At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the team and the role: 

The eBay Cloud fleet/core team powers the foundational cloud infrastructure that supports thousands of eBay applications. As one of the largest private cloud platforms in the industry, we operate and manage hundreds of Kubernetes clusters across diverse environments, comprising millions of compute instances.

Our team is responsible for the full lifecycle management of these clusters—including provisioning, OS and Kubernetes upgrades, technical refreshes, and decommissioning. We also customize the Linux operating system for our Kubernetes platform, enhancing the kernel to meet eBay’s rigorous scalability, reliability, and security requirements.

The ideal candidate will have at least 5 years of experience in the field, focusing on kernel development and cluster automation(build, os/kubernetes upgrade and decommission). You will also drive the implementation of observability practices to monitor, troubleshoot, and ensure the reliability of our infrastructure at scale.

What you will accomplish: 

• Design, develop, and maintain a robust, high-performance Kubernetes fleet management system encompassing cluster, availability zone (AZ), and node lifecycle operations, with a rapid adoption of the latest Kubernetes releases.

• Contribute to kernel development and performance tuning to enhance system scalability, reliability, and efficiency; stay up to date with the latest advancements in kernel and security technologies.

• Build high-performance tools and services using Go and Python to support infrastructure automation and diagnostics.

• Collaborate with cross-functional teams to validate, adopt, and integrate optimized Linux OS distributions across diverse infrastructure environments.

• Implement robust observability frameworks to monitor system health, ensure performance, and support proactive issue resolution at scale.

What you will bring: 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Minimum of 5 years of hands-on experience with Linux systems, including a strong understanding of Linux kernel development and OS internals—such as process scheduling, memory management, file systems, and networking.

• Proficient in programming with C++, Go, or Python.

• Deep expertise in orchestrating containerized applications and building scalable cluster management systems.

• Skilled at identifying system-level gaps and cross-functional issues, proposing effective solutions, and driving end-to-end resolution.

• Demonstrated ability to lead and mentor team members, manage small projects, and collaborate effectively across teams to drive impactful change.

#LI-CH2

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.