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# Site Reliability Engineer, Payments - USDS

- **Company:** Tiktok Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), C++ (Programming Language), Software Code Optimization, Computer Engineering, Data Structures, Software Debugging, Distributed Systems, Human-Computer Interaction, Python (Programming Language), Reliability Engineering, Systems Architecture, Information Technology, Golang
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25303_bbe44e7820591814aa9ce8b68ccd9023

## About the Role

* BS or MS degree in Computer Science, Electrical Engineering, Computer Engineering or related areas.
 * 3+ years of experience in one or more programming languages such as Go, Java, C++, Python etc.
 * Good problem-solving, analytical thinking capabilities and exceptional attention to details.
 * Good communication and collaboration skills., * Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
 * Ability to debug, optimize code, and automate routine tasks.
 * Proficiency working with algorithms, data structures and production troubleshooting.
 * Expertise in problem solving and analyzing global scale distributed systems.
 * Systematic problem-solving approach, coupled with effective communication skills and a sense of drive.

## Description

Team Intro: The Global Payment team of the US Tech Service department of TikTok provides all-round payment solutions for the company's USA products, overseas commercialization, and the company's overseas travel and procurement, including channel access, product order design, user interaction, capital management, tax and exchange optimization, settlement Reconciliation and so on. In this role, you'll have the opportunity to develop and manage the complex challenges of scale with your expertise in large-scale system design.

 * Engage in and improve the whole lifecycle of services from inception and design, through deployment, operation and refinement.
 * Support services before they go live through activities such as capacity planning and launch reviews.
 * Support and maintain services by measuring and monitoring availability, latency and overall system health.
 * Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.