Python Backend Engineer
ShenzhenOn-siteFull-time
AI Summary
Python Backend Engineer at Metaprise designs and evolves core backend modules, leads architecture decisions, and establishes engineering standards for a Financial Operating System platform.
About this role
About Us
At Metaprise, we’re building the world’s first Financial Operating System — an AI Agent–powered platform that unifies Accounts Receivable, Accounts Payable, Contract Management, SmartFlow Automation, and Cash Management into a single intelligent hub. We help enterprises eliminate operational gaps between financial tools, giving them total control over data flow and cash flow. Backed by real customers in the US and global expansion momentum, we’re scaling fast and looking for builders who thrive in high-growth, high-impact environments.
Requirements
1. Be responsible for the design, implementation and continuous evolution of core system modules.
2. Lead the architecture design and technical decision-making of the Python technology stack.
3. Serve as the Architecture Reviewer for key systems.
4. Establish and promote a high-standard Code Review mechanism.
5. Enhance the stability, scalability and maintainability of the system.
6. Design and formulate the engineering specification system (Context Pack / Engineering Standards).
7. Optimize the development efficiency of the team and the quality of cross-team collaboration.
2. Lead the architecture design and technical decision-making of the Python technology stack.
3. Serve as the Architecture Reviewer for key systems.
4. Establish and promote a high-standard Code Review mechanism.
5. Enhance the stability, scalability and maintainability of the system.
6. Design and formulate the engineering specification system (Context Pack / Engineering Standards).
7. Optimize the development efficiency of the team and the quality of cross-team collaboration.
Responsibilities
1. More than 5 years of Python backend development experience (required)
2. Solid knowledge of data structures and system design
3. Experience with complex systems or platform-level architectures, such as Workflow Engine, Policy Engine, Permission System, Distributed Systems
4. Familiarity with one or more of the following technical directions: FastAPI / Flask / Django, Microservice architecture / Distributed systems, Message queues (Kafka / RabbitMQ), Databases (PostgreSQL / Redis)
5. Strong awareness of code quality and the ability to conduct Code Reviews
6.具备 technical judgment, capable of making trade-offs and decisions at the architectural level
2. Solid knowledge of data structures and system design
3. Experience with complex systems or platform-level architectures, such as Workflow Engine, Policy Engine, Permission System, Distributed Systems
4. Familiarity with one or more of the following technical directions: FastAPI / Flask / Django, Microservice architecture / Distributed systems, Message queues (Kafka / RabbitMQ), Databases (PostgreSQL / Redis)
5. Strong awareness of code quality and the ability to conduct Code Reviews
6.具备 technical judgment, capable of making trade-offs and decisions at the architectural level
Skills
Distributed SystemsDjangoFastAPIFlaskKafkaMessage QueuesMicroservicesPolicy EnginePostgreSQLPythonRabbitMQRedisWorkflow Engine
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