DevSecOps Engineer — AI Platform

NEUTRON PTE. LTD.; Singapore; Hybrid; SGD 110,000 - 170,000; Full time

Benefits offered by this job

2 days WFH

Job summary

NEUTRON PTE. LTD. is seeking a hands-on engineer to own the full lifecycle of an AI-powered document processing and case intelligence platform on AWS GCC.

You will collaborate with business owners, analysts and solution architects to translate user stories into technical requirements and deliver end-to-end infrastructure and security solutions across products and systems. The role spans development and platform engineering, not backend-only, with a 12-month contract and an option to extend.

Qualifications

• Minimum 4 years' relevant working experience.
• Degree or diploma in Computer Science, Computer or Electronics Engineering, IT or a related discipline.
• Passion for automation, standardisation and best practices in infrastructure and security.
• Strong understanding of the Software Development Life Cycle (SDLC), Test-Driven Development (TDD), Continuous Integration (CI) and Continuous Delivery (CD).
• Track record in agentic AI system design: multi-agent pipelines, Bedrock AgentCore, orchestration and MCP Server, RAG knowledge bases, human-in-the-loop architecture.
• Experience working with high-availability, high-performance and high-security multi-data-centre systems and hybrid cloud environments.
• Proficiency in PowerShell and Python.
• Experience with Git and modern branching workflows.
• Strong understanding of container technologies (Docker, Kubernetes).
• Experience with CI/CD pipelines (GitHub Actions, GitLab CI).

Responsibilities

• Translate user stories into technical requirements with cross-functional stakeholders.
• Develop and maintain API integrations with the case management system and other systems.
• Design and build the agentic AI pipeline, including LLM API integration and prompt engineering.
• Work with QA to deploy, manage, scale and monitor apps in data centres and cloud environments.
• Troubleshoot and resolve system and application issues; participate in on-call escalations.
• Own end-to-end infrastructure and security solutions across products and systems.
• Deploy and manage monitoring tools to track infrastructure performance and health.
• Configure and maintain CI/CD pipelines with streamlined change management.
• Develop scripts and automation tools for build, integration and deployment.
• Plan, implement and monitor system security architecture, including risk assessments.

Skills

Automation mindset

SDLC

TDD

CI/CD

Agentic AI design

High availability systems

PowerShell

Python

Git & branching

Cloud security

Education

Degree or diploma in Computer Science/Engineering/IT

Tools

Docker

Kubernetes

Git

GitHub Actions

GitLab CI

Job description

2 days WFH

About the role

You will be the main hands-on engineer across the full lifecycle of an AI-powered document processing and case intelligence platform on AWS GCC. This spans development and platform engineering; it is not a backend-only role. You will work with the business owner, business analyst and solution architect to translate user stories into technical requirements, and take ownership of end-to-end infrastructure and security solutions across the products and relevant systems. 12-month contract with an optional 12-month extension.

Key responsibilities

• Work with the business owner, business analyst and solution architect to translate user stories into technical requirements

• Develop and maintain API integrations with the case management system and any other required systems

• Design and build the agentic AI pipeline, including LLM API integration, prompt engineering, skill and context design, structured output schemas, confidence scoring and error handling

• Work with the Software Quality Engineer to develop automation and processes to deploy, manage, scale and monitor applications in data centre and cloud environments

• Troubleshoot and resolve system and application issues, participating in on-call escalations for critical incidents

• Take ownership of end-to-end infrastructure and security solutions across the products and relevant systems

• Deploy and manage monitoring tools to track infrastructure performance, utilisation and health

• Configure and maintain CI/CD pipelines, incorporating streamlined change management and release processes

• Develop scripts and automation tools to support software build, integration and deployment across development and production environments

• Plan, implement and monitor system security architecture, including threat and risk assessments

About you

• Minimum 4 years' relevant working experience

• Degree or diploma in Computer Science, Computer or Electronics Engineering, IT or a related discipline

• Passion for automation, standardisation and best practices in infrastructure and security

• Strong understanding of the Software Development Life Cycle (SDLC), Test-Driven Development (TDD), Continuous Integration (CI) and Continuous Delivery (CD)

• Track record in agentic AI system design: multi-agent pipelines, Bedrock AgentCore, orchestration and MCP Server, RAG knowledge bases, human-in-the-loop architecture

• Experience working with high-availability, high-performance and high-security multi-data-centre systems and hybrid cloud environments

• Proficiency in PowerShell and Python

• Experience with Git and modern branching workflows

• Strong understanding of container technologies (Docker, Kubernetes)

• Experience with CI/CD pipelines (GitHub Actions, GitLab CI)

Significant advantage

• Experience in regulatory or compliance contexts where agent outputs must beaccurate,auditableand structured for expert reviewers

Added advantage

• Security certifications such as CREST, CISSP, CISM or relevant cloud security credentials

• Experience working in anorganisationthat successfully implemented aDevSecOpstransformation

• Hands-on experience with API security, secrets management and zero-trust architectures

• Experience developing and deploying systems on GCC