Senior Developer (Java + AI)

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

Required Technical Skills

• Proficiency in Java/J2EE, Spring Boot, Spring Framework, Hibernate/JPA, and RESTful web services.

• Working knowledge of Python and ReactJS for scripting, automation, and front-end integration tasks.

• Working knowledge of container orchestration using Kubernetes (K8S) and Amazon EKS — deployment, scaling, and management of containerised workloads.

• Experience building and maintaining CI/CD pipelines using GitLab CI, Jenkins, or GitHub Actions.

• Understanding of DevSecOps principles — SAST, DAST, dependency scanning, and secrets management integrated into the SDLC.

• Applied experience with SQL and NoSQL databases such as PostgreSQL, MSSQL, or MongoDB.

• In-depth knowledge of Git (branching strategies, pull requests, merge workflows) and build tools such as Maven, Gradle, and Docker.

• Hands-on experience with one or more AI/agent platforms: Microsoft 365 Copilot, Copilot Studio, Dataiku DSS, Google Agent Builder, OutSystems ODC, or equivalent — including plugins, connectors, and Graph API integrations.

• Understanding of AWS and/or GCP cloud platforms including compute, storage, networking, and managed services.

• Understanding of Generative AI concepts: LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and agentic AI patterns.

• Familiarity with Azure OpenAI Service or OpenAI APIs for embedding AI capabilities into applications.

Responsibilities

• Contribute to all stages of the SDLC — from requirements analysis through to deployment and post-production support.

• Design, develop, and maintain scalable, high-availability Java-based applications, including support for legacy systems and progressive modernisation towards cloud-native microservices patterns.

• Build, deploy, and manage containerised applications using Docker, Kubernetes, and EKS on AWS/GCP.

• Apply DevSecOps practices across the development pipeline, including vulnerability assessment and remediation.

• Design and deploy AI-powered agents and workflows using Copilot Studio, Google Agent Builder, Dataiku, Outsystems, or equivalent platforms.

• Implement Generative AI solutions including RAG-based assistants, LLM-powered summarisation, and content generation using Azure OpenAI or equivalent.

• Integrate AI capabilities into enterprise systems via REST APIs, Graph API, and Power Automate workflows.

• Engage with business stakeholders to gather requirements, identify AI use case opportunities, define agent behaviours, and communicate solution designs.

• Conduct testing, debugging, and performance evaluation of Java applications, AI agents, and automation workflows.

• Working location at Seletar - hybrid arrangement applies

• Singaporean only