Khushbir B

•Create detailed architectural diagrams and documentation to outline the structure of AWS solutions, including network architecture, data storage, and computing resources. •Conducting Application AI led Cloud Modernization Assessments. • Preparing High, Low-Level Design and Technical Reference Models for the Applications hosting on different Private/Public Cloud for Enterprise Architecture. •Creating the AI/GenAI led Cloud Migration, Deployment and Transformation plans/approaches. •Collaborate with stakeholders to understand business and technical requirements, and design scalable, cost-effective solutions using AWS services. •Recommend and select appropriate AWS services to meet the specific needs of each project, considering factors like performance, cost, and security. •Plan, implement, and maintain AWS infrastructure, including but not limited to virtual private clouds (VPCs), subnets, security groups, IAM roles, and networking components. •Facilitate the deployment of applications on AWS, using services like Amazon EC2, Lambda, Elastic Beanstalk, and containers (ECS/EKS). •Implement infrastructure automation and manage AWS resources using tools like AWS CloudFormation or other industry proven. •Optimize AWS costs by selecting cost-effective services and architectures, implementing cost monitoring, and providing recommendations for cost reduction. •Experience with AWS technologies such as SageMaker, Step Functions, OpenSearch, PgVector, S3, IAM, Cognito, EC2, Glue, & EMR. •Track record of thought leadership and innovation around Machine Learning. •Led a cloud initiative as an AWS customer & consulting with a customer in their own IT transformation. •Experience with Performance benchmarking and developing prescriptive guidance on optimally building, deploying and monitoring ML models on AWS to drive actions at scale to provide low prices and increased selection for customers.

• Designed, configured and deployed multiple applications utilizing the Azure stack focusing on high availability and auto scaling. • Strong hands-on experience in AWS, Azure, GCP, Ansible, Terraform, Jenkins, git. • Primary point of contact for all Azure development within the firm by automating cleanup of unused data, snapshots, and instances further reduced storage costs by 65% Storage Archive Access Tiering. • Worked closely with DBA’s and developers to implement Azure Active directory authentication for RDS using SAML. • Worked on Azure App Insights, Alerts and Log Analytics for Monitoring as part of Azure OMS. • Involved in Azure Site Recovery, Azure Backup and Deployed Instances on Azure environments in Data centers and analyzed data for root cause analysis (RCA) using Log analytics. • Worked on Azure Express Route to set up a private connection to cloud services Microsoft Azure, Dynamic 365 and Office 365 • Worked on the Azure Key Vault Services for storing certificates and secrets. • Created Azure Resource Groups using Resource manager which allow monitoring information of resources within resource group and manage access to those resources as a set for individual customers. • Automated the creation of Azure Container instances custom VM Role which includes the validation of OSCAP compliance scans using shell, Python, groovy and packer. • Responsible for Virtual networks, Azure Custom security, Azure VPN-Point to Site, end security and firewall. • Develop, tested, documented, and implemented Security Policies for AWS Cloud. • Performed AWS Cloud administration managing EC2 instances, S3, SES and SNS services. • Implemented Amazon RDS multi-AZ for automatic failover and high availability at the database tier • Created multiple VPC's and public, private subnets as per requirement and distributed them as groups into various availability zones of the VPC. • Hands-on experience in creation PODs and deployment to Kubernetes/OpenShift and debugging.

• Unix/Linux, Automation, Docker & Containers • OS upgrade & patching for Unix/Linux Servers. • Mounting NFS File systems on different flavors of OS. • Support for Production, Stage & Development Environment. • Installation and configuration of Veritas Volume Manger & Veritas Cluster Server. • Resource management under Veritas Cluster Server. • Failover of Service Groups under Veritas Cluster Server. • Configuring GAB & LLT. Starting & Stopping GAB & LLT. • Managing HA Services. • Server Migration, Data Center Migrations & Operations. • File System Administration (Extension, Reduction & Deletion). • Shell Scripting. • Performance Monitoring and Management. • Server Hardening. • Conducting SOX audits and generating reports.

Unix/Linux, Automation, System monitoring, High Availability, Disaster Recovery, Software maintenance, Network management.

Unix/Linux systems engineering using Bash and Python scripting for operational automation, performance tuning, high availability, disaster recovery, system maintenance, and network troubleshooting.