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We are seeking a Cloud Engineer – Azure to design, implement, and operate highly scalable, secure, and resilient Microsoft Azure cloud environments. The role involves working across multiple customer environments, supporting cloud build, migration, and ongoing operations in line with best practices and defined service-level expectations.

Job Responsibilities:

• Design, build, and manage highly scalable Azure infrastructure aligned with best practices
• Implement and maintain Azure Landing Zones, including management groups, networking, security baselines, and governance controls
• Design and operate Azure networking architectures (VNets, subnets, routing, VPN, Express Route, load balancing)
• Support cloud migration assessments, including evaluation of on-premises environments and readiness for Azure
• Provision and manage infrastructure using Infrastructure as Code (Bicep, ARM templates, and/or Terraform)
• Operate and support environments under defined SLAS, including incident management, troubleshooting, and root- cause analysis.
• Implement security and architecture baselines, including identity, network segmentation, logging, and monitoring standards
• Apply FinOps principles to support cost visibility, tagging, budgeting, and optimization
• Produce technical documentation, runbooks, and support knowledge transfer during handover

Qualifications & Experience:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
• 3+ years of hands-on experience with Microsoft Azure cloud infrastructure
• Proven hands-on experience deploying and operating enterprise-level Azure environments
• Azure Certification (Associate level required; Expert level is an advantage)
• Strong understanding of Azure workloads and deployment models
• Solid networking knowledge, including TCP/IP, DNS, routing, firewalls, and load balancing Hands-on experience with Infrastructure as Code (Bicep, ARM, and/or Terraform)
• Strong scripting and automation capability, with experience in high-level scripting languages commonly used for cloud automation.
• Working knowledge of FinOps principles and cloud cost optimization practices

Apply now and grow your career with H One.