Job Description
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in large-scale distributed systems, with a deep understanding of cloud platforms, schedulers, operating systems, and Kubernetes.
- Proficient in programming with Go, Python, or other relevant languages, with demonstrated experience in building automation tools and solutions using GenAI.
- Expert in troubleshooting and quickly debugging complex issues in distributed systems.
- Proven ability to manage multiple projects independently in a high-pressure environment, consistently driving for results.
- Strong communication and collaboration skills, with a focus on fostering a culture of DevOps and continuous automation.
About the team and the role:
The eBay Cloud team powers the foundational infrastructure that supports thousands of eBay applications. We operate and manage one of the industry's largest private cloud platforms based on open-source technology, which includes hundreds of Kubernetes clusters and millions of compute instances.
Our mission is to provide end-to-end governance and support for the full lifecycle of eBay applications running on our platform. We focus on enhancing the platform's cloud-native capabilities to ensure these applications are reliable, efficient, scalable and secure.
We are seeking an experienced Cloud Support Engineer to join us. You'll be a key contributor, helping eBay developers adopt cloud-native applications on our platform. This requires a deep understanding of our core cloud technology and custom functionalities.
You will drive the adoption of cloud-native principles, focusing on improving developer productivity through CI/CD automation and ensuring security compliance. We're looking for a candidate with at least 5 years of experience in a similar role, with a strong focus on cloud support within a large-scale environment.
What you will accomplish:
- Enable eBay native cloud adoption by providing expert support, solutions, and best practices to developers.
- Work collaboratively with cloud engineers to triage and resolve complex system issues.
- Translate user feedback and requirements into actionable improvements for the cloud platform.
- Utilize GenAI to develop tools and automation for cloud administration.
- Champion DevOps culture and principles, prioritizing automation to maintain a high level of reliability and efficiency.
What you will bring:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in large-scale distributed systems, with a deep understanding of cloud platforms, schedulers, operating systems, and Kubernetes.
- Proficient in programming with Go, Python, or other relevant languages, with demonstrated experience in building automation tools and solutions using GenAI.
- Expert in troubleshooting and quickly debugging complex issues in distributed systems.
- Proven ability to manage multiple projects independently in a high-pressure environment, consistently driving for results.
- Strong communication and collaboration skills, with a focus on fostering a culture of DevOps and continuous automation.
