SUMMARY

• Overall 7+ years of experience in DevOps, Continuous Integration, Continuous Deployment, Automation, Cloud Management, Build and Release Management and Linux administration.
• Experience in Cloud (Azure, AWS, GCP), DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). I can implement effective strategies for N - Tier application development in both Cloud and On-premises environments. Experience in dealing with Unix/Linux and Windows server administration.
• Expertise in troubleshooting of Kubernetes and docker for application issues.
• 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.
• Build and Deployed batch processing Microservices
• Hands on experience on Backup and restore Azure services and in Design and configure Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Azure cloud services, Blob storage, Active directory, Azure Service Bus, Cosmos DB.
• Expertise in Azure Scalability and Azure Availability - Build VMs availability sets using the Azure portal to provide resiliency for IaaS based solution and Virtual Machine Scale Sets (VMSS) using Azure Resource Manager (ARM) to manage network traffic.
• Experience in creating Task definitions, which specifies the tasks, Resource allocation (Fargate), services and docker image on which application is built for Elastic Container Service and ALB.
• Kubernetes, Amazon EKS, Docker, Amazon ECS, AWS Fargate, Spot Instances, AWS Lambda, Step Functions, AWS App Mesh, AWS Cloud Map, Amazon ECR, AWS X-Ray, Amazon CloudWatch, Istio, Jaeger, Docker Swarm, Consul
• Experience in Design and perform system management, database management, configuration management. deep troubleshooting, preventative and corrective maintenance, performance monitoring and enhancement.
• Familiarity with a broad portfolio of AWS infrastructure resources (EBS, S3, EC2, Elastic IP, Redshift, EMR, Route 53, VPC, Security Groups and Network ACLs)
• Experience in using version controller tools like Subversion (SVN), GIT, IBM Clear case UCM and PVCS.
• Extensively worked on Hudson, Jenkins and Team City for continuous integration and for End to End automation for all build and deployments.
• Good knowledge of Data warehouse concepts
• Deep knowledge of IaaS platform (s) like AWS, Azure, and VMWare.
• Experienced in Provisioning of IAAS & PAAS concepts of cloud computing and Implementing using, Aws, Azure, Google Cloud Platform understanding the principles of (SCM) in Agile, Scrum and Waterfall methodologies.
• Manage the Windows Azure infrastructure for our customers depends on their requirement. Worked on Microsoft AzureStorage - Storage accounts, blob storage, managed and unmanaged storages. Responsible of web application deployments over cloud services (web and worker roles) on Azure, using VS and PowerShell.
• Developed Agile processes using Groovy, JUnit to use continuous integration tools Worked for designing and creating a Micro services delivery platform Initiative.
• Exposed to all aspects of software development life cycle (SDLC) such as Analysis, Planning, Developing, Testing, and Implementing, Post-production analysis of the projects.
• Ability to build deployment, build scripts and automated solutions using various scripting languages such as Shell, PowerShell, Python, Ruby.
• Hands on with IBM Sterling Commerce 8.5 to 9.2.
• Created and wrote shell scripts (Bash), Ruby, Python and PowerShell for automating tasks.
• Wrote Python Code using Ansible Python API to Automate Cloud Deployment Process.
• Good understanding of Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape.
• Experience building infrastructure as code. Ss
• Hands-on experience migrating Oracle, SQL Server instances to AWS RDS (Oracle to Oracle migration, Oracle to Postgres migration, Oracle to MySQL)
• Experience with deploying configuration management and CI/CD services such as (Puppet, Ansible, PowerShell, Jenkins, Vagrant, Docker, JIRA, CloudFormation, Elastic Beanstalk)
• Strong experience with the following technologies: Linux administration, Linux scripting (python, bash), MySQL, Postgres SQL, Microsoft Windows Server OS, Microsoft SQL, Microsoft Active Directory, Microsoft Remote Desktop Services, Citrix XenApp, VMWare virtualization, Backup Software
• Expert level experience with AWS DevOps tools, technologies and APIs associated with IAM, CloudFormation, AMIs, SNS, EC2, EBS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, etc.

PROFESSIONAL EXPERIENCE

Confidential

Sr. DevOps/ Cloud Engineer

Responsibilities:

• Worked in highly collaborative operations team to stream line the process of implementing security Confidential Azure cloud environment and introduced best practices for remediation
• Analyzing the landmark of 150 subscriptions for various business cases to apply organization specific security guidelines
• Gathering the requirements from the clients about the existing applications to apply the security measures
• Understand the latest features like (Azure DevOps, OMS, NSG Rules, etc..,) introduced by Microsoft Azure and utilized it for existing business applications
• Kubernetes architecture: node, kubelet manages pods, their containers, images, volumes, network etc. kube-proxy is a simple network proxy and load balancer responsible for reflecting services on the nodes.
• Configure, monitor and automate Amazon Web Services as well as involved in deploying the content cloud platform on Amazon Web Services using EC2, IAM, S3 and EBS.
• Creating S3 buckets and maintained and utilized the policy management of S3 buckets and Glacier for storage and backup on AWS.
• Good working experience in azure Logic apps, Service Bus, Document DB and SQL Database, Data warehouse.
• AWS EC2/VPC/S3/SQS/SNS based infrastructure automation through Terraform, Ansible, Python, Bash Scripts.
• Involved heavily in setting up the CI/CD pipeline using Jenkins, Maven, Nexus, GitHub, CHEF, Terraform and AWS.
• Created Docker images using a Docker file, worked on Docker container snapshots, removing images and managing Docker volumes.
• Design, build, secure and manage clusters/workloads running on self-managed Kubernetes (Kops), Amazon EKS (Amazon Kubernetes Service), Amazon ECS and AWS Fargate.
• Creating, validating and reviewing solutions and effort estimate of converting existing workloads from classic to ARM based Azure Cloud Environment
• Developed automation system using PowerShell scripts and JSON templates to remediate the Azure services
• Worked on GIT to maintain source code in Git and GitHub repositories
• Created builds and release pipelines in VSTS and done deployments using SPN (secure endpoint connection) for implementing CI/CD.
• Assess Microservices Architecture readiness of existing core services for Confidential.
• Architect Automated Microservices & big data ETL PAAS based on best practices.
• Sell to client the following fundamental technology, culture, and process shifts: DevOps, Agile, Cloud Agnostic Microservices, Continuous Integration and Continuous
• Used tools like Visual Studio Community Edition, Visual Studio Code, Power Shell ISE and SQL Server Management Studio.
• Worked with Agile methodology in XL Deploy and XL Release, CI/CD automation from scratch, Docker, Openshift)
• Built and Implemented complete CI stack to migrate from a Puppet stack in a colo to Terraform with Chef in AWS.
• Wrote shell scripts to handle server processing migrating applications from .Net to Python monitoring applications and server performance with Splunk and Jenkins.
• Worked on Jenkins to implement Continuous Integration and deployment into Tomcat /Web Logic Application Server.
• Developed applications and methods with Python for ETL, writing and reviewing code for server-side Python applications.
• Build and configure a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.
• Had done POC on implementation of continuous deployment pipeline with Jenkins and Jenkins workflow on Kubernetes
• Developed infrastructure with automation in AWS (EC2, Lambda, EBS, RDS, Dynamo, ELB, and BOTO3) with AWS cloud formation templates. Created and designed the AWS Cloud Formation templates to create custom sized VPC, NAT subnets, for deployment of Web applications and database templates
• Assist with configuration of Cloud Compute systems using OpenStack on Ubuntu, collaboration using Orchestration with Keystone, Kubernetes and other functions within Open Stack.
• Responsible for Configuring Kafka Consumer and Producer metrics to visualize the Kafka System performance and monitoring
• Worked for 5 scrum teams (Java, AEM, Jenkins, Ant, Maven, SVN, git, Agile methodology, cucumber scripts, sonar, XL Deploy and XL Release, SharePoint, CI/CD automation from scratch, Docker)
• Experienced in building, deploying and integrating Java-based web applications in a UNIX, including exposure to J2EE/.NET architecture (especially BEA Web Logic, Tomcat and WebSphere).
• Worked on implementing backup methodologies by Power Shell Scripts for Azure Services like Azure SQL Database, Key Vault, Storage blobs, App Services etc.
• Created Azure services using ARM templates (JSON) and ensured no changes in the present infrastructure while doing incremental deployment.
• Configured the XL Deploy and XL Release for all the applications from scratch, once the build package is available, then promoted with simple enable options to deploy in the targeted servers.
• Acted as build and release engineer, deployed the services by VSTS (Azure DevOps) pipeline. Created and Maintained pipelines to manage the IAC for all the applications
• Wrote power shell scripts to create the parameter files automatically for all the services in Azure Resource Manager
• Assigned RBAC Roles using Organization Active Directory Confidential the Subscription Level to grant accesses only to required members based on Least-Access Privileges (we use CWS Groups)

Environment: Azure, PowerShell, XL Release, XL Deploy, Kubernetes, Kafka, GIT, Python, AWS, Redis, VMware, Jenkins, Terraform, Ansible, SVN, Puppet, Open Stack, Docker, Jira, Maven, VSTS, Apache Tomcat Application Server, Salt stack

Confidential

Sr. DevOps/AWS Engineer

Responsibilities:

• Involved in designing and deploying multitude applications utilizing almost all of the AWS stack (Including EC2, Route53, S3, RDS, ECS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS CloudFormation.
• Worked on public cloud infrastructure preferably using AWS Product and Services Ec2, virtual private cloud (VPCs), IAM, Securitygroups, ElasticBeanstalk, S3, VPC, CloudFormation, RDS, Lambda, Redshift, SQS, SNS, cloud watch and Security Services AWS Shield, AWS Trusted Advisor, cloud front, CloudTrail’s.
• Experienced in working AWSkey Management service (KMS) is a service that help to create and control the encryption keys used to encrypt data.
• Worked on AWS Lambda to run the code in response to events, such as changes to data in an Amazon S3 bucket, Amazon DynamoDB table, HTTP requests using AWS API Gateway and invoked the code using API calls made using AWS SDKs.
• Provisioned EC2 instances into AWS by using Terraform scripts from scratch to pull images from Docker and performed AWS S3 buckets creation, policies on IAM role-based policies and customizing the JSON template.
• Used big data technologies like AWS Elastic MapReduce (EMR), AWS Glue, AWS Athena, Apache Spark, Apache Hadoop, PySpark.
• Creating alarms in Cloud watch service for monitoring the servers' performance, CPU Utilization, disk usage etc.
• Provisioned the highly available EC2 Instances using CloudFormation and wrote new plugins to support new functionality in Terraform.
• Worked in an IaaS environment called Terraform, to manage application infrastructures such as storage and networking.
• Setup and build AWS infrastructure likeVPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates.
• Configured Elastic Load Balancers with EC2 Auto scaling groups.
• Worked with my team to provide user stories and use cases of various modules of OpenStack data center deployments.
• Used Kubernetes for creating new Projects, Services for load balancing and adding them to Routes by accessing from outside, created Pods through new application and controlling, scaling and troubleshooting pods through SSH.
• Implementing Continuous Delivery framework using Jenkins in Windows & Linux environment.
• Developed build and deployment scripts using ANT/Maven as build tools and Jenkins as automation tool to move from one environment to other environments.
• Used AWS Lambda as Microservices and API gateway to flexible scaling, Easy Deployment and Resilience.
• Built and Deployed Java/J2EE to a web application server in an Agile continuous integration environment and also automated the whole process.
• Worked on Chef and Ansible for the deployment of servers.
• Used Ansible Playbooks Continuous Delivery Pipeline. Deployed micro services, including provisioning AWS environments using Ansible Playbooks.
• Wrote Python Code using Ansible Python API to Automate Cloud Deployment Process.
• Used Ansible to document all infrastructures into version control
• Worked on container-based technologies like Docker, Kubernetes
• Responsible for configuring the apps to OpenShift v3 and containerization of apps using Docker.
• Familiarity with AWS Redshift, Postgres, MemSQL, and other newer database technologies
• Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js.
• Design and development of the new Technical flow based on JAVA /J2EE technologies.
• Responsible for performing both Staging and Production deployments using deployment preparation and setup deployment PowerShell scripts and via tools which includes like Octopus.
• Deployed code on Web Logic and Tomcat servers for Production, QA, and Development environments.
• Implemented the in-house testing engine to bring out the performance statistics in choosing the NoSQL vendors like Mongo DB and Couch DB.
• Experience in deploying the Cassandra cluster in cloud, on premises, data storage and disaster recovery.
• Implemented Hadoop clusters on processing Big Data pipelines using Amazon EMR and Cloudera whereas it depended on Apache Spark for fast processing and for the integration of APIs. At the end, we managed the above resources using Apache Mesos.
• Integrated Jenkins with various DevOps tools such as Nexus, Sonarqube, Chef etc.
• Getting the list of issues from the components (project, module, file etc.) with the help of Sonarqube.
• Performed configurations from Jenkins to nexus.
• Performed configurations from Apache tomcat and web logic to Jenkins.

Environmen t: Aws, Azure, Redshift, GIT, Hudson, Jenkins, TFS, WebSphere, WebLogic, JBOSS, Apache, TOM CAT web services, Docker, EC2, S3, RDS, EBS, auto scaling, Opsworks, Kubernetes, Ansible, Puppet, Nagios, Jira, VMware Bash, Python and Ruby, Unix/Linux, Windows, RHEL 4/5/6, CentOS .CentOS,