Job 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.

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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