AI Cloud Engineer (Project Based)

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Min 3 years of experience in cloud engineering, cloud infrastructure, or cloud solution development.
• Hands-on experience in designing, deploying, and managing cloud services on Microsoft Azure.
• Strong understanding of Azure cloud services, including compute, storage, networking, security, and monitoring.
• Experience in supporting application development through cloud-based architecture and platform services.
• Basic understanding of AI/ML-related cloud services in Azure (such as Azure AI Services, Azure Machine Learning, or cognitive services) is preferred.
• Strong analytical, problem-solving, and troubleshooting skills.
• Willing to work full-time and onsite in the office
• Willing to be a PKWT contract employee for the Lintasarta project

Responsibilities:

• Prepare, develop, and maintain cloud services utilizing the Microsoft Azure platform to support application development and business use cases.
• Design and implement scalable, secure, and reliable cloud infrastructure in Azure.
• Collaborate with development and product teams to provide cloud-based solutions that align with application and business requirements.
• Manage and optimize Azure resources, including compute, storage, networking, and platform services.
• Support the deployment, integration, and operation of applications in Azure environments.
• Monitor cloud performance, availability, and cost utilization, and recommend improvements where necessary.
• Automate cloud provisioning, deployment, and operational processes using scripts and Infrastructure as Code (IaC).
• Evaluate and adopt relevant Azure services to enhance application development and support emerging AI-driven use cases.