全职 Full Stack Engineer 工作, 薪水 up to MYR 5,000, CoinWorldCap Federal Territory 公司招聘中 - Ricebowl

Full Stack Product Engineer (Backend & Infrastructure Focus)

Profile: We are looking for an AI Product Engineer to build next-generation Fintech applications. This role sits at the intersection of full-stack development and AI-assisted execution — going well beyond “vibe-coding.” You will leverage LLM coding agents as core productivity drivers, moving fast while maintaining a clear understanding of why and how code should be written. This role heavily leans toward core distributed backend architecture while maintaining enough full-stack versatility.

Key Responsibilities:

• Design, develop, and maintain scalable backend systems and microservices using Golang (or Java/Node.js).
• Build and secure RESTful/WebSocket APIs for frontend consumers and third-party integrations.
• Optimize database performance (MySQL/Redis) for distribution systems.
• Implement and maintain message-driven data pipelines using Kafka or RabbitMQ.
• Collaborate with AI agents to accelerate architectural prototyping, boilerplate generation, and root-cause analysis.
• Provide critique to core infrastructure layout, multi-threading logic, and cloud deployment pipelines.

Your Skills:

• Track record of shipping real backend-heavy or full-stack products in production environments.
• Eye for product: you care how backend data efficiency and stability impact ultimate user experience.
• Strong understanding of distributed systems, high-concurrency, multi-threading, and core data structures.
• Comfortable with ambiguity; able to translate unclear system requirements into concrete architectural steps.
• Strong backend skills (Golang preferred, Java, or Node.js) and familiarity with Docker, Kubernetes, and CI/CD.
• Fluent in English, Mandarin communication skills for development & operation collaboration.

Nice to Have:

• Proven experience setting up AI-driven workflows (Claude Code, Codex) for complex infrastructure management.
• Experience optimizing cloud-native environments or building automated monitoring systems.

Pay: From RM5,000.00 per month

Work Location: Remote