Stability Agent Engineer Intern - Global Payment

We are looking for backend engineers who are passionate about building AI-driven infrastructure as well as strengthening system architecture, scalability, and stability. This role focuses on designing and operating robust backend foundations that enable intelligent systems, improve service resilience, and support the long-term evolution of large-scale platforms. You will work on core backend systems that power AI capabilities in production, including platform architecture, service reliability, performance optimization, observability, and automation. The ideal candidate is committed to solving hard engineering problems and building infrastructure that is both technically strong and operationally dependable.You will partner closely with payment product teams, risk, compliance, finance, SRE, and global engineering teams to ensure payment services are secure, resilient, performant, and operationally excellent across markets. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities: - Design and develop backend infrastructure systems to improve the stability and reliability of the Global Payment platform. - Build and optimize monitoring, observability, and automation capabilities for large-scale distributed systems. - Collaborate with SRE, payment product, and cross-functional engineering teams to identify and resolve system reliability issues. - Participate in architecture design discussions and contribute to engineering standards for infrastructure components. - Analyze system performance metrics and drive continuous improvements in service availability and resilience. Minimum Qualifications - Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. - Strong programming skills in one or more languages such as Java, Go, C++, or Python. - Solid foundation in data structures, algorithms, operating systems, networking, and databases. Preferred Qualifications - Good understanding of the subjects of Machine Learning, Model Training and Evaluation etc. - Strong problem-solving ability and ownership mindset. Good cross-functional communication and collaboration skills.and Evaluation etc. - Solid foundation in data structures, algorithms, operating systems, networking, and databases - Strong problem-solving ability and ownership mindset•Good cross-functional communication and collaboration skills