Senior / Engineer, Outsystems

ST ENGINEERING MANAGEMENT SERVICES PTE. LTD.; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

ST ENGINEERING MANAGEMENT SERVICES PTE. LTD. seeks an experienced software engineer to develop and maintain Java enterprise applications in a cloud-native, DevSecOps environment on AWS/GCP.

You will design and deploy AI-powered solutions using platforms like Microsoft 365 Copilot, Google Agent Builder, and GitHub Copilot, while translating business requirements into scalable technical solutions. You will collaborate with stakeholders to implement SDLC processes, build CI/CD pipelines, and apply

Qualifications

• Proficient in designing and implementing Java/J2EE enterprise apps.
• Experience building and maintaining CI/CD pipelines and DevSecOps practices.
• Experience with container orchestration and cloud platforms (AWS/GCP).
• Hands-on with AI/agent platforms and integrating AI capabilities into applications.
• Strong collaboration with stakeholders to translate requirements into technical solutions.

Responsibilities

• Contribute to all stages of the SDLC from requirements to deployment.
• Develop and maintain scalable Java-based applications with cloud-native microservices.
• Build and manage containerised apps using Docker, Kubernetes, and EKS on AWS/GCP.
• Implement DevSecOps across pipelines including security scanning and secrets management.
• Design and deploy AI-powered agents/workflows using Copilot Studio, Google Agent Builder, or Dataiku.

Skills

Java/J2EE

Spring Boot

Spring Framework

Hibernate/JPA

RESTful services

Python

ReactJS

Kubernetes

Amazon EKS

CI/CD pipelines

DevSecOps

SAST/DAST

SQL/NoSQL

PostgreSQL

MSSQL

MongoDB

Git

Maven/Gradle

Docker

AI platforms

Microsoft 365 Copilot

Copilot Studio

Dataiku DSS

Google Agent Builder

OutSystems ODC

Graph API

Azure OpenAI/OpenAI APIs

AWS/GCP cloud

LLMs/Prompt engineering

RAG

Tools

GitLab CI

Jenkins

GitHub Actions

Docker

Kubernetes

Job description

The candidate should be able to develop and maintain Java-based enterprise applications, operate within cloud-native and DevSecOps environments on AWS/GCP, and actively design and deploy AI-powered solutions using platforms such as Microsoft 365 Copilot, Google Agent Builder, and GitHub Copilot. Strong communication skills to work with business stakeholders and translate requirements into technical solutions are essential.

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