全职 Full Stack Engineer Jobs, in CoinWorldCap Kuala Lumpur - Ricebowl

Company Description CoinWorldCap is a crypto data aggregator that combines qualitative and quantitative data sets to deliver holistic analytics for digital assets. The platform is built to serve users who need reliable, in-depth insights into the crypto ecosystem, from market metrics to contextual information. By prioritizing transparency and freedom of information, CoinWorldCap aims to become the definitive source of trustworthy crypto data. Team members contribute to a mission-driven environment focused on improving how individuals and institutions access and understand crypto markets.

Product Engineer (Web & Mobile Frontend Focus)

Profile: We are looking for an AI Product Engineer to build next-generation Fintech applications. This role sits at the intersection of client-side development and AI-assisted execution — going well beyond “vibe-coding.” You will leverage LLM coding agents as core productivity drivers to ship high-polish, responsive web and mobile interfaces, moving fast while maintaining a clear understanding of why and how code should be written.

Key Responsibilities:

• Build and maintain responsive web and cross-platform mobile applications using AI tools.
• Optimize client-side rendering performance, bundle sizes, and caching mechanisms under high-concurrency patterns.
• Develop AI evaluation metrics to ensure generated interfaces match design systems and usability standards.
• Provide critique to existing front-end state management, architecture, and interactive workflows.
• Collaborate with backend and cross-functional teams in Mandarin to ensure seamless system integration.

Your Skills:

• Track record of shipping real, production-grade Web and Mobile (iOS/Android) products.
• Eye for product: strong sense of UI/UX, layouts, and interactive workflows.
• Pragmatic mindset about code maintainability, frontend performance, and scalability.
• Comfortable with ambiguity; proactive in driving concrete solutions through sensible iterations.
• Proficiency in JavaScript/TypeScript and frameworks like React, Vue, Flutter, React Native.
• Fluent in English, Mandarin communication skills for development & operation collaboration.

Nice to Have:

• Experience in building custom presets or workflows for AI coding agents (e.g., Claude Code, Codex).
• Experience with canvas-based or interactive visualization libraries (e.g., p5.js, D3.js).

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.

Growth Engineer (Data-Driven & Growth Hacking — CoinGecko/CMC Model)

Profile: We are looking for an AI Product Engineer to build next-generation Fintech applications. This role sits at the intersection of growth hacking, data analytics, and AI-assisted execution — going well beyond “vibe-coding.” You will leverage LLM coding agents as core productivity drivers to architect and scale the organic traffic growth, loop optimization, and visibility networks for our Web3 platform (similar to CoinGecko / CoinMarketCap). You will move fast to implement growth hypotheses while maintaining a clear understanding of why and how automated systems should be executed.

Key Responsibilities:

• Plan, execute, monitor, and optimize cross-channel growth hacking campaigns and programmatic GEO/SEO funnels to scale organic user acquisition.
• Conduct high-frequency A/B testing and technical experimentation on landing pages, token submission pipelines, widgets, and viral referral loops.
• Analyze platform traffic patterns, search visibility, and user retention metrics to drive statistically sound optimizations and maximize viral loops.
• Design and build data pipelines, custom web-scrapers, and automated data monitoring scripts using Python to capture market trends and competitive telemetry.
• Utilize AI platforms such as ChatGPT, Claude, Gemini, and agentic workflows to accelerate programmatic content generation, automated data cleaning, and execution.
• Explore and implement AI-driven marketing automation, automated token listing QA verification systems, and algorithmic distribution tools to maximize platform scaling.

Your Skills:

• Minimum 2–3 years of hands-on experience in Technical Growth Hacking, Growth Engineering, Performance Marketing Analytics, or a related data-driven role.
• Strong proficiency in Python for data manipulation, scripting, web scraping, and interacting with core data systems.
• Deep product-level understanding of the CoinGecko / CoinMarketCap growth model: you know exactly how these platforms scale organic distribution, monetize visibility, and keep users sticky.
• Obsession with data: highly analytical mindset with strong data modeling capability and deep familiarity with tracking frameworks (SQL, Google Analytics).
• Comfortable working with high uncertainty and constant experimentation; able to independently formulate hypotheses, design traction tests, and interpret results.
• Fluent in English, Mandarin communication skills for development & operation collaboration.

Nice to Have:

• Proven track record of running organic growth, API productization distribution, or programmatic scaling for an asset listing engine or crypto data aggregator.
• Experience deploying automated AI agents or specialized workflows (e.g., Claude Code, Codex) to mass-automate distribution channels or local indexing loops.