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About the Role
We are looking for a highly skilled, self-propelled and self-motivated Storage Data Plane Software Engineer to lead the design, development, and optimization of performance-critical data plane components in large-scale distributed storage systems. In this role, you will take ownership of complex subsystems, drive technical decisions, and deliver highly reliable, low-latency storage solutions used in production at scale. You will work closely with cross-functional partners across control plane, infrastructure, and reliability teams.
Key Responsibilities
- Design, build, and own core storage data plane components for distributed systems
- Lead the development of high-performance, low-latency code in C++ or GOLANG
- Drive architectural decisions related to I/O paths, concurrency, memory management, and scalability
- Identify and resolve performance bottlenecks through profiling, benchmarking, and tuning
- Own production issues end-to-end, including root cause analysis and long-term fixes
- Collaborate with control plane, SRE, and infrastructure & hardware engineering teams to ensure system reliability
- Review designs and code, providing technical mentorship and guidance
- Contribute to long-term technical roadmap and best practices
- Be oncall
- Strong Kubernetes
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
- Professional software engineering experience
- Strong expertise in Linux operating systems, distributed systems, and systems programming
- Proven experience developing production-grade systems in C++ or Go
- Deep understanding of concurrency, memory management, and performance optimization
- Strong debugging skills in complex, large-scale Linux environments & Kubernetes.
Preferred Qualifications
- Hands-on experience with large-scale storage systems (block, file, or object storage)
- Knowledge of storage technologies such as NVMe, SSDs, replication, sharding, and caching
- Experience building or operating distributed systems at cloud scale
- Familiarity with failure modes, resiliency patterns, and observability in storage systems
- Experience mentoring engineers and leading technical initiatives
What We Offer
- Ownership of critical storage infrastructure components
- Opportunity to influence architecture and long-term technical direction
- Collaborative environment with high technical standards
- Competitive compensation and benefits
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.
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