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.

Senior Storage Software Engineer

About the Role

• We are looking for an experienced Storage Software Engineer with 12-15 years of software engineering experience to design, architect, and build highly scalable Block, File, and Object Storage platforms in Kubernetes environments.
• This is a deeply hands-on engineering role that combines systems programming, distributed systems, storage architecture, and cloud-native technologies. You will be responsible for building production-grade storage software with a strong focus on performance, scalability, reliability, availability, and data durability.
• The ideal candidate can take complex storage challenges end-to-end—from architecture and design to coding, testing, performance optimization, troubleshooting, and production deployment—while collaborating with other engineers to continuously evolve and strengthen the storage platform.

Responsibilities

• Design and develop distributed Block, File, and Object Storage systems.

• Architect highly available, scalable, fault-tolerant, and high-performance storage platforms.

• Write and review production-quality code using C/C++ and/or Go.

• Build Kubernetes-native storage solutions, including CSI, controllers, operators, and APIs.

• Develop and optimize storage data-plane and control-plane components.

• Lead architecture development and solve complex technical problems spanning multiple systems and domains.

• Define the future state and technical roadmap of the storage platform, balancing near-term delivery with long-term scalable architecture.

• Identify common patterns and build reusable technology solutions rather than solving only individual use cases.