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Tier-1 brand, metro location, mid-level generalist cloud role, and broad skill set increase competition.
Cloud infrastructure skills transfer broadly, but OT/industrial domain experience increases fit sensitivity.
Explicit 5–8 years and mandatory cloud/platform, infrastructure and security skills enforce strict filters.
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Design, evolve, and support cloud-first infrastructure platforms enabling engineering analytics, ML/AI, and GenAI workloads focusing on performance, reliability, security, and cost.
Lead infrastructure initiatives across architecture, design, implementation, testing, deployment, and operational transition for cloud and hybrid environments, working cross-functionally with architects, engineers, security, and operations.
Drive infrastructure integration and operational excellence by enabling secure, scalable data access, tracking SLAs/KPIs, troubleshooting issues, and promoting automation and continuous improvement.
5-8 years of experience in infrastructure architecture, cloud platform engineering, or related technical roles.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent experience/knowledge.
Strong experience with cloud platforms (AWS, Azure) and hybrid architectures; virtualization and platform operations (e.g. VMware, Hyper-V, containers).
Experience with infrastructure automation, Infrastructure as Code, enterprise networking, compute, storage, and resilience concepts.
Experienced in industrial, enterprise, or engineering environment infrastructure supporting cloud and hybrid deployments, especially with analytics or AI workloads.
Skilled at collaborating across engineering, cybersecurity, operations, and IT/OT teams to deliver reliable, secure, and scalable infrastructure.
Comfortable working in complex, cross-functional initiatives involving modernization, automation, and continuous infrastructure improvement in a data- and AI-driven context.