The ideal candidate will have at least 5 years of experience in the field, focusing on kernel development, os upgrading with regular time-manner. Additionally, you will contribute to open-source projects and implement observability practices to monitor and ensure the reliability of our systems.
Responsibilities:Design, implement and manage modern cloud-native products and services that provide key competitive advantages for eBay.
Ensure that cloud products are reliable, efficient and meet eBay security and operational standards.
Adapt the latest open-source tools and technologies for use in the eBay context.
Develop high-performance applications in Go, and Java.
Implement observability tools and practices to monitor system performance and health.
Collaborate with cross-functional teams to adopt/verify new optimized Linux OS.
Contribute to open-source projects.
Stay updated with the latest developments in kernel enhancements, and security practices.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
At least 3 years of proven experience implementing large scale, distributed, high availability, fault-tolerant systems and infrastructure in a production environment and delivering products in a multi-functional team environment.
Experience with Kubernetes/Public Cloud as an administrator (or related cloud infrastructure and cloud-native technologies), experience in Developing with Kubernetes and/or building Kubernetes controllers highly desirable.
Strong programming skills in one of Java , Go, or Python.
Experience with observability tools and practices.
Identifies gaps and issues across systems and functional areas, proposes solutions, and drives those resolutions.
Experience with linux kernel development/triage.
Experience contributing to open-source projects.
Certifications in Kernel, networking, Kubernetes, or related fields.
Understanding Linux kernel tracing technologies or BPF is a plus.
Understanding Intel x86 architecture is a plus.
Understanding Qemu/KVM/Openvswitch is a plus.
Experience in a high-traffic, large-scale environment.
Familiarity with additional programming languages or frameworks.
Proficiency in Agile development methodologies.
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