Cheil Singapore

Full Stack Developer

Cheil Singapore

Singapore · Contract

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Experience
8 yrs
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
Resume
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Job description

About Cheil Worldwide

Cheil Worldwide, founded in 1973 and headquartered in Seoul, South Korea, stands as a leading integrated marketing communications network globally. It encompasses over 7,200 employees spread across more than 54 offices in 46 countries.

Role Overview

We are seeking a proactive Full Stack Developer tasked with creating applications from the ground up and overseeing their end-to-end deployment. This role involves engagement in frontend and backend development, AWS cloud infrastructure management, CI/CD pipeline construction, DevOps responsibilities, and pioneering AI-enhanced features and automated business workflows.

Primary Responsibilities

  • Architect, build, and sustain comprehensive full stack software solutions utilizing Next.js, React, Node.js, and TypeScript.
  • Deliver end-to-end development including system architecture, database schema design, API creation, user authentication, and deployment procedures.
  • Create interfaces that are both responsive and accessible, along with stable backend service layers.
  • Manage deployment and operational maintenance of applications on AWS, with an emphasis on security, scalability, performance, and cost-efficient operations.
  • Establish and uphold automated CI/CD processes for continuous integration, testing, building, and delivery.
  • Lead DevOps-related tasks including configuring environments, automating infrastructure, monitoring operations, logging, and issue resolution.
  • Integrate AI by linking large language model APIs and merging enterprise data sources alongside external services.
  • Construct automated AI workflows aimed at optimizing business procedures, content workflows, and internal productivity enhancements.
  • Utilize advanced LLM capabilities such as structured data outputs, tool invocation, and retrieval-augmented generation (RAG) when applicable.
  • Employ AI-assisted coding platforms to expedite development, combined with rigorous review processes to ensure code quality, security, and maintainability.
  • Work closely with project leads, designers, and other stakeholders to translate business objectives into technical implementations.
  • Maintain comprehensive technical documentation, conduct routine code reviews, and provide post-launch application support.

Required Skills & Experience

  • A minimum of eight years’ experience delivering full stack web applications, including projects built from inception through to production deployment.
  • Strong command of JavaScript and TypeScript along with expertise in Next.js, React, and Node.js development frameworks.
  • Proficient in designing RESTful APIs and integrating with third-party services.
  • Experience working with relational and NoSQL database systems, including data modeling and query optimization.
  • Deep knowledge of AWS cloud services like EC2, ECS, Lambda, S3, RDS, CloudFront, IAM, and CloudWatch.
  • Hands-on experience configuring and managing CI/CD pipelines using tools such as GitHub Actions, GitLab CI/CD, or Jenkins.
  • An understanding of containerization with Docker, infrastructure-as-code, and DevOps methodologies.
  • Proven experience integrating and utilizing LLMs and AI platforms including OpenAI, Anthropic, or Amazon Bedrock.
  • Skilled in designing AI-driven workflows through coding, orchestration frameworks, or automation software.
  • Familiarity with AI-assisted development tools like GitHub Copilot, Cursor, or Codex.
  • Solid grasp of cybersecurity principles, including access controls, secret management, testing protocols, and debugging techniques.
  • Ability to work autonomously, communicate technical concepts clearly, and deliver complete solutions from conception to support.

Preferred Qualifications

  • Exposure to AI agent workflow development.
  • Experience with workflow automation tools such as n8n or LangChain.
  • Advanced skills with AWS infrastructure management.
  • Knowledge of automated testing frameworks.
  • Experience in assessing AI output quality, managing latency and token costs, ensuring data privacy, and handling failure scenarios.

Tools & software

Node.js React Amazon Web Services AWS required Amazon Elastic Compute Cloud EC2 required Lambda required S3 required RDS required

How they work

Communication Teamwork & Collaboration Attention to Detail Independence Accountability
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