Senior Java Cloud & AI Developer (Hybrid, Singapore)

ST Engineering; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

ST Engineering seeks a seasoned software engineer to contribute to the full SDLC, building scalable Java-based applications and AI-powered workflows. You will deploy containerised services with Docker and Kubernetes on AWS/GCP, integrating security throughout the pipeline, and collaborating with stakeholders to define AI use cases.

The role requires hybrid work from Seletar and Singaporean eligibility. Candidates should be proficient in Java/J2EE, Spring, RESTful services, and have hands-on

Qualifications

• Proficiency in Java/J2EE and Spring stack with RESTful services.
• Working knowledge of Python and ReactJS for scripting and front-end tasks.
• Hands-on with Kubernetes and AWS/GCP container orchestration (EKS).
• Experience building CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions).
• Understanding of DevSecOps practices and secure SDLC integration.

Responsibilities

• Contribute to all stages of the SDLC from requirements to deployment.
• Design and develop scalable Java-based applications with microservices modernization.
• Build, deploy and manage containerised apps using Docker, Kubernetes and EKS.
• Apply DevSecOps principles across the pipeline including vulnerability remediation.
• Design AI-powered workflows using Copilot Studio, Dataiku, or equivalent.
• Integrate AI capabilities into enterprise systems via REST/Graph APIs.
• Engage stakeholders to define AI use cases and solution designs.
• Perform testing and performance evaluation of Java apps, AI agents, and automation.
• Working location at Seletar - hybrid arrangement applies
• Singaporean only

Skills

Java/J2EE

Spring Boot

Spring Framework

Hibernate/JPA

RESTful APIs

Python

ReactJS

Kubernetes

Amazon EKS

CI/CD

GitLab/Jenkins/GitHub Actions

DevSecOps

SQL/NoSQL

PostgreSQL/MSSQL/MongoDB

Git

Maven/Gradle

Docker

AI platforms (Copilot Studio/Dataiku/…

AWS/GCP

Generative AI (LLMs, RAG)

Azure OpenAI Service

Tools

Docker

Kubernetes

Maven

Gradle

Graph API

Job description

ST Engineering seeks a seasoned software engineer to contribute to the full SDLC, building scalable Java-based applications and AI-powered workflows. You will deploy containerised services with Docker and Kubernetes on AWS/GCP, integrating security throughout the pipeline, and collaborating with stakeholders to define AI use cases.

The role requires hybrid work from Seletar and Singaporean eligibility. Candidates should be proficient in Java/J2EE, Spring, RESTful services, and have hands-on