Cloud Operations Lead

Basic Function

• 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.
• Experience working with networking components such as DNS, DHCP, HTTP, IP addresses, LAN/WAN technology, TCP/IP, as well as components like switches, routers, and firewalls

Essential Functions:

• 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