Paid Global Payments Backend Intern

Fastweb, LLC; San Jose (CA); Hybrid; USD 34,000 - 48,000; Full time

Job summary

ByteDance seeks a Software Engineer Internship in Global Payments, paid and located in San Jose, CA. Open to undergraduate students pursuing CS or related fields.

You will design, develop, test, and operate backend services for global payment systems and build capabilities across payments, refunds, settlement, and merchant services. You will connect business systems with payment platform capabilities across multiple services, markets, and partners, while improving scalability, availability,

Qualifications

• Pursuing a degree in computer science or a related technical discipline.
• Proficiency in at least one general-purpose language (Go/Java/C++/Python).
• Strong understanding of data structures, algorithms, operating systems, databases, networks, or distributed systems.

Responsibilities

• Design, develop, test, and operate backend services for global payments and financial systems.
• Build standardized capabilities across payments, refunds, settlement, merchant services, billing, and other money-movement workflows.
• Develop end-to-end payment solutions by connecting business systems with payment platform capabilities across multiple services, markets, and partners.
• Improve scalability, availability, performance, security, and observability of systems handling high-volume financial transactions.

Skills

Go

Java

C++

Python

Data structures

Algorithms

Distributed systems

Problem solving

Education

Undergraduate CS student

Job description

ByteDance seeks a Software Engineer Internship in Global Payments, paid and located in San Jose, CA. Open to undergraduate students pursuing CS or related fields.

You will design, develop, test, and operate backend services for global payment systems and build capabilities across payments, refunds, settlement, and merchant services. You will connect business systems with payment platform capabilities across multiple services, markets, and partners, while improving scalability, availability,