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Specialist - Cloud Operations @ EXL

INOnsiteFull-timeJob reference 18640
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About this role

• Understanding new requirements and proposing best fit solution on cloud. • Deep knowledge of AWS/Azure/GCP tools and Best practices. • Having experience of multi cloud infrastructure solutions such as GCP, Azure & AWS • Carrying out deployment, maintenance, monitoring, and management tasks within this implemented cloud structure.

• Create VNET and Subnets/NSG on cloud platforms AWS / Azure. • Golden Images back to back management. • New deployments, monitoring and documentation. • Manage blob, files, queue and tables • New region setup and compliance practices. • Vulnerability management. • Manage Alerts / Activity Log / Log Analytics Workspace • Backup Policy and enhancement • Azure Policy & Management Group • Experience of ITIL process • Proficient with Azure Security Center and Azure Monitor • Hands on & troubleshooting experience of VNG/LNG/Gateway Subnet • Experience on UDR/Service Tag • Manage Load Balancer (Global/Native) • Inventory Management & ITSM documentation process • Capturing & Measuring Cloud defined Quality Matrix parameters • Design, develop and maintain automated workflows for cloud infrastructure using Terraform and other IaC tools • Enhance automation frameworks for infrastructure deployment across multiple cloud platforms • Develop, manage and integrate GenAI service catalog code generation models with cloud automation pipelines • Design and implement CI/CD pipelines to automate builds, testing and deployments • Write and maintain automation scripts using Python, Bash or similar languages • Design and develop generative AI models for AIOps applications using frameworks such as RAG with Langchain • Utilize Vector Document Sources and Vector Database Sources in the context of generative AI • Implement data streaming and manage cloud data lakes for AI model training • Integrate generative AI models with existing AIOps platforms to enhance operational efficiency • Collaborate with cross-functional teams to optimize cloud automation processes • Research and implement new automation tools and techniques to improve efficiency

• Create VNET and Subnets/NSG on cloud platforms AWS / Azure. • Golden Images back to back management. • New deployments, monitoring and documentation. • Manage blob, files, queue and tables • New region setup and compliance practices. • Vulnerability management. • Manage Alerts / Activity Log / Log Analytics Workspace • Backup Policy and enhancement • Azure Policy & Management Group • Experience of ITIL process • Proficient with Azure Security Center and Azure Monitor • Hands on & troubleshooting experience of VNG/LNG/Gateway Subnet • Experience on UDR/Service Tag • Manage Load Balancer (Global/Native) • Inventory Management & ITSM documentation process

Capturing & Measuring Cloud defined Quality Matrix parameters

• Design, develop and maintain automated workflows for cloud infrastructure using Terraform and other IaC tools • Enhance automation frameworks for infrastructure deployment across multiple cloud platforms • Develop, manage and integrate GenAI service catalog code generation models with cloud automation pipelines • Design and implement CI/CD pipelines to automate builds, testing and deployments • Write and maintain automation scripts using Python, Bash or similar languages • Design and develop generative AI models for AIOps applications using frameworks such as RAG with Langchain • Utilize Vector Document Sources and Vector Database Sources in the context of generative AI • Implement data streaming and manage cloud data lakes for AI model training • Integrate generative AI models with existing AIOps platforms to enhance operational efficiency • Collaborate with cross-functional teams to optimize cloud automation processes • Research and implement new automation tools and techniques to improve efficiency

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