Backend Python Developer (Open to Fresh Graduates)

Backend Python Developer (Open to Fresh Graduates)

Every new wave of technology presents a fleeting opportunity to design killer applications and products that will disrupt an entire industry and change the lives of many. Crypto is unique in this regard because it is already changing the core concept of money and banking through decentralization.

We are looking for talents to join our product development team!

Responsibilities:

• Platform Engineering: Design and develop core functions for our financial services platform, building scalable infrastructure to support high-frequency digital asset trading.

• High-Performance Trading Systems: Establish and maintain a robust, concurrent trading engine capable of 7×24 uninterrupted operations with minimal latency.

• Data Protocol Implementation: Develop and optimize internal native protocols to process high-throughput, real-time market data.

• Compliance & Analytics: Implement complex batch reporting and data warehouse workflows to support regulatory compliance (SFC standards) and deep business intelligence.

• System Design & Documentation: Independently produce high-quality technical specifications and architectural designs.

• Cross-functional Collaboration: Partner actively with Product and Business Development teams to translate business requirements into technical roadmaps and product features.

Requirements:

• Education: Bachelor’s degree (or higher) in Computer Science or a related Engineering field from a top-tier university.

• Experience: 3+ years of professional backend development experience, preferably within a large-scale internet company or financial institution.

• Core Stack: Expert-level proficiency in Python and its asynchronous frameworks.

• Distributed Systems: Deep understanding of large-scale, high-performance distributed architectures.

• CS Fundamentals: Strong command of data structures, algorithms, design patterns, and network programming (TCP/IP, WebSockets).

• Data Infrastructure: Proficient in data analysis frameworks and data warehouse processing; expert knowledge of Redis (Caching), Kafka (Message Queuing), and Elasticsearch (Search/Logging).

• Environment: Comfortable working in Linux/Unix environments with a strong grasp of DevOps best practices.

Professional Attributes:

• Problem Solver: Self-driven with a “can-do” attitude to tackle complex technical bottlenecks and architectural challenges.

• Analytical Thinker: Excellent system analysis and abstract thinking skills.