Total 2 job vacancies by Vui Systems Pte. Ltd.

Cloud Engineer responsible for managingvirtualization and hyperconverged infrastructure platforms, specifically VMwareand Nutanix. The objective is to ensure high availability, scalability,performance, and security of the virtual infrastructure supporting businessapplications.

Responsibities:

• Manage VMware and Nutanix environments end-to-end
• Ensure performance, availability, and security compliance
• Provide proactive recommendations and continuous improvements
• Maintain a resilient and highly available virtual infrastructure
• Optimise performance and resource utilisation across clusters
• Ensure secure and compliant virtual environments
• Support automation, scalability, and cloud-like operations
• Deliver efficient provisioning and lifecycle management
• Deploy, configure, and manage VMware environments (vSphere, ESXi, vCenter)
• Manage clusters, resource pools, and virtual machines (VMs)
• Configure and maintain HA, DRS, and vMotion
• Perform lifecycle management (patching, upgrades, firmware coordination)
• Manage templates, snapshots, and VM provisioning
• Deploy and maintain Nutanix AOS and AHV environments
• Manage clusters using Nutanix Prism (Element/Central)
• Provision and manage virtual machines and storage containers
• Configure and maintain HA, live migration, and storage policies
• Perform cluster expansion, upgrades, and health monitoring
• Integrate VMware and Nutanix environments with backup solutions
• Manage VM-level backups and replication
• Perform restore operations (file-level, VM-level, full recovery)
• Conduct periodic recovery and DR testing
• Provide  support for virtualization-related issues
• Troubleshoot VM, host, and cluster issues
• Conduct root cause analysis (RCA) for major incidents
• Collaborate with network, storage, and system teams

Qualifications:

• Possess fundamental knowledge of security and vulnerability-based approach to security hardening.
• Hands-on experience in VMware, Windows Server and standard platform Monitoring
• Candidates will need to coordinate and work closely with other parts of IT and the business to implement recommendations as needed.
• Administer, monitor, and maintain security infrastructure (Patch, Upgrade, and Monitor for issues).
• Significant understanding and ability to work with Windows, Linux, and Mac operating systems.
• Strong attention to detail with analytical and problem-solving skills.
• Awareness of cybersecurity trends, issues, and hacking techniques.
• VMware: vSphere, ESXi, vCenter, SRM, vSAN
• Nutanix: AOS, AHV, Prism, Leap, Calm
• Automation: PowerCLI, Ansible,
• Backup: Commvault

Must have relevant experience in Security or security related fields.

Job Summary: The ideal candidate will have a strong background in GenAI development, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred. Candidate will play a key role in designing, developing, and implementing cutting-edge GenAI solutions that leverage the power of Azure and OpenAI technologies.

Responsibilities:

· Design, develop, and implement GenAI solutions that integrate with Azure and OpenAI platforms.

· Collaborate with cross-functional teams to gather requirements and define project objectives.

· Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.

· Develop and maintain scalable and efficient codebase for GenAI applications.

· Optimize GenAI models and algorithms for performance and accuracy.

· Troubleshoot and debug GenAI applications, ensuring smooth operation and minimal downtime.

· Collaborate with data scientists and machine learning engineers to enhance GenAI capabilities.

· Provide technical guidance and mentorship to junior team members.

· Stay informed about industry trends and best practices in GenAI engineering and cloud service integration.

Requirements:

· Bachelor’s or master’s degree in computer science, Engineering, or a related field.

· Proven experience as a GenAI Engineer, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred.

· Strong programming skills in languages such as Python and/or Java.

· Experience with Azure services, including Azure Machine Learning, Azure Cognitive Services, and Azure Functions.

· Familiarity with OpenAI technologies, such as GPT-3/4 and reinforcement learning frameworks.

· Solid understanding of machine learning algorithms and deep learning frameworks.

· Proficiency in data preprocessing, feature engineering, and model evaluation techniques.

· Strong problem-solving and analytical skills.

· Excellent communication and collaboration abilities.

· Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

· Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.

· Knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML.

· Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.

· Knowledge of containerization technologies such as Docker and Kubernetes.

· Familiarity with DevOps practices and tools for CI/CD pipelines.

· Contributions to open-source GenAI or cloud service integration projects.