Job Overview: McDermott is seeking an experienced Technology Specialist to design, implement, optimize, and support enterprise cloud infrastructure across Microsoft Azure and Amazon Web Services (AWS). This role is responsible for delivering secure, scalable, highly available, and cost-effective cloud platforms that support business critical applications, infrastructure services, and emerging AI workloads. The ideal candidate will possess strong expertise in cloud infrastructure, networking, identity and access management, security, automation, disaster recovery, and cloud operations. Experience supporting AI platforms such as Azure OpenAI, Azure AI Foundry, and Microsoft Copilot is preferred. This individual will work closely with infrastructure, security, application, and business teams to drive cloud modernization, operational excellence, and AI platform enablement across the enterprise. Key Tasks and Responsibilities: • Design, implement, and support enterprise cloud infrastructure in Azure and AWS. • Architect highly available, scalable, and resilient cloud solutions. • Lead cloud migration and modernization initiatives from on premises environments. • Manage cloud resources including compute, networking, storage, and platform services. • Develop and maintain cloud architecture standards, governance frameworks, and operational procedures. • Administer Microsoft Entra ID, AWS IAM, RBAC, Privileged Identity Management (PIM), and Conditional Access policies. • Support compliance, audit, cybersecurity, disaster recovery, and business continuity requirements. • Design and support hybrid cloud and multi cloud networking solutions, including VPN, ExpressRoute, Direct Connect, DNS, firewall, and load balancing technologies. • Automate infrastructure deployments and operational processes using Terraform, Bicep, ARM Templates, CloudFormation, PowerShell, and Python. • Partner with application and data teams to support AI and machine learning workloads, including Retrieval Augmented Generation (RAG) solutions. • Monitor cloud platform health, performance, utilization, and costs. • Evaluate emerging cloud and AI technologies and recommend adoption strategies. Essential Qualifications and Education: • Bachelor's degree in Information Technology, Computer Science, Engineering, or related discipline. • 7+ years of Microsoft Azure infrastructure experience. • 3+ years of AWS infrastructure experience. • Experience designing and supporting cloud environments. • Experience with infrastructure automation, cloud governance, and operational support. • Experience supporting hybrid cloud or multi cloud environments. • Strong troubleshooting, analytical, and problem solving skills. • Technical Skills • Microsoft Azure • Amazon Web Services (AWS) • Microsoft Entra ID • AWS IAM • Windows Server and Linux Administration • Azure and AWS Networking • DNS, Load Balancers, Firewalls • Terraform, Bicep • Azure DevOps and GitHub • PowerShell and Python • Azure Monitor, Log Analytics, CloudWatch, Application Insights • Cost Management and Resource Optimization • AI Platform Experience Preferred Qualifications and Education: • Experience supporting AI, machine learning, or generative AI platforms. • Experience with cloud migration and modernization initiatives. • Experience supporting global enterprise environments. • Technical Skills • Azure OpenAI Service • Azure AI Foundry • Microsoft Copilot • AWS Bedrock • RAG Architectures • Preferred Certifications • Microsoft Certified: Azure Administrator Associate (AZ-104) • Microsoft Certified: Azure Solutions Architect Expert (AZ-305) • Microsoft Certified: Azure Security Engineer Associate (AZ-500) • Microsoft Certified: Azure Network Engineer Associate (AZ-700) • AWS Certified Solutions Architect (Associate or Professional) • AWS Certified SysOps Administrator • AWS Certified Security Specialty • Microsoft Certified: Azure AI Engineer Associate (AI-102) Preferred • Ideal Candidate Profile • A hands on cloud infrastructure professional with strong Azure and AWS expertise who can design, deploy, automate, secure, and support enterprise scale cloud environments. The ideal candidate combines infrastructure, networking, identity, and security knowledge with exposure to AI platforms and technologies, helping McDermott enable both its cloud strategy and growing AI initiatives. #LI-NS1 #DICE