SUMMARY:

• A Cloud enthusiastic team player having around 7+ years of Experience in IT industry as a Cloud DevOps Engineer wif proven expertise in Automation, Build/Release Engineering and Software development involving cloud computing platforms like Amazon Web Services (AWS), Azure and Google Cloud (GCP).
• Participated in all stages of Software Development Lifecycle including architecture, design, implementation, and unit testing. In - depth knowledge of DevOps management methodologies and production deployment Configurations.
• Experience wif AWS Cloud platform and its features which includes VPC, EBS, dynamo DB(DDB), AWS Lambda, Elastic Beanstalk, AMI, SNS, RDS, Cloud Watch, Route53, ACR, ECS, EKS, SQS, Cloud Front (CDN), Security Groups, and Terraform.
• Hands on experience in AWS provisioning and good knowledge of AWS services like EC2, S3, Glacier, ELB, RDS, Redshift, IAM, Route 53, VPC, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation.
• Implemented microservices, application development, and migration using AWS/Azure services such as Azure DevOps, Kubernetes Service (AKS), Container Registry, Cosmos DB, and Grafana, Azure pipelines, Monitor, RBAC, AWS Kubernetes EKS and Kubernetes API to run workloads on EKS Clusters.
• Experience in dealing wif Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling, and Traffic Manager.
• Expertise in Architecting and Implementing Azure Service Offering, such as Azure cloud services, Azure storage, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor, and Azure Service Bus.
• Hands on experience on Google Cloud Platform (GCP) services like Kubernetes Engine, Compute Engine, App engine, Cloud functions, Cloud Run, Cloud KMS, Datastore, Fire store, Storage, Cloud SQL, Spanner, Pub

Confidential

Sr. Cloud/DevOps Engineer

Responsibilities:

• Implemented AWS solutions using EC2, S3, RDS, Route 53, SNS, Cloud front, EBS, Elastic Load Balancer, SQS, Auto scaling groups, Optimized volumes and EC2 instances using API's. Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management. Involved in performing application deployment to AWS Elastic Bean Stack environment. Configured & deployed Java applications on Amazon Web Services (AWS) for a multitude of applications utilizing the AWS stack, cloud formation.
• Created environment on AWS platform, AWS Hadoop EMR cluster, Kafka Cluster, Cassandra Clusters and implemented system alerts on Data Dog. Created AWS RDS and DynamoDB databases, performed monitoring and restoring of AWS RDS and DynamoDB. Performed migration of Microsoft SQL server, PostgreSQL to RDS and MongoDB, Cassandra to DynamoDB. Worked in highly collaborative operations team to streamline the process of implementing security Confidential Azure Cloud environment and introduced best practices for remediation.
• Built Azure V2 network infrastructure including Site to Site connection through Meraki VPN/Firewall appliance, wif Point - To Site (V1 network connection to V2 Network) for migration VMs from classic Portal to Azure Portal. Migrated SQL Server 2008 database to Windows Azure SQL Database and updating the Connection Strings based on Azure Data Migration services and configured the Azure services. Experience in assigning the Azure services on locations specific to integrate wif web-apps and key-vaults. Developed automation system using PowerShell scripts and JSON templates to remediate the Azure services. Experience wif container-based deployments using Docker, working wif Docker images, Docker Hub and Docker-registries and Kubernetes. Worked on deployment automation of all the micro services to pull image from the private Docker registry and deploy to Docker swarm cluster using Ansible.
• Virtualized the servers using Docker for the test environments and dev-environments needs, also automation using Docker containers. Deployment of Cloud service including Jenkins and Nexus on Docker using Terraform. Installing and configuring the applications like docker tool and Kubernetes for the orchestration purpose. Experience on Deployment Automation & Containerization (Docker, Kubernetes). Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers. Changing the AWS infrastructure Elastic Beanstalk to Docker wif Kubernete

Confidential

DevOps/Cloud Engineer

Responsibilities:

• Experience in Architecting and securing the Infrastructure on AWS using IAM, KMS, EMR, Cognito, API Gateway, Cloud Trail, Cloud Watch, Amazon Simple Queue Service (Amazon SQS), Config, AWS Kinesis, Lambda, NACL, Elastic Beanstalk, Redshift and CloudFormation.
• Working wif AWS services such as EC2, VPC, RDS, CloudWatch, CloudFront, Route53 etc. Creating S3 buckets and managing policies for S3 buckets and Utilized S3 bucket and Glacier for storage and backup on AWS. Leveraged AWS cloud services such as EC2, auto - scaling and VPC to build secure, highly scalable, and flexible systems that handled expected and unexpected load bursts. Involved in performing application deployment to AWS Elastic Bean Stack environment. Configured & deployed Java applications on Amazon Web Services (AWS) for a multitude of applications utilizing the AWS stack.
• Extensive Knowledge and hands-on experience implementing PaaS, IaaS, SaaS style delivery models inside the Enterprise (Data center) and in Public Clouds using like AWS, Google Cloud, and Kubernetes etc. Build servers using GCP, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection. Set up a GCP Firewall rules in order to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency. Worked on GCP CDN (content delivery network) to deliver contents from GCP cache locations by drastically improving user experience and latency. Hybrid Environment between Azure/GCP environment. Create clusters in Google Cloud and manage the clusters using
• Kubernetes and deployed code to Google Cloud, created new namespaces, created Docker images, and pushing them to container registry of Google Cloud. Set-up databases in GCP using RDS, storage using S3 bucket and configuring instance backups to S3 bucket. prototype CI/CD system wif GitLab on
• GKE utilizing Kubernetes and Docker for the runtime environment for the CI/CD systems to build and test and deploy. Working knowledge of Docker Hub, Docker Container network, creating Image files primarily for middleware installations & domain configurations. Evaluated Kubernetes for Docker Container
• Orchestration. Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes. Deployed spring boot applications using Docker and Kubernetes. Experi

Confidential

DevOps/Cloud Engineer

Responsibilities:

• Worked on Azure Site Recovery and Azure Backup - Deployed Instances on Azure environments and in Data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.
• Created recommendations on how to duplicate a subset of on-premises machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. Deployed Azure SQL DB wif GEO Replication, Azure SQL DB Sync to standby database in another region & fail over configuration.
• Configured Azure Multi-Factor Authentication (MFA) as a part of Azure AD Premium to securely authenticate users and worked on creating custom Azure templates for quick deployments and advanced PowerShell scripting. Worked on Serverless services, created, and configured HTTP Triggers in the Azure
• Functions wif application insights for monitoring and performing load testing on the applications using the Visual Studio Team Services (VSTS) also called as Azure DevOps Services. Created Azure Automation Assets, Graphical runbook, PowerShell runbook that will automate specific tasks, deployed Azure
• AD Connect, configuring Active Directory Federation Service (AD FS) authentication flow. Experience in configuration management tool such as Ansible, Chef, and Puppet.
• Assisted in design and deployment of Cassandra rings into AWS. Multi-AZ and inside existing layered VPC network. Using Chef and AWS allowed me to reduce costs for the department and eliminate unwarranted resources.
• Automated provisioning of cloud infrastructure wif Chef. Performed SVN to GIT/Bit Bucket migration and managed branching strategies using GIT flow workflow. Managed User access control, Triggers, workflows, hooks, security, and repository control in Bit Bucket. Created Clusters using Kubernetes and worked on creating many pods, replication controllers, replica sets, services, deployments, labels, health checks and ingress by writing Yaml files.
• Converting Existing Terraform modules that had version conflicts to utilize cloud formation during Terraform deployments toenable more control or missing capabilities.
• Working knowledge of Docker Hub, Docker Container network, creating Image files primarily for middleware installations & domain configurations. Evaluated Kubernetes for Docker Container Orchestration. Configured and integrated GIT into the continuous integration (CI) en

Confidential

Systems Administrator / AWS Admin

Responsibilities:

• Created and Configured Red Hat, Ubuntu, CentOS, Solaris Virtual Machines in AWS using EC2, Elastic IP, VPC, Subnets, Route Tables, NAT Gateway. Utilized AWS CLI to automate backups of ephemeral data - stores to S3 buckets, EBS and create AMIs for mission-critical production servers as backups and used AWS.
• Create and maintain highly scalable and fault tolerant multi-tier AWS environment spanning across multiple availability zones using Terraform and CloudFormation. Worked on Amazon's email sending and receiving services (SES) and load balancer in AWS. Build servers using AWS: Importing volumes, launching EC2, creating security groups, auto-scaling, load balancers, Route 53, SES and SNS in the defined virtual private connection.
• Prepared capacity and architecture plan to create the Azure environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases. Configured Azure Traffic Manager to build routing for user traffic Infrastructure Migrations
• Drive Operational efforts to migrate all legacy services to a fully virtualized Infrastructure. Implemented Chef Knife and Cookbooks for Deployment on internal Data Centre Servers. Also re-used and modified same Chef Recipes to create a Deployment directly into EC2 instances.
• Created and maintained Puppet Modules to manage configurations and automate installation process. Deployed Puppet and Puppet DB for configuration management to existing infrastructure. Maintained Load balancing, High availability, Failover functionality and Disaster recovery included changing IP address of the web and app server machines, which caused change in the virtual host and http transport. Managed and monitored the server and network infrastructure using AppDynamics, Splunk. Performed system administration and operations tasks using Jenkins, AppDynamics. Experience in monitoring servers wif NRPE plugin in Nagios tool and, Nagios halps to trigger the event handlers to send a notification and act according.

Environment: AWS, Azure, ELB, Shell Scripts, Bitbucket, Python, Puppet, Jenkins, Apache, Chef, Nginx, Elasticsearch, RedHat, Ubuntu, Splunk, Nagios, php, Terraform.