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. We are seeking an experienced Site Reliability Engineer (SRE) to join our dynamic Cloud Infrastructure team at eBay in Dublin, Ireland. This role demands a deep understanding of cloud-native technologies, particularly containers and Kubernetes, along with strong programming skills in languages such as Go and Python. The ideal candidate will have a proven track record of at least 3 years in the field, focusing on enhancing the reliability, scalability, design, development, deployment, and operation of self-service platforms that facilitate the lifecycle management of applications supporting eBay's products and services. Responsibilities • Collaborate with internal customers and partners to deliver key business outcomes. • Ensure that cloud products are reliable, scalable, efficient, and compliant with eBay's security and operational standards. • Enhance observability practices to ensure comprehensive monitoring and alerting across cloud services. • Respond to cloud incidents, perform root cause analysis, and implement corrective actions to prevent future occurrences. Develop and maintain incident response plans. • Analyze system performance metrics and make recommendations for improvements. Implement changes to optimize resource utilization and improve application performance. • Drive improvements in CI/CD processes to increase deployment velocity and reliability. • Develop and maintain automation to streamline operations, reduce manual work, and enhance system reliability. Requirements • Minimum of 5+ years of programming experience with Go or Python. • 3+ years of experience in implementing large-scale, distributed, high-availability, fault-tolerant systems and infrastructure in a production environment. • Proficiency in delivering products within a multi-functional team environment. • Demonstrated expertise in observability tools and practices, ensuring system reliability and performance. • Extensive experience with Kubernetes as an SRE, or related cloud infrastructure and cloud-native technologies. Experience in developing with Kubernetes and/or building Kubernetes controllers is highly desirable. • Deep understanding of API design and RESTful principles, with experience in building web services at scale. Preferred Skills: • Certifications in Kubernetes, lifecycle management or related fields. • Understanding application lifecycle management, CI/CD is a plus. • Experience in a high-traffic, large-scale environment. • Familiarity with additional programming languages or frameworks. • Proficiency in Agile development methodologies. • Experience in participating in open-source standards and contributing to open-source projects is a plus. • AI adoption 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 talent@ebay.com. 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.   We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.