineer at Alluxio - **Company:** Alluxio - **Location:** Foster City, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2024-11-18 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/alluxio/1f58cf1a-9182-4f86-b51f-c5e7f3b9f938 ## Job description ## 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. ## 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. 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 ## 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. 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