Senior / Engineer, Outsystems

ST ENGINEERING MANAGEMENT SERVICES PTE. LTD.; Singapore; Hybrid; SGD 150,000 - 210,000; Full time

Job summary

ST ENGINEERING MANAGEMENT SERVICES PTE. LTD. seeks a seasoned software engineer to develop and maintain Java-based enterprise applications. You will work in cloud-native, DevSecOps environments on AWS/GCP and design AI-powered solutions using Copilot Studio, Google Agent Builder and related platforms.

You will collaborate with business stakeholders, translate requirements into scalable technical designs, and implement CI/CD pipelines. Hybrid work arrangement with Seletar location applies.

Qualifications

• Proficient in Java/J2EE, Spring and RESTful web services.
• Scripting in Python and front-end using ReactJS.
• Experience with Kubernetes/EKS and CI/CD pipelines.

Responsibilities

• Contribute to SDLC from requirements to deployment and support.
• Design and maintain scalable Java-based apps for cloud-native microservices.
• Build and manage containerised apps with Docker, Kubernetes, and EKS.
• Apply DevSecOps practices including vulnerability assessment.
• Design AI-powered agents/workflows using Copilot Studio, Dataiku, or similar.
• Integrate AI into enterprise systems via REST/Graph APIs.

Skills

Java/J2EE

Spring Boot

RESTful APIs

Python

ReactJS

Kubernetes

EKS

CI/CD

DevSecOps

SQL/NoSQL

Git/Docker/Maven/Gradle

AI platforms

AWS/GCP

Gen AI concepts

Tools

Docker

Kubernetes

EKS

GitLab CI

Jenkins

GitHub Actions

Maven/Gradle

AWS

GCP

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