MTS-2 Cloud Platform Engineer

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 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 8 years of experience in the field, focusing on infrastructure lifecycle management like end to end cluster and node lifecycle automation (build, os/kubernetes upgrade and decommission) and have knowledge of and kernel debugging and tuning. 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.