Responsibilities

• Architect and optimize large-scale distributed computing systems, focusing on resource scheduling, efficiency, and fault tolerance.
• Design and build scalable backend architectures that support high-performance applications, multi-node processing, and parallel computing.
• Develop internal tooling and infrastructure to enhance engineering productivity, CI/CD workflows, and system observability.
• Contribute to architecture decisions, system design, coding, code reviews, and implementation to ensure high standards of quality.
• Optimize core exchange system effectiveness, including architecture improvements, performance tuning, and stability enhancements.
• Review, test, and verify code to ensure adherence to quality, security, and performance standards.
• Identify and resolve system bottlenecks, bugs, and ongoing technical challenges, proactively improving system reliability.

Requirements

• 5+ years of experience in backend development, distributed computing, or AI-driven systems.
• Proficiency in Golang, Python, and Java, with expertise in high-performance computing, distributed architectures, and multi-node processing.
• Deep understanding of software development lifecycles (SDLC), DevOps automation, and CI/CD pipelines.
• Hands-on experience with resource scheduling systems, cluster computing, and workload optimization.
• Familiarity with large-scale data processing, stream processing frameworks, and cloud infrastructure.
• Knowledge of Machine Learning and AI is a plus.
• Self-driven, highly analytical, and capable of solving complex engineering challenges in fast-paced environments.
• Proficiency in Chinese is a plus (for reading of client's job specifications and documentation in Chinese)