Java Software Engineer – Microservices & Cloud Native

5G-Starlink Pte.; Malacca City; On-site; MYR 60,000 - 120,000; Full time

Job summary

5G-Starlink Pte. is seeking highly skilled Java developers to build web applications and microservices in a distributed production environment.

You will analyze requirements, design features, and ensure alignment with business goals, while creating thorough documentation and improving existing Java infrastructure. Ideal candidates have deep Java/Java EE knowledge, experience with Spring Cloud and Netflix OSS, and familiarity with containerized deployments (Docker, Kubernetes).

Qualifications

• Expertise in Java and Java EE standards.
• Experience designing large-scale distributed applications.
• Proven experience with Java microservices (Spring Cloud).
• Experience with containerized apps; Kubernetes/Docker Swarm a plus.
• Strong analytical and problem-solving skills; good written/verbal communication.

Responsibilities

• Design and implement Java-based applications.
• Analyze user requirements to inform design and functionality.
• Define objectives and features aligned with business goals.
• Develop and test software; fix defects.
• Produce design documentation and user guides.
• Recommend improvements to Java infrastructure.
• Develop multimedia apps and user documentation.
• Maintain ongoing professional development.

Skills

Java

Distributed Systems

Spring Cloud

Java EE standards

Docker

Kubernetes

Troubleshooting

Requirements analysis

Documentation

Teamwork

Communication

Tools

Spring Cloud

Netflix OSS

Docker Swarm

Job description

5G-Starlink Pte. is seeking highly skilled Java developers to build web applications and microservices in a distributed production environment.

You will analyze requirements, design features, and ensure alignment with business goals, while creating thorough documentation and improving existing Java infrastructure. Ideal candidates have deep Java/Java EE knowledge, experience with Spring Cloud and Netflix OSS, and familiarity with containerized deployments (Docker, Kubernetes).