Full Stack Engineer (Mandarin-Speaking)

Zuler Technology Pte. Ltd.

Singapore

On-site

SGD 70,000 - 90,000

Full time

14 days+
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Job summary

ZULER TECHNOLOGY PTE. LTD. is seeking a Full Stack Engineer in Singapore who is proficient in AI tools. The role involves end-to-end design and development of web applications, focusing on both front-end and back-end technologies like Node.js and Python. Candidates should have over 5 years of experience, strong skills in JavaScript and database management, and the ability to communicate effectively in Mandarin. This position offers the opportunity to work with advanced technology in a dynamic environment.

Qualifications

  • Minimum of 5 years of full-stack development experience with a proven track record.
  • Strong proficiency in HTML5, CSS3, JavaScript and at least one mainstream framework.
  • Deep expertise in Node.js with experience in developing high-concurrency systems.
  • Proficient in Python for back-end development and automation scripting.
  • Solid experience with databases such as MySQL, PostgreSQL, or MongoDB.
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines.
  • Proficiency in Chinese (Mandarin) for communication with stakeholders.

Responsibilities

  • Design and develop the front-end architecture of web applications.
  • Build high-performance server-side applications using Node.js.
  • Utilize Python for data analysis and automation tools.
  • Leverage AI-assisted programming tools to enhance code quality.
  • Participate in technology selection and architecture reviews.

Skills

Full-stack development
HTML5
CSS3
JavaScript
Node.js
Python
MySQL
PostgreSQL
MongoDB
Docker
Kubernetes
AI-assisted development tools
Chinese (Mandarin)

Job description

About the Role

We are now seeking an experienced Full Stack Engineer that is proficient with the latest AI tools to drive the design and development of the web applications for our current projects end-to-end.

Key Responsibilities
  1. Design and develop the front-end architecture of web applications, ensuring a smooth user experience and highly responsive interfaces;
  2. Build high-performance, scalable server-side applications using Node.js, and design RESTful APIs and microservices architectures;
  3. Utilize Python for data analysis, script development, and the creation of automation tools;
  4. Leverage AI-assisted programming tools to enhance code quality and development efficiency;
  5. Participate in technology selection and architecture reviews, driving continuous improvement in the team’s technical capabilities;
  6. Collaborate effectively with product, design, and testing teams to ensure timely and high-quality project delivery.
Requirements
  1. Work Experience: Minimum of 5 years of full-stack development experience, with a proven track record of delivering end-to-end projects from inception to production;
  2. Front-End Skills: Strong proficiency in HTML5, CSS3, and JavaScript; hands-on experience with at least one mainstream framework such as React, Vue, or Angular; familiarity with front-end engineering practices and performance optimization;
  3. Back-End Skills: Deep expertise in Node.js and its ecosystem (e.g., Express, Nest.js, Koa), with experience in developing high-concurrency and distributed systems;
  4. Python Skills: Proficient in Python for back-end development, data processing, or automation scripting;
  5. Databases: Solid experience with databases such as MySQL, PostgreSQL, or MongoDB, including database design and optimization capabilities;
  6. DevOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines, with hands-on experience using cloud service platforms;
  7. AI Tools: Proficient in using AI-assisted development tools, with strong prompt engineering capabilities.
  8. Language Skills: Proficiency in Chinese (Mandarin) language in both verbal and written media is essential to communicate with key stakeholders and cross-functional project team members based in China.
Preferred Qualifications
  1. Contributions to open-source projects or demonstrated influence through technical blogs or developer communities;
  2. Familiarity with AI/LLM application development, with practical project experience.
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