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Medium — popular cloud role with broad skills required but non-metro location and moderate employer brand.
Medium — core cloud and IaC skills transfer across industries, but AIOps/genAI and platform specifics increase domain bias.
High — many mandatory cloud, multi-cloud, IaC, security and GenAI AIOps technical requirements filter strictly.
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Own deployment, maintenance, monitoring, and management of multi-cloud infrastructure (AWS, Azure, GCP) including network setup and compliance.
Design, develop, and maintain automated cloud infrastructure workflows using Terraform and other Infrastructure-as-Code (IaC) tools across multiple cloud platforms.
Develop and integrate generative AI models with cloud automation and AIOps platforms to enhance operational workflows, including managing CI/CD pipelines and automation scripts.
Experience managing cloud network components like VNET, Subnets, Network Security Groups (NSG), Load Balancers, and cloud storage components (blob, files, queue, tables) in AWS and Azure.
Hands-on expertise with Azure Security Center, Azure Monitor, vulnerability management, backup policies, ITIL processes, and compliance practices.
Proficiency in automation scripting languages such as Python or Bash and experience with Terraform for cloud infrastructure automation.
Work Experience Required: Not explicitly mentioned in the JD
Practitioner experienced in multi-cloud infrastructure operations and network setup with strength in automation and Infrastructure-as-Code tools.
Skilled in developing and integrating generative AI models into cloud automation pipelines, indicating familiarity with AI frameworks like RAG and Langchain.
Familiar with designing and maintaining CI/CD pipelines and comfortable collaborating across teams to optimize cloud and AI operational processes.