Lead Engineer/ Engineer, DevOps & MLOps (AI Platform), xCloud

HTX (Home Team Science & Technology Agency); Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

HTX is Singapore’s premier Science and Technology agency focused on homeland security. The AI Platform team builds and deploys AI‑infused software with modern DevSecOps, agile practices, and scalable ML infrastructure.

The role targets DevOps & ML Engineer core responsibilities, enabling automated AI workloads and robust pipelines. You will design, implement, and maintain ML infra using Kubeflow, MLflow, RunAI, and ArgoCD/FluxCD, while ensuring secure, reliable deployments and fast feedback

Qualifications

• Experience with Linux and Python and scripting capabilities.
• Experience developing and deploying containerised apps with Docker and Kubernetes.
• Strong CI/CD experience, e.g., GitLab CI, in an ML/AI context.
• Solid DevSecOps understanding, including container security and vulnerability scanning.
• Familiarity with cloud or on‑premise security best practices and threat modelling.
• Relevant Kubernetes certifications (CKA/CKAD/CKS) preferred.
• Strong problem‑solving and collaboration skills in a fast‑paced environment.
• 1–5 years of relevant working experience.
• Two‑year contract to start with potential for permanent tenure.

Responsibilities

• Design, build, and maintain scalable ML infrastructure using Kubeflow, MLflow, RunAI, GitLab.
• Automate CI/CD and ML environments to ensure consistency and reliability.
• Ensure automated testing and validation of AI/ML models before deployment.
• Monitor and optimise CI/CD pipeline performance to reduce build times.
• Monitor model health and logging/alerting for production workloads.
• Implement retraining strategies based on performance metrics.
• Develop IaC scripts to provision ML and infrastructure resources.
• Participate in agile ceremonies and backlog grooming.

Skills

Linux

Python

Scripting

Docker

Kubernetes

Kubeflow

MLflow

RunAI

ArgoCD/FluxCD

GitLab CI

DevSecOps

Cloud security

CKA/CKAD/CKS

Tools

Kubeflow

MLflow

RunAI

ArgoCD/FluxCD

Docker

Kubernetes

GitLab CI

Job description

What The Role Is

HTX is the world’s first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore’s frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team’s advantage and secure Singapore as the safest place on planet earth.

What The Role Is

HTX is the world’s first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore’s frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team’s advantage and secure Singapore as the safest place on planet earth.

The jobholder will be part of the AI Platform team. The team is charged with a mission to transform the way HTX delivers software infused with AI by leveraging on the latest technologies to enable agile software development, zero-trust security, continuous devsecops and artificial intelligence.

We are looking for highly technical individuals who are passionate about tech, love to solve problems, must be able to code and have a sound engineering mind. The ideal candidate is one who dares to innovate, takes ownership, a great team player, inspires excellence, is a skilled learner and one who embraces failures.

We are looking for a DevOps & ML Engineer to develop our AI platform, automate the deployment of AI workloads, and build robust DevSecOps pipelines.

What You Will Be Working On

• Design, build, and maintain scalable ML infrastructure using tools like Kubeflow, MLflow, RunAI, GitLab etc
• Automate the setup and maintenance of CI/CD and ML environments and pipelines to ensure consistency and reliability.
• Ensure automated testing and validation of AI/ML models before deployment.
• Monitor and optimise CI/CD pipeline performance to reduce build and deployment times.
• Monitor model performance and health, using tools for logging, monitoring, and alerting.
• Implement strategies for model retraining and updating based on performance metrics.
• Develop infrastructure as Code (IaC) scripts to automate the provisioning and management of ML and Infrastructure.
• Participate actively in agile ceremonies such as sprint planning, daily stand-ups, retrospectives, and backlog grooming.

What We Are Looking For

• Skilled in Linux and Python; knowledge of JavaScript or other scripting languages is a plus.
• Experience with developing and deploying applications as containers using Docker and Kubernetes and ML infrastructure tools such as Kubeflow, MLflow, RunAI and ArgoCD/FluxCD.
• Experience with full-stack agile software development practices and managing CI/CD pipelines (e.g., GitLab CI).
• Solid understanding of DevSecOps practices, including container security, vulnerability scanning, and integrating security into CI/CD pipelines.
• Familiarity with cloud or on-premise security best practices, threat modelling, and relevant compliance frameworks.
• Relevant Cloud or Kubernetes certifications (e.g., CKA, CKAD, CKS) are highly preferred.
• Strong problem-solving skills and ability to troubleshoot complex issues.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment.
• Continuous learning mindset to keep up with technological advancements.
• Preferably 1-5 years of relevant working experience.
• All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance.
• As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
• All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.