Job Description

To cope with rapid organizational and business development in cross-regions, we are seeking high caliber professional to join our team for the following newly created senior level capacity:

Job Summary:

We are seeking talented Cloud Systems Engineers at both junior and senior levels to join our team, specializing in Linux, Ansible automation, Kubernetes, containerization, cloud technologies, High-Performance Computing (HPC) cluster management, MLOPS, and Nvidia AI enterprise solutions, including Base Command Manager. The successful candidates will be instrumental in developing, deploying, and managing scalable, secure, and efficient cloud-based and on-premise solutions to meet our business needs.

Key Responsibilities:

• Design, implement, and manage Cloud-Based and on-premise solutions and infrastructure.
• Automate deployment, scaling, and management tasks using Ansible and other tools.
• Ensure system security and compliance with industry best practices.
• Collaborate with cross-functional teams to support the deployment of machine learning models and HPC workloads.
• Provide technical guidance and support for cloud and HPC-related projects.
• Stay updated with emerging technologies and advancements in cloud computing, containerization, and AI/ML.

Working Experience and Requirements:

• Fundamental Knowledge: Solid understanding of Linux operating systems and proficient use of Ansible for automation. Familiarity with cloud service providers (e.g., AWS, Azure, Google Cloud) and their services.
• Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and other container management solutions. Ability to design, deploy, and manage containerized applications.
• Cloud Technologies: Proven experience in cloud computing, including the deployment, scaling, and management of cloud resources. Understanding of cloud security principles and best practices.
• HPC Cluster Management: Experience in managing and optimizing HPC clusters, with a focus on efficiency and performance. Knowledge of cluster management tools and practices.
• MLOps: Familiarity with Machine Learning Operations (MLOps) principles and workflows. Experience in integrating ML models into production environments is a plus.
• Nvidia AI Enterprise Solutions: Experience with Nvidia AI enterprise solutions, including Base Command Manager, is highly desirable. Understanding of AI/ML frameworks and their deployment on Nvidia platforms.
• Education: A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Advanced degrees are preferred for senior positions.
• Experience Level: For junior positions, 1-2 years of relevant experience. For senior positions, 5+ years of experience in cloud systems engineering or related roles.
• Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative attitude. Ability to work in a fast-paced environment and manage multiple priorities.

You have a career opportunity in gaining knowledge and experience in serving one of the largest Data Centre providers for local and international enterprise.
 

Attractive remuneration package and fringe benefits, including 5-day work, performance bonus, medical insurance with dental benefit, paid annual leave, sick leave, marriage, festival leave etc., will be offered to the right candidate.

Interested parties, please send your full resume stating with current and expected salary to the Head of Human Resources by clicking “Apply Now”.

For more information, please visit our website at http://www.oneas1a.com

Equal employment opportunities apply to all applicants. All applications and data collected will be treated in strict confidence and used exclusively for recruitment purposes. Only short-listed candidates will be invited for interview. The company will retain the applications for a maximum period of 12 months and may refer suitable candidates to other vacancies within the Group.