MTS 1, Software Engineer

eBay•San Jose, CA

2d•Remote

About The Position

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 the team and the role: eBay, Inc. seeks MTS 1, Software Engineer in San Jose, CA

Requirements

Master’s degree, or foreign equivalent, in Computer Science, Information Systems, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.
Robotic Process Automation tools (Blue Prism & UiPath) (2 years)
Python, PySpark (2 years)
Machine Learning (1 year)
Alteryx (1 years)
Data Visualization (Tableau, PowerBI) (2 years)
Cloud technologies (AWS, Azure) (2 years)
.Net, SQL, HTML, OCR (Optical Character Recognition) (2 years)
Must be legally authorized to work in the U.S. without sponsorship.

Responsibilities

Responsible for leading the design, development, and delivery of scalable automation solutions as part of the automation team specializing in agentic (AI-driven) and Robotic Process Automation (RPA) at eBay, improving operational efficiency and accuracy across the organization.
Collaborate with cross-functional teams including Finance, Legal, Human Resources, and IT Services to identify automation opportunities, gather requirements, and implement end-to-end solutions.
Serve as the primary point of contact for all RPA initiatives, providing technical leadership, overseeing project execution, and ensuring alignment with enterprise standards and best practices.
Leverage tools such as UiPath (including Orchestrator), Jira, Git, ServiceNow, SAP, BlackLine, and other supporting technologies, including Python, REST APIs, OCR/document understanding tools, and AI/ML-based automation frameworks.
Drive intelligent automation initiatives by incorporating AI and agentic capabilities to enable cognitive decision-making and workflow orchestration, while mentoring team members, resolving complex issues, and promoting continuous improvement.