Software Engineer - Distributed Systems

Job Description

Job Description

As a Sr. Staff Software Engineer – Distributed Systems at Alluxio, you will lead the end-to-end architecture and technical evolution of our next-generation distributed data platform. You will drive system-level design decisions that enable Alluxio to scale to thousands of nodes and exabytes of data, while maintaining performance, reliability, and simplicity for users.
In this role, you will operate as a technical architect and hands-on engineering leader, partnering closely with engineering teams and product management to translate complex requirements into scalable distributed system designs.
What You Will Be Able To Build and Owner：
1.Lead the end-to-end architecture and design of large-scale distributed systems powering the Alluxio platform.
2.Drive technical strategy and architectural direction across multiple teams and components.
3.Design systems that support high scalability, fault tolerance, performance optimization, and data durability.
4.Provide hands-on development and deep technical guidance in critical areas of the system.
5.Lead complex system design reviews and mentor senior engineers on distributed systems design.
6.Identify and resolve system-level performance bottlenecks and reliability challenges.
7.Collaborate with product management and engineering leadership to translate product goals into technical solutions.
8.Influence the broader technical ecosystem through open-source contributions and architectural thought leadership.

Who We Are Looking For: 
1.Master or BS degree in Computer Science or related technical field, or equivalent practical experience.
2.Proven experience of 2+ years in a technical leadership or architect role, driving system-level design and guiding engineering teams.
3.Strong hands-on software development experience in one or more general-purpose programming languages, including but not limited to Java, C/C++, or Go.
4.Deep architecting expertise in at least two of the following areas:
1)Distributed and parallel systems
2)Distributed storage systems
3)Architecting large-scale software systems
5.Demonstrated ability to design and implement high-quality, stable, and scalable end-to-end system architectures in production environments.
6.Strong analytical thinking and complex problem-solving skills.
7.Excellent communication skills and ability to influence technical direction across teams.

We Would Especially Appreciate If You Have:
1.PhD in Computer Science, Distributed Systems, or related fields.
2.Deep understanding of consensus algorithms, storage engines, or large-scale data systems.
3.Experience building or operating cloud-native infrastructure platforms.
4.Experience contributing to or maintaining open-source distributed systems projects.
5.Track record of designing systems that operate at massive scale (thousands of nodes or higher).
6.Passion for building high-performance infrastructure software.
7.Contributions to Alluxio open-source community.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Base Salary Range: $230,000 – $330,000 / year （The final base salary offer within this range is determined by various factors, including candidate experience, technical qualifications, and operational needs. ）

Compensation & Benefits: The posted range reflects the base salary range for this role. In addition to base pay, full-time positions at Alluxio are eligible for performance-based annual bonuses, equity options, and a comprehensive benefits package (including health, 401k, and paid time off).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.