EXL

Specialist - Cloud Operations

Posted 2 Months Ago

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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND

Hybrid

Mid level

Information Technology • Database • Consulting

The Role

Designs, deploys, monitors, and manages multi-cloud infrastructure (AWS/Azure/GCP). Implements IaC (Terraform), CI/CD, automation scripts, and GenAI integrations for AIOps. Manages networking (VNet, subnets, NSG, UDR), storage (blob/queue/tables), backups, monitoring (Log Analytics, Azure Monitor), security (Azure Security Center, vulnerability management), and compliance across regions. Collaborates cross-functionally and enhances cloud automation and observability.

Summary Generated by Built In

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

Skills Required

Experience with AWS, Azure and GCP multi-cloud infrastructure
Create and manage VNet, Subnets and NSG on cloud platforms
Manage Azure blob, files, queue and tables (storage services)
Golden image creation and lifecycle management
Deployments, monitoring and operational documentation
New region setup and cloud compliance practices
Vulnerability management for cloud resources
Manage Alerts, Activity Log and Log Analytics Workspace
Backup policy design and enhancement
Implement and manage Azure Policy and Management Groups
Hands-on with Azure Security Center and Azure Monitor
Troubleshooting VNG/LNG/Gateway subnet issues
Experience with UDR and service tags
Manage Load Balancers (global/native)
Inventory management and ITSM documentation (ITIL experience)
Design, develop and maintain automated workflows for cloud using Terraform and IaC tools
Enhance automation frameworks for multi-cloud infrastructure deployment
Design and implement CI/CD pipelines for builds, testing and deployments
Write and maintain automation scripts using Python, Bash or similar
Develop and integrate GenAI service catalog/code-generation models with cloud automation pipelines
Design generative AI models for AIOps (e.g., RAG with LangChain) and utilize vector document/database sources
Implement data streaming and manage cloud data lakes for AI model training
Integrate generative AI models with existing AIOps platforms to improve operations
Research and implement new automation tools and techniques; collaborate with cross-functional teams

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The Company

HQ: New York, NY

30,246 Employees

Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.