Design, deploy, and govern AI-powered agents (e.g., using Azure Copilot /AWS Bedrock) to achieve autonomous self-healing capabilities and automated resource management.

Handle regular operational requests with hands-on experience using Terraform for EC2 changes, S3 updates, user access management, and managed services like SageMaker, Bedrock, Storage Gateway, RDS, and Transfer Family etc.

Supervise and refine AI-generated Infrastructure-as-Code (IaC) (Terraform/Ansible) for Developing and maintaining complex and scalable Terraform/ansible/CloudBees (Jenkins) automation pipelines to provision, deploy, patch, and manage cloud infrastructure.

Implementing AI-based automation solutions for Cloud Operations to Monitor performance, scalability, and respond to incidents and operational issues autonomously.

Implement GenAI tools to perform real-time Root Cause Analysis (RCA), correlate complex event data (logs, metrics), and auto-generate runbooks and incident summaries.

Develop and train predictive ML models to analyze historical telemetry and forecast potential system outages or performance bottlenecks and configure proactive monitoring and alerting for critical services.

Manage security and compliance by utilizing AI agents to detect configuration drift and auto-generate compliant updates for IAM, network, and security policies.

Manage security and compliance by remediating vulnerabilities, configuring notifications, supporting audits, and maintaining certifications and governance standards.

Collaborate with application, architecture, AIOps, FinOps, and security teams to ensure production readiness.

Lead proof-of-concepts, implement new cloud services, and adapt quickly to new cloud releases and features to enhance operational capabilities.

Understand middleware components to provide end-to-end production support and troubleshoot complex operational scenarios.

Works with application teams, analyzing logs and data, opens service requests, works with vendors, partners, and drives problem resolution.

Reviews architectural designs for applications to ensure reliable and performant design patterns are implemented.

Hands-on experience in deploying applications, workloads, and data to the cloud environment, often involving migration from on-premises infrastructure or other cloud providers.

Advanced experience working with Finance and procurement team and implement cost optimization strategies based on changing workload patterns, business requirements, and new offerings from cloud providers.

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Design, deploy, and govern AI-powered agents (e.g., using Azure Copilot /AWS Bedrock) to achieve autonomous self-healing capabilities and automated resource management.

Handle regular operational requests with hands-on experience using Terraform for EC2 changes, S3 updates, user access management, and managed services like SageMaker, Bedrock, Storage Gateway, RDS, and Transfer Family etc.

Supervise and refine AI-generated Infrastructure-as-Code (IaC) (Terraform/Ansible) for Developing and maintaining complex and scalable Terraform/ansible/CloudBees (Jenkins) automation pipelines to provision, deploy, patch and manage cloud infrastructure

Implementing AI based automation solutions for Cloud Operations to Monitor performance, scalability and respond to incidents and operational issues autonomously

Implement GenAI tools to perform real-time Root Cause Analysis (RCA), correlate complex event data (logs, metrics), and auto-generate runbooks and incident summaries.

Develop and train predictive ML models to analyze historical telemetry and forecast potential system outages or performance bottlenecks and configure proactive monitoring and alerting for critical services.

Manage security and compliance by utilizing AI agents to detect configuration drift and auto-generate compliant updates for IAM, network, and security policies.

Manage security and compliance by remediating vulnerabilities, configuring notifications, supporting audits, and maintaining certifications and governance standards.

Collaborate with application, architecture, AIOps, FinOps and security teams to ensure production readiness.

Lead proof-of-concepts, implement new cloud services and Adapt quickly to new cloud releases and features to enhance operational capabilities.

Understand middleware components to provide end-to-end production support and troubleshoot complex operational scenarios.

Works with application teams, analyzing logs and data, opens service requests, works with vendors, partners, and drives problem resolution.

Reviews architectural designs for applications to ensure reliable and performant design patterns are implemented.

Hands-on experience in deploying applications, workloads, and data to the cloud environment, often involving migration from on-premises infrastructure or other cloud providers.

Advanced experience working with Finance and procurement team and implement cost optimization strategies based on changing workload patterns, business requirements, and new offerings from cloud providers.

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