Specialist - Cloud Operations

Job description

- 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. - 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