Senior Java Cloud & AI Developer (Hybrid, Singapore)

ST Engineering

Singapore

Hybrid

SGD 120,000 - 180,000

Full time

3 days ago
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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

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