Full Stack Engineer - Cloud
Full Stack Engineer - Cloud
ox consultancy pte. ltd.- Posted an hour ago
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Job Description
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.
