SUMMARY:

• DevOps & Cloud Engineer with 10 years’ experience in Servers, Linux/Unix, CentOS and AWS cloud, clustering. Looking for a challenging position in the organization where my knowledge would make a significant contribution to the company’s growth, which would enhance my skills.
• Maintaining highly reliable 24x7x365 Linux production servers for internal, global and AWS EC2 instances.
• Maintaining EBS snapshots and Instance store volumes for backups and creating
• Managing Nagios and Cloudwatch for monitor critical system health, performance, security, disk usage...etc.
• Expertise in creating and maintaining S3 buckets with versioning, control restricted access to buckets with permissions, creating lifecycle rules to move buckets to Glacier for infrequently accessed data.
• Managing users and groups and assign permissions IAM to allow and deny AWS resources by attaching policies by creating access keys, passwords and MFA devices and temporary security credentials.
• Managing LDAP users accounts.
• Installation, support of applications and new projects for specific business needs.
• Installing Amazon Web Services EC2 Instance with Tomcat, PHP, MySQL and Continuous integration with Jenkins.
• Setting up JMeter with Java in EC2 instance for Performance testing in clod for QA Engineers.
• Expertise in configuring ELB(Elastic Load Balancer) and Auto scaling once the server reaches maximum CPU utilization and creating AMI(Amazon Machine Image).
• Installation, configuration and maintenance of Linux Servers such as DHCP, DNS, FTP, NFS, SFTP, SAMBA, HTTPD, APACHE, Kerberos, and NTLM...etc.
• Maintain internal data center and AWS servers for 100% uptime.
• Troubleshooting to isolate and diagnose servers and storage’s hardware problems.
• Costing, Design, building and managing the infrastructure environments needed for the projects in the AWS hosting platform.
• Successfully planned and executed the migration for complex applications and infrastructure services.
• Experience with Amazon Workspaces and Workspaces Application Management (WAM)
• Expertise in Calculating Multi - Tenancy Costs in SaaS Environments.
• Actively monitor, research and analyze ways in which the services in AWS can be improved.
• Maintain system availability as per multiple Service Level Agreements (SLA).
• Produce monthly reports activity where needed and explain any abnormal system performance.
• Assist appropriate teams in all phases of Production implementations and ensure that all documentation for the systems (build books, network diagrams) is updated after changes.
• Make recommendations to improve health of the system where necessary.
• Participate in various projects and work orders as assigned and complete assigned tasks on time.
• Provide on-call support as scheduled and also provide support to other on-call support people for critical incident where expertise help would be required.
• Provide support to the technical escalation from the team and Coordinate service calls and requests with team members where necessary.
• Good hands-on exposure with ETL tools.
• Coordinate and implement change records because of trouble tickets and 2nd /3rd level in-depth support for hardware and OS diagnostics.
• Hands-on experience working with agile methodologies.
• Manage and configure AWS services as per the business needs (ELB, SNS, EC2, Route53, S3, RDS, CloudWatch, IAM, SNS, VPC,SES, Opswork, Lambda, DynamoDB)

PROFESSIONAL EXPERIENCE:

Confidential, Plymouth Meeting, PA

AWS/ Azure Cloud Engineer

Responsibilities:

• Expertise in maintaining AWS IAM Role/Policy based access control of services for users and groups.
• Good hands-on experience in building customized polices to restrict access.
• Responsible for maintaining AWS Security auditing and best practices.
• Responsible for building AWS Lambda functions using python Boto3 for Access keys rotation.
• Good expertise working with AWS Multi Factor Authentication and setting up password policies for all users in AWS accounts and lock unused accounts.
• Configured SNS notifications to secure accessing root account credentials.
• Responsible for cross account migration of EC2 snapshots and AWS Redshift cluster snapshots.
• Responsible for copying Redshift cluster and EC2 snapshots to different regions.
• Good knowledge working with highly available active directory in the AWS Cloud.
• Worked with cloud watch events to trigger lambda function and configured SNS notifications.
• Good hands-on experience working with maintaining AWS IAM best practices.
• Worked with Azure Active Directory and IAM.
• Worked on Azure AD, Azure AD Connect, and Federated SSO to control access to various cloud services and components.
• Worked with ADFS, Microsoft MFA and AWS MFA.
• Provided cost estimates and monthly usage reports to clients on usage of particular service and on services usage on regions and cresting cost model for licensing.
• Good hands-on experience working with Azure RBAC(Role Based Access Policy).
• Worked on AWS s3, Glacier and Glacier Vault for archival file storage.
• Worked on Azure Blob storage and good knowledge on Queue storage and disk storage.
• Worked with AWS Organizations to centrally manage policies across multiple AWS accounts and control access to AWS services.
• Worked with managing user identities and access to protect against advanced threats across devices, data, apps, and infrastructure.
• Build Terraform scripts to build completed environment like AWS VPC, Security Groups and subnets.
• Worked with creating crawlers in AWS Glue and configuring AWS Athena with Tableau to access objects in s3 and create tables.
• Expertise in configuring ELB(Elastic Load Balancer) and Auto scaling once the server reaches maximum CPU utilization and creating AMI (Amazon Machine Image).
• Worked with multiple end clients on troubleshooting network issues and configuring inbound and outbound security groups.
• Good hands-on experience working with s3 tools like cloudberry, s3 Browser and FastGlacier.
• Experience working with objects moving to Glacier and retrieval from Glacier.
• Good hand-on experience working with AWS billing and providing cost estimates for environments to end clients.
• Good knowledge on AWS CodeCommit, CodeBuild, CodeDeploy and Cloud9.

Environment: AWS EC2, S3, IAM, Cloud Watch, Cloud Trail, SNS, WAF, Vault, Lambda, JSON, Terraform, Redshift, VPC, Security Groups, AWS Glue, AWS Billing, Azure AD, Azure AD Connect, Cost Explorer,Azure MFA, SSO, ADFS, CloudFormation, Cloudberry, FastGlacier, S3 Browser, Hashi corp Vault, AWS CLI, Linux, Windows, Putty, CodeCommit, CodeBuild, CodeDeploy, Cloud9. AWS Athena. AWS Directory Service, Azure AD, Azure IAM, Tableau, AWS Organizations.

Confidential, Reston, VA

AWS Cloud Engineer

Responsibilities:

• Created Cloud Formation template stacks to automate for building new VPCs using JSON files.
• Build scripts on AWS cloud for scheduling EC2 auto scaling load balancer with python sdk.
• Created and managed cloud VMs with AWS EC2 Command line clients and AWS management console.
• Experience in creating alarms and notifications for EC2, Lambda instances using Cloud Watch.
• Worked on AWS cloud watch for monitoring the application infrastructure and used AWS email services for notifying.
• Migrated applications from internal data center to AWS.
• Worked with cloud providers and API's for Amazon (AWS) EC2, S3, VPC with CloudSigma (EU) and GFS storage.
• Used AWS Command line client(CLI) and management console to interact with AWS resources and APIs.
• Multi-Tenancy Storage techniques with Amazon DynamoDB and Lambda.
• Monitoring of network services (SMTP, POP3, HTTP, NNTP, ICMP, SNMP, FTP, SSH) using Nagios.
• Integration of Automated Build with Deployment Pipeline. Currently installed Chef Server and clients to pick up the Build from Jenkins repository and deploy in target environments (Integration, QA, and Production).
• Good hands-on experience with configuring Elastic Search with built-in integration tools like Kibana and Logstash.
• Automated the cloud deployments using chef, python (boto & fabric) and AWS Cloud Formation Templates.
• Create Chef Automation tools and builds, and do an overall process improvement to any manual processes.
• Implementing a Continuous Delivery framework using Teamcity, Puppet, Maven & Nexus in Linux environment.
• Integrated Maven, Sonarqube, Junit with Teamcity.
• Good hands-on exposure with building CI/CD pipeline using BitBucket and Bamboo.
• Expertise in the Jenkins plugin management areas and implemented several CI/CD plugin like AWS EC2, build Pipeline, Docker, git, and Pipeline plugins.
• Implemented Docker based Continues Integration and Deployment framework. Deploying and maintaining Micro services using Docker.
• Configured SNS for S3 and EC2 instances for notifications.
• Configured auto scaling in customized VPC, based on elastic load balancer (ELB) traffic and using ELB health check in order to trigger auto scaling actions.

Environment: Jenkins, S3, Autoscaling, EBS,,ELB, RDS, Maven,GIT, Apache Tomcat, JMeter, SSO, IAM, CodeCommit, CodeBuild, CodeDeploy, Opswork, Lambda,Node.js Elastic Beanstalk, Cloudwatch, Postgess, VPN, VPC, Docker, Chef, CloudFormation, EMR, Bamboo, Bitbucket, Github, Sonarqube, Rundeck, Selenium, GOCD, Lambda, Confluence, Jira, Chef, Linux, Ubuntu, CentOS, AWS EC2, S3, CloudWatch, IAM TOAD, TIBCO, Informatica.

Confidential, Portland, Oregon

AWS Cloud Engineer

Responsibilities:

• Creating and maintaining S3 buckets with versioning, control restricted access to buckets with permissions, creating lifecycle rules to move buckets to Glacier for infrequently accessed data.
• Managing users and groups and assign permissions IAM to allow and deny AWS resources by attaching policies by creating access keys, passwords and MFA devices and temporary security credentials.
• Managing LDAP users accounts.
• Installing Amazon Web Services EC2 Instance with Tomcat, PHP, MySQL and Continuous integration with Jenkins.
• Setting up JMeter with Java in Ec2 instance for Performance testing in cloud for QA Engineers.
• Expertise in configuring ELB(Elastic Load Balancer) and Auto scaling once the server reaches maximum CPU utilization and creating AMI(Amazon Machine Image).
• Expertise in the Jenkins plugin management areas and implemented several CI/CD plugin like AWS EC2, build Pipeline, Docker, git, and Pipeline plugins.
• Implemented Docker based Continues Integration and Deployment framework. Deploying and maintaining Micro services using Docker.
• Configured SNS for S3 and EC2 instances for notifications.
• Configured auto scaling in customized VPC, based on elastic load balancer (ELB) traffic and using ELB health check in order to trigger auto scaling actions.
• Deployed applications using Codecommit, CodeBuild, CodeDeply services and configured auto back of very version in S3.
• Configured REST API’s with JMeter in EC2 instances and tested response data in API end-points and through put of the API’s to serve requests.
• Configuring VPN connection for On-premises data center to cloud environment.

Environment: Jenkins, S3, Autoscaling, EBS,,ELB, RDS, Maven,GIT, Apache Tomcat, JMeter, EC2, SSO, IAM,CodeCommit, CodeBuild, CodeDeploy, Opswork, Lambda, VPN, VPC, REST API, Docker, TCP/IP,CentOS, Ubuntu, DNS, Route53,Jira, Node.js,java, Puppet, Python and Cloud Formation.

Confidential, Palo Alto, CA

DevOps & Security Engineer

Responsibilities:

• Created Cloud Formation template stacks to automate for building new VPCs using JSON files.
• Build scripts on AWS cloud for scheduling EC2 auto scaling load balancer with python sdk.
• Created and managed cloud VMs with AWS EC2 Command line clients and AWS management console.
• Experience in creating alarms and notifications for EC2, Lambda instances using Cloud Watch.
• Worked on AWS cloud watch for monitoring the application infrastructure and used AWS email services for notifying.
• Migrated applications from internal data center to AWS.
• Worked with cloud providers and API's for Amazon (AWS) EC2, S3, VPC with CloudSigma (EU) and GFS storage.
• Used AWS Command line client(CLI) and management console to interact with AWS resources and APIs.
• Monitoring of network services (SMTP, POP3, HTTP, NNTP, ICMP, SNMP, FTP, SSH) using Nagios.
• Integration of Automated Build with Deployment Pipeline. Currently installed Chef Server and clients to pick up the Build from Jenkins repository and deploy in target environments (Integration, QA, and Production).
• Automated the cloud deployments using chef, python (boto & fabric) and AWS Cloud Formation Templates.
• Create Chef Automation tools and builds, and do an overall process improvement to any manual processes.
• Implementing a Continuous Delivery framework using Teamcity, Puppet, Maven & Nexus in Linux environment.
• Integrated Maven, Sonarqube, Junit with Teamcity.
• Developed and tested front-end applications with browser testing and debugging.
• Implemented the setup for Master slave architecture to improve the Performance of Jenkins.
• Maintaining clusters and configuring cron jobs in Kubernetes.
• Migrating Dockerfile into an Ansible Container project.
• Installed Splunk forwarder in AWS EC2 intances.
• Maintaining artifact repositories such as Nexus.
• Good Knowledge on Spark framework on both batch and real-time data processing.
• Experience in installation, configuration, support and management of a Hadoop Cluster.

Environment: Chef, AWS S3, EC2, Autoscaling, EBS, RDS,VPC, ANT, Jenkins, Maven, Apache Tomcat, Shell, Perl, Nexus, Junit, Python, Gradle, Apache SOLR, Bamboo, HTML,Java,Splunk,Ansible,Salt, Nangios, Hadoop, Spark, Nexus,Kubernetes.

Confidential, Mountain View, CA

Build and Release / Devops Engineer

Responsibilities:

• Developed and supported the Configuration and Change Management Processes and procedures.
• Performed all necessary day-to-day Subversion support for different projects.
• Responsible for design and maintenance of the Subversion Repositories, views, and the access control strategies.
• Constructed the puppet modules for continuous deployment and worked on Jenkins for continuous integration.
• Developed build scripts using ANT and MAVEN as the build tools for the creation of build artifacts like WAR or EAR files.
• Automated SVN based release management process including monitoring changes between releases.
• Developed and maintained UNIX/PowerShell scripts for build and release tasks.
• Converted old builds using MAVEN to ANT and XML.
• Modified the existing ANT scripts to suit the new project requirements.
• Created and executes NoSQL queries to make sure the transactions are entered in database as expected.
• Involved In build and Deployment of various projects using Web Sphere Admin console and script files.
• Coordinated with developers, Business Analyst and Mangers to make sure that code is deployed in the Production environment.
• Managed builds and release, related tools and communication needs for a development team of up to 40 Contributors in two geographic locations.
• Provided release updates to the management team and business liaison leads.

Environment: SVN, CVS, UNIX, PERL, ANT, XML, WebSphere, Splunk,Chef, Jenkins, SQLserver, puppet.

Confidential

Linux Administrator

Responsibilities:

• Developed and used essential tools for handling files, directories, command-line environments, and documentation
• Operated running systems, including booting into different run levels, identifying processes, starting and stopping virtual machines, and controlling services
• Configuring local storage using partitions and logical volumes
• Created and configured file systems and file system attributes, such as permissions, encryption, access control lists, and network file systems
• Deployed, configured, and maintain systems, including software installation, update, and core services
• Managed users and groups, including use of a centralized directory for authentication
• Managed security, including basic firewall and SELinux configuration

Environment: LVM &Swap partitions, SELinux, YUM Repository, NFS, LDAP, Crontab, ACL.

Confidential

Cloud QA Engineer

Responsibilities:

• Automated all web services with complex assertions using JMeter and SoapUI .
• Developed custom JMeter plug-in for testing HMAC authentication.
• Created single JMeter script that validates api’s in all regions and in all environments (Dev, Staging and production)
• Authored test plan and test cases.
• Performed various kinds of manual testing, like Smoke testing, Functional testing, Regression testing and Integration Testing.
• Validated data by comparing data from db with feed data in file system.
• Wrote SQL queries to pull data for testing purpose.
• Interacted with Project Leads, Developers and Project Manager on various things i.e. requirements, defects, execution and reports.
• Executed all API’s in JMeter and reported defects and prioritized in Fogbugz, Jira or Zendesk tools.
• Performed Component Testing, Capacity testing and Endurance testing to scale the system from thousands of users to 100+M users.

Environment: Robotium,Java, JMeter, SoapUI, Python, XML, MySQL, TOMCAT, Fogbugz, Zendesk, Jira.