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Specialist - Cloud Operations

icon building Company : Exl
icon briefcase Job Type : Full Time

Job Description - Specialist - Cloud Operations

Description

  • 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.



Responsibilities

  • 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



Qualifications

  • 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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