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Open nowPosted yesterday

Full Stack Developer — AI and Cloud-Native Applications

MyCareersFuture96,520 open roles

Pay
SGD 5,500 – SGD 8,000 a month
Where
Singapore
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Your applicationOpen nowFull Stack Developer — AI and Cloud-Native ApplicationsMyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted yesterday

MyCareersFuture median: 4 days open

The posting

Full Stack Developer — AI and Cloud-Native Applications

Role Overview

We are seeking a Full Stack Developer to design, build and support scalable enterprise applications with cloud-native architecture and AI-powered capabilities.

You will work across frontend interfaces, backend services, APIs and databases, collaborating with product owners, architects and business stakeholders to deliver secure, reliable applications.

Key Responsibilities

Application Development

  • Design, develop, test, deploy and maintain web, mobile and cloud-native applications.
  • Build responsive interfaces using modern frontend frameworks.
  • Develop backend services, RESTful APIs and microservices.
  • Translate business requirements into technical designs and implementation specifications.
  • Troubleshoot application issues and improve performance, security and maintainability.
  • Develop integrations with enterprise systems and external services.

AI Application Development

  • Integrate LLMs, Generative AI, RAG and AI agents into business applications.
  • Develop chatbots, virtual assistants and workflow automation solutions.
  • Integrate services such as Azure OpenAI, AWS Bedrock, Google Vertex AI or equivalent platforms.
  • Apply prompt engineering, model evaluation and responsible AI practices.
  • Collaborate with data scientists and AI engineers to deploy and support AI solutions.

Cloud and DevOps

  • Deploy and support applications on AWS, Azure, IBM Cloud or GCP.
  • Build and maintain CI/CD pipelines and infrastructure-as-code configurations.
  • Develop containerised applications using Docker and Kubernetes.
  • Apply DevSecOps practices and automated quality checks.
  • Monitor application performance and optimise cloud resource usage.

Collaboration and Delivery

  • Participate in Agile/Scrum ceremonies, code reviews and technical discussions.
  • Work with product owners, designers, architects and business stakeholders.
  • Maintain technical documentation and contribute to continuous improvement.
  • Share knowledge and mentor junior developers where required.

Requirements

  • Diploma or Degree in Computer Science, Information Technology, Software Engineering or a related discipline.
  • Minimum 2–5 years of full stack development experience.
  • Experience delivering applications in Agile/Scrum environments.
  • Hands-on experience with modern frontend development, such as React, Angular, Vue or Next.js.
  • Proficiency in HTML5, CSS3, JavaScript or TypeScript, including responsive design and state management.
  • Backend development experience using Java/Spring Boot, Node.js/NestJS or Python frameworks such as FastAPI, Flask or Django.
  • Experience developing and integrating RESTful APIs; familiarity with GraphQL.
  • Understanding of microservices, event-driven architecture and messaging.
  • Hands-on cloud-native application development and deployment experience.
  • Familiarity with Docker, Kubernetes, serverless technologies and infrastructure as code.
  • Experience with SQL or NoSQL databases, such as PostgreSQL, MySQL, SQL Server or MongoDB.
  • Familiarity with Git, CI/CD, automated testing and application monitoring.
  • Strong troubleshooting, communication and stakeholder management skills.

Added Advantage

  • AI application development using LLMs, RAG or agent frameworks such as LangChain, LangGraph, Semantic Kernel or CrewAI.
  • Experience with Azure OpenAI, OpenAI APIs, AWS Bedrock, Anthropic Claude or Google Vertex AI.
  • Vector database experience, such as Pinecone, Weaviate, ChromaDB or Azure AI Search.
  • API management experience with WSO2, Kong, MuleSoft, Apigee, Azure API Management or AWS API Gateway.
  • Experience with Redis, Elasticsearch, Terraform, SonarQube or Test-Driven Development.
  • Familiarity with Jenkins, GitHub Actions or Azure DevOps.
  • Experience using GitHub Copilot or other AI-assisted development tools.
  • Knowledge of AI evaluation, governance, security and responsible AI practices.

Preferred Certifications

  • Microsoft Certified: Azure Developer Associate.
  • AWS Certified Developer Associate.
  • Certified Kubernetes Application Developer.
  • Microsoft Certified: Azure AI Engineer Associate.
  • Relevant Generative AI, Machine Learning or Agile certifications. Registration No.: R25156061 EA No.: 11C3373
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