PayPal - San Jose, CA
posted 3 months ago
Full-time - Mid Level
Hybrid - San Jose, CA
Credit Intermediation and Related Activities
About the position
The position is for a full-stack engineer at PayPal, focusing on building Data Governance solutions for AI Personalization. This role is crucial in developing and enabling Machine Learning Teams to create and deploy models with high standards of data reliability and quality. The engineer will work on creating a personalized shopping and checkout experience for over 400 million consumers and 30 million merchants worldwide, ensuring data accuracy, compliance, and accessibility through advanced data governance solutions.
Responsibilities
- Build both frontend and backend systems for the Data Allowance Manager, providing governed datasets to ML Teams.
- Collaborate with cross-functional teams, including product managers and designers, to create user-friendly features.
- Participate in architecture discussions, provide code feedback, and mentor other engineers.
- Innovate through rapid prototyping and iterative development, staying at the forefront of technology and product advancements.
Requirements
- 5-7 years of experience in building full-stack applications.
- Hands-on expertise in Java, Spring Boot, SQL, NoSQL, React, JavaScript, HTML/CSS.
- Hands-on experience with cloud services like Microsoft Azure and GCP.
- Strong collaboration skills, working effectively with diverse engineering teams.
- Proficiency in writing clean, efficient code, conducting code reviews, and ensuring high standards of quality and maintainability.
- A passion for technology, a sense of ownership, and a commitment to excellence.
Benefits
- Flexible work environment
- Employee shares options
- Health insurance
- Life insurance
- Dental insurance
- Vision insurance
- Annual performance bonus
- Equity options
