- Geylang Southeast (Singapore) Singapore
JASS TECH PTE. LTD. Hiring! Full Time Full Stack Engineer - Cloud in Southeast (Singapore), Earn up to SGD 12,000 - Ricebowl
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Job Description & Requirements
Job Description:
We are seeking a highly experienced Senior Full Stack Engineer to design, develop, integrate and support scalable enterprise applications across backend, frontend, cloud and DevOps environments.
Key Responsibilities:
Design and develop enterprise applications using Java, Spring Boot, Python and Node.js.
Build scalable RESTful APIs, microservices, API Gateway and GraphQL solutions.
Develop responsive web applications using Angular, React, JavaScript and TypeScript.
Design and implement event-driven solutions using Kafka, ActiveMQ and Azure Event Bus.
Develop and maintain cloud-native applications on AWS and Azure.
Implement containerized applications using Docker and Kubernetes/AKS.
Build and optimize CI/CD pipelines using Jenkins and GitHub Actions.
Work with MySQL, MongoDB and Redis for application data management.
Apply secure coding, code quality and DevSecOps practices using tools such as SonarQube, Cycode, Burp Suite and Wiz.
Troubleshoot complex production issues and provide L2/L3 support, RCA and permanent fixes within defined SLAs.
Contribute to Generative AI, LLM and AI Copilot/agentic AI initiatives and integrate AI capabilities into enterprise applications.
Collaborate with architects, developers, QA, DevOps and business stakeholders in an Agile/Scrum environment.
Mandatory Requirements:
Degree in Computer Science, Software Engineering or related discipline.
Minimum 8 years of hands-on software engineering experience, including enterprise full-stack development.
Strong hands-on experience in Java, Spring Boot, REST APIs, microservices and SQL.
Strong experience with Angular/React and JavaScript/TypeScript.
Practical experience with Python or Node.js.
Hands-on experience with Docker, Kubernetes and CI/CD.
Experience with Kafka or equivalent messaging/event-streaming technologies.
Strong production support, debugging and problem-solving capabilities.
Experience with AWS or Azure cloud platforms.
Exposure to Generative AI/LLM, AI Copilot or agentic AI solutions is required.
Job Description:
We are seeking a highly experienced Senior Full Stack Engineer to design, develop, integrate and support scalable enterprise applications across backend, frontend, cloud and DevOps environments.
Key Responsibilities:
Design and develop enterprise applications using Java, Spring Boot, Python and Node.js.
Build scalable RESTful APIs, microservices, API Gateway and GraphQL solutions.
Develop responsive web applications using Angular, React, JavaScript and TypeScript.
Design and implement event-driven solutions using Kafka, ActiveMQ and Azure Event Bus.
Develop and maintain cloud-native applications on AWS and Azure.
Implement containerized applications using Docker and Kubernetes/AKS.
Build and optimize CI/CD pipelines using Jenkins and GitHub Actions.
Work with MySQL, MongoDB and Redis for application data management.
Apply secure coding, code quality and DevSecOps practices using tools such as SonarQube, Cycode, Burp Suite and Wiz.
Troubleshoot complex production issues and provide L2/L3 support, RCA and permanent fixes within defined SLAs.
Contribute to Generative AI, LLM and AI Copilot/agentic AI initiatives and integrate AI capabilities into enterprise applications.
Collaborate with architects, developers, QA, DevOps and business stakeholders in an Agile/Scrum environment.
Mandatory Requirements:
Degree in Computer Science, Software Engineering or related discipline.
Minimum 8 years of hands-on software engineering experience, including enterprise full-stack development.
Strong hands-on experience in Java, Spring Boot, REST APIs, microservices and SQL.
Strong experience with Angular/React and JavaScript/TypeScript.
Practical experience with Python or Node.js.
Hands-on experience with Docker, Kubernetes and CI/CD.
Experience with Kafka or equivalent messaging/event-streaming technologies.
Strong production support, debugging and problem-solving capabilities.
Experience with AWS or Azure cloud platforms.
Exposure to Generative AI/LLM, AI Copilot or agentic AI solutions is required.
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