MTS 1, Software Engineer, Full Stack

eBay•Toronto, ON

1d•CA$142,400 - CA$190,100

About The Position

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

Requirements

Full-stack development skills including data manipulation
Frontend - React, HTML/CSS
Backend - Java, TypeScript
Experience on designing large-scale distributed systems: ReactJS based UI and Java based backend
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn and apply new technologies.
5+ years work experience in software design and implementation, including 2+ years of distributed systems or data platform experience
Proven ability to design and deliver critical systems with impact.
Experience with ReactJS, SpringBoot, or similar technologies
Experience of designing and developing large-scale software applications using Object-Oriented Design and JVM languages (Java, Scala)
Proficiency in programming languages such as Java, SQL, Python, Typescript and NodeJS.
Knowledge of A/B Testing or feature flag.
Bachelor or MS degree in Computer Science or related field.

Responsibilities

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.