{"id":3102435,"url":"https://alion.io/job/exl-specialist-cloud-operations","title":"Specialist - Cloud Operations","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":269,"ghost_share":0,"stale_share":0.996,"repost_share":0.004,"time_to_fill_p50_days":15,"computed_at":"2026-10-29T05:49:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, 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practices.\nHaving experience of multi cloud infrastructure solutions such as GCP, Azure & AWS\nCarrying out deployment, maintenance, monitoring, and management tasks within this implemented cloud structure.\n Create VNET and Subnets/NSG on cloud platforms AWS / Azure.\nGolden Images back to back management.\nNew deployments, monitoring and documentation.\nManage blob, files, queue and tables\nNew region setup and compliance practices.\nVulnerability management.\nManage Alerts / Activity Log / Log Analytics Workspace\nBackup Policy and enhancement\nAzure Policy & Management Group\nExperience of ITIL process\nProficient with Azure Security Center and Azure Monitor\nHands on & troubleshooting experience of VNG/LNG/Gateway Subnet\nExperience on UDR/Service Tag\nManage Load Balancer (Global/Native)\nInventory Management & ITSM documentation process\nCapturing & Measuring Cloud defined Quality Matrix parameters\nDesign, develop and maintain automated workflows for cloud infrastructure using Terraform and other IaC tools\nEnhance automation frameworks for infrastructure deployment across multiple cloud platforms\nDevelop, manage and integrate GenAI service catalog code generation models with cloud automation pipelines\nDesign and implement CI/CD pipelines to automate builds, testing and deployments\nWrite and maintain automation scripts using Python, Bash or similar languages\nDesign and develop generative AI models for AIOps applications using frameworks such as RAG with Langchain\nUtilize Vector Document Sources and Vector Database Sources in the context of generative AI\nImplement data streaming and manage cloud data lakes for AI model training\nIntegrate generative AI models with existing AIOps platforms to enhance operational efficiency\nCollaborate with cross-functional teams to optimize cloud automation processes\nResearch and implement new automation tools and techniques to improve efficiency\n Create VNET and Subnets/NSG on cloud platforms AWS / Azure.\nGolden Images back to back management.\nNew deployments, monitoring and documentation.\nManage blob, files, queue and tables\nNew region setup and compliance practices.\nVulnerability management.\nManage Alerts / Activity Log / Log Analytics Workspace\nBackup Policy and enhancement\nAzure Policy & Management Group\nExperience of ITIL process\nProficient with Azure Security Center and Azure Monitor\nHands on & troubleshooting experience of VNG/LNG/Gateway Subnet\nExperience on UDR/Service Tag\nManage Load Balancer (Global/Native)\nInventory Management & ITSM documentation process\nCapturing & Measuring Cloud defined Quality Matrix parameters\nDesign, develop and maintain automated workflows for cloud infrastructure using Terraform and other IaC tools\nEnhance automation frameworks for infrastructure deployment across multiple cloud platforms\nDevelop, manage and integrate GenAI service catalog code generation models with cloud automation pipelines\nDesign and implement CI/CD pipelines to automate builds, testing and deployments\nWrite and maintain automation scripts using Python, Bash or similar languages\nDesign and develop generative AI models for AIOps applications using frameworks such as RAG with Langchain\nUtilize Vector Document Sources and Vector Database Sources in the context of generative AI\nImplement data streaming and manage cloud data lakes for AI model training\nIntegrate generative AI models with existing AIOps platforms to enhance operational efficiency\nCollaborate with cross-functional teams to optimize cloud automation processes\nResearch and implement new automation tools and techniques to improve 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