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

What The Role Is HTX is Singapore's Science and Technology agency that brings together diverse scientific and engineering capabilities to develop transformative, operationally ready solutions for public safety. As a statutory board under the Ministry of Home Affairs, HTX works at the forefront of science and technology to empower the Home Team with cutting-edge capabilities. Guided by our mission to amplify, augment and accelerate the Home Team's advantage, we are committed to keeping Singapore the safest place on planet Earth. xCloud is dedicated to elevating the enterprise experience through cutting-edge cloud capabilities, including: • Sustainable enterprise data centres • Hybrid cloud platforms • Advanced cloud security measures • Integrated Development, Security, and Operations (DevSecOps) • Innovative enterprise Software-as-a-Service (SaaS) solutions • AI-powered enterprise applications 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 modeling, 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. #J-18808-Ljbffr