"Implemented a multi-cloud strategy across AWS, GCP, and Azure, leading to a 20% improvement in deployment efficiency and a 15% reduction in operational costs."Built a Proof of Concept (PoC) application around Machine Learning (ML) Operations (MLOps) framework on Kubernetes: automated model registry and deployment using MLFlow, data pipelines with Airflow, API model calls using FastApi and CI/CD pipeline in Jenikins.Handled Migration of AWS Infrastructure from the on-prem data center in DFW to AWSSetup AWS Cloud Front, S3, Cloud Watch, EC2 Instances, AWS WAF Shield, CDN in Amazon AWSWorked on a POC to deploy the API components on GKE cluster on GCP for flexibility. Prepared a Demo too. Worked on AWS Shield and Firewall to prevent DDOS attacks on Yellow pages PortalWorked on Site Reliability Engineering (SRE) and given production support for infrastructure on AWS by continuousmonitoring of infrastructure in New Relic and comparing the performance against goalsSecurity hardening at Infrastructure level with EC2 Security Groups, NSGs, VPC NACLs, moving instances in publicsubnets to private subnets, using bastion hosts for admin access.Worked with Flux9 vendor in setting up landing zones for the infrastructure in AWS in Gold and PlatinumPlans for migration. This includes both lift and shift and incremental shift type of migrationsWorked with AWS Cloud formation, Lambda, SNS Notifications, NAT Gateway, VPC, Redshift, S3Setup CICD Pipelines for the three projects dockerizing the applications, setting up Kubernetes cluster, helm charts and Ansible Deployments

Understand the use cases and stakeholder objectives for Cloud, Automation, CI/CD, etc. and work with engineering to build and optimize solutions that deliver on requirementInvolved in technical discussion with google cloud team on the data and web platform architecture Design.Implemented terraform scripts to set up GKE clusters and provision with streamsets docker containers.Responsible for creating low level design for report generation using cloud functions and big query.Responsible for reviewing the react components and sharing best practices.Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the GCP platform.

Worked with security team to install istio and configured proxy rules for routing connections between microservices.Created E1 Test and E2 Test environments for Unit, sanity, functional and performance testing, replicated all applications in OpenShift.Worked on Openshift platform in managing Docker containers and Kubernetes Clusters and Created Kubernetes clusters using ansible playbooks (launch-instan deploy-docker.yml, deploy-kubernetes.yml) on Exoscale.Managed Openshift master, nodes with upgrades, decommission them from active participation by evacuating the nodes and upgrading them.Used Istio service mesh to implement dynamic service discovery and traffic management including traffic shadowing, traffic splitting, and service-to-service communication relability.Integrated Kubernetes with Hashicorp Vault to inject configurations at runtime for each service using init, config sidecars and persistent volume sharing between app and config containers.Prepared a demo as a part of refactoring monolithic architecture to microservices architecture and deploying separately to PCF and GCP to understand the flexibility and performanceWorked with senior leadership in engineering and operations to develop a center of excellence around Cloud, CI/CD, Release Management, and Automation.

Spearheaded the migration of on-premises infrastructure to AWS, implementing EC2 instances, EBS volumes, S3 buckets, and Elastic Load Balancers (ELB) to ensure scalable and resilient cloud architecture.Utilized CloudFormation for infrastructure as code, enabling efficient provisioning and management of AWS resources.Implemented Auto Scaling to dynamically adjust computing capacity based on demand, optimizing resource utilization and cost efficiency.Established secure networking environments using VPCs, Security Groups, NACLs, and IAM roles, ensuring compliance with industry best practices.Conducted troubleshooting sessions to resolve complex issues, minimizing downtime and improving system reliability.Integrated Redis and RDS for efficient data caching and managed database solutions.Collaborated with development teams to streamline the CI/CD pipeline using Jenkins, Git, and Ansible, reducing deployment time by 30%.

Involved in migrating service from a managed hosting environment to AWS including overall plan, cost analysis, service design, network layout, data migration, automation, deployments and cutover, monitoring, documentation and timeline.• Created AWS Launch configurations based on customized AMI and use this launch configuration to configure auto scaling groups and implemented AWS solutions using EC2, S3, RDS, Dynamo DB, Route53, EBS, Elastic Load Balancer, Auto scaling groups.• Launched and configured Amazon EC2 Cloud Servers using AMI's (Linux/Ubuntu) and configured the servers for specified applications.• Created S3 buckets and maintained and utilized the policy management of S3 buckets and Glacier for storage and backup on AWS.• Worked with the development team to generate deployment profiles (jar, war, ear) using MAVEN Scripts and Jenkins.• Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins along with Shell scripts to automate routine jobs.• Involved in setting up the CI/CD pipeline using Jenkins, Maven, Nexus, GitHub, Ansible, Ansible and AWS.• Configured AWS Identity Access Management (IAM) Group and users for improved login authentication.• Deployed and monitored scalable infrastructure on Amazon Web Services (AWS) & configuration management using Ansible.• Involved in writing various Custom Ansible Playbooks for deployment orchestration and developed Ansible Playbooks to simplify and automate day-to-day server administration tasks.• Created Jenkins Automated Pipeline for CI and CD with Maven Scripts along with GIT Version control.• Used Jenkins AWS Code Deploy plugin to deploy.• Installed, configured and administered Jenkins CI for Gradle and Maven Builds of RDBMS and NoSQL tools such as Dynamo DB.

Develop and implement an automated Linux infrastructure using Ansible.• Worked on vagrant for configure lightweight, reproducible, and portable development environments.• Implemented Ansible Playbooks for Deployment on build on internal Data Centre Servers. I also re-used andmodified the same Ansible Playbooks to create a Deployment directly into Amazon EC2 instances.• Worked on AWS AIM, which included managing application in the cloud and creating EC2 instances• Used Jenkins. Codepipeline Deploy for CI/CD pipelines and chef for server provisioning and infrastructureautomation in an SAAS environment.• Worked on various Docker/Kubernetes components like Docker Engine, Hub, Machine, Compose and DockerRegistry.• Maintained high availability clustered and standalone server environments and refined automation components withscripting and configuration management (Ansible).