MTS 1, Full Stack Software Engineer

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.

About eBay

eBay is a global commerce leader that connects millions of buyers and sellers around the world. We empower people and create economic opportunities for individuals, businesses, and communities. We're driven by a vision to create a more sustainable form of commerce that benefits the environment and society as a whole. Join us as we continue to innovate and shape the future of e-commerce.

Job Description:

Cloud Data Technologies (CDT) team at eBay is responsible for all the data infrastructure and management of end-to-end data lifecycle for all eBay data from onsite to analytics use cases.

About the role:

We are seeking an experienced Full Stack Software Engineer to help us develop eBay’s experimentation and feature flag platform.

What you will do and learn:

- Implement the distributed platform with macro-services for eBay’s feature flag and experimentation working through the entire stack from UI to the backend

- Contribute to long-term architecture through design reviews, ensuring scalability and resilience.

- Enhance and support the system with low latency, high throughput and scalability requirements using multiple technologies such as NodeJS and Java.

- Drive operational excellence for services you own, including observability and incident response.

- Collaborate with data scientists, domain business customers, and other engineering teams to define and refine product requirements and tech solutions.