Java Full Stack Developer

5 days ago

Singapore ELLIOTT MOSS CONSULTING PTE. LTD. Full time

**Job Summary**:
We are seeking a skilled and versatile Full Stack Developer to create scalable and robust software solutions. You will be part of a cross-functional team responsible for the complete software development lifecycle, from initial conception through deployment and ongoing implementation.

As a Full Stack Developer, you should excel in both front-end and back-end development, possess expertise in various frameworks and third-party libraries, and have a keen eye for design and functionality. Familiarity with Agile methodologies and experience in Docker container platforms will be an added advantage.

**Responsibilities**
- Design, develop, and maintain scalable web-based platforms and data feed processing systems.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Build reusable code and libraries for future use.
- Ensure the technical feasibility of UI/UX designs.
- Write effective, scalable, and testable code.
- Maintain Docker containerization and explore Kubernetes clustering for efficient deployment.
- Implement DevOps tools such as Jenkins and Bitbucket/GitHub for CI/CD pipelines.

**Requirements**:

- Proven experience as a Full Stack Developer or in a similar role.
- Expertise in developing data feed processing systems and scalable web-based platforms.

**Proficiency in multiple front-end languages and libraries**:

- HTML/CSS
- JavaScript
- XML
- jQuery

**Strong knowledge of back-end development languages**:

- C#, Java, Python
- Frameworks such as Angular, React, and Node.js.
- Familiarity with databases:

- PostgreSQL, MySQL, Oracle, MongoDB.
- Knowledge of web servers like Apache.
- Awareness of UI/UX design principles.
- Hands-on experience with Docker containerization; Kubernetes expertise is a plus.
- Proficiency with DevOps tools, including Jenkins and version control systems like Bitbucket/GitHub.
- Excellent communication, teamwork, and organizational skills.
- Strong attention to detail and analytical thinking.

**Preferred Qualifications**
- Bachelor's or master's degree in computer science, Statistics, or a related field.
- Experience with Agile methodologies and a track record of working in collaborative team environments.

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