SUMMARY:

• Over 8+ years of experience in the IT industry wif teams of up to 17 people. A proven track record implementing a large corporate Cloud Infrastructure wif over 1000 vendor and customer facing applications and integrating large scale eCommerce solutions to an ERP. Thrives in a fast pasted creative and entrepreneurial environment.
• AWS Certified Professional wif 8+ years of experience in the IT industry comprising Linux Administration, build and release management and Containerization, Cloud Computing which includes AWS.
• Worked on Amazon Web Services (AWS) Cloud services like EC2, S3, VPC, EBS, RDS, IAM, DMS, Amazon Glacier, Route 53, Redshift, CloudWatch, SNS, SQS, Auto Scaling, Cloud Formation, Lambda, API Gateway, Step Functions, IOT, CloudTrail, Elastic Load Balancing.
• Worked wif DevOps related automation tools which include, application configuration management (Ansible) and container management tools (Docker, AWS ECS).
• Experience in Software Development Life Cycle (SDLC) wif Agile/SCRUM methodologies, Software Configuration Management. and Test - Driven Development.
• Handled operations for AWS cloud resources including launching, maintaining, and troubleshooting EC2 instances, S3 buckets, Virtual Private Clouds (VPC), Elastic Load Balancers (ELB) and Relational Database Services (RDS).
• Experience in Installing, Configuring and Administration of Windows, Red Hat Linux, Unix, CentOS, and VMware Environments
• Experienced in designing cloud models for Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS).
• Experience wif EC2 Container Service (ECS) and Docker engine to deploy the micro services-oriented environments for scalable applications
• Good experience developing and testing security architectures of cloud-based systems.
• Experience in provisioning and Automation servers on Public Cloud like AWS and Kubernetes
• Expertise in implementing merging, branching strategies, defect fixes and configuration of version control tools like Subversion (SVN), GIT, Bit Bucket and Git Hub.
• Expertise in build tools like Maven and ANT for the building of deployable artifacts like JAR, WAR, EAR from source code and plugin management.
• Skilled in Kubernetes to orchestrate deployment, scaling, management of Docker containers.
• Expertise in monitoring System/Application Logs of server using Data Dog, Splunk, Amazon Cloud Watch and Nagios to detect production issues.
• Experience in Veritas Cluster Server and Red Hat Cluster Server for failover & redundancy.
• Experience wif writing and deploying Cloud Formation, terraform templates in Cloud deployment to spin up resources like cloud virtual network, compute engines in public and private subnets.
• Working knowledge of Windows Azure Virtual Networks, Virtual Machines, Resource Groups, Express Route, VPN, Load Balancing and Auto Scaling.
• Experienced in the maintenance of Load Balancing the disaster recovery wif the change in the IP addresses, virtual host machines, and HTTP configurations.
• Experience in planning, strategy, design, migration, and implementation of cloud-based platforms/applications using AWS, Azure wif multiple deployment models (IaaS, SaaS, PaaS) as well as private, public and hybrid models
• Utilized Kubernetes for the runtime environment of the CI/CD system to test deploy.
• Design and implementation of Azure and online Directory Synchronization for office 365.
• Experience wif Server Automation and Configuration Management Tools like Ansible.
• Experience in Managing/Tracking the defects status by using JIRA tool and planning & resolving the issues as per SLA.
• Experience wif Windows patch baseline management and Linux Package management and Linux Patch management.
• Technical Lead for Scada, site assessments and recommendations and implementation of IaaS. Sr Analyst for estimation and provisioning of SCADA systems including ROI.
• Lead the practice of Creative Process Modeling and DevOps.
• Experienced as a System Administrator and Production Support of various applications on Red Hat Linux and Windows environment.
• Experienced in First tier escalation for critical system issues and user support via 24x7 on-call rotation.

TECHNICAL SKILLS:

Operating Systems: RHEL/CentOS 5.x/6.x/7.x, Ubuntu/Debian/Fedora, Sun Solaris 7/8/9/10, Windows Server 2003/2008/12

DevOps Tools: Ansible, Chef, Docker, Ant, AppDynamics, Confidential Udeploy, Maven, Nexus, Bamboo, Kubernetes, Jenkins

Networking: TCP/IP, NIS, NFS, FTP, DNS, DHCP, Samba, Apache, SMTP, SSH, IP-Tables

WEB Technologies: Tomcat, APACHE 2.x, 3.x, JBoss, Web Logic (8/9/10) & Web Sphere 4.0/5.0

Programming, Scripting Language & Databases: RDBMS, MySQL, Oracle, Sybase, MSSQL, C, UNIX Bash, PowerShell & Perl Scripting, Python, Ruby, HTML, VB

Backup Management: Veritas NetBackup 4.x/5.x/6.x, Ufsdump, Ufsrestore, TAR, cpio, dd, Tivoli, Symantec NetBackup 7.x

Third Party Software: VERITAS Volume Manager, VERITAS Cluster Service (VCS), HP Service Guard, Sun Cluster, EMC Storage, RAID Technologies, SSL, Puppet, GIT, Bitbucket, JIRA, SVN. Gerrit

Monitoring Tools: Splunk, New Relic, Nagios, Datadog

Cloud: AWS (EC2, IAM, S3, RDB, ELB, EBS, VPC, Auto Scaling, SNS, SQS, route 53, SWF, Cloud Watch, Cloud Trail)

PROFESSIONAL EXPERIENCE:

Confidential, Denver, CO

Sr. AWS/DevOps Engineer

Responsibilities:

• Performed application server builds in EC2 environment and monitoring them using cloud watch.
• Creating Private networks and subnetworks and bringing instances under them based on the requirement.
• Creating snapshots and Amazon machine images (AMIs) of the instances for backup and creating clone instances.
• Implemented multi-tier application provisioning in Amazon cloud Services, integrating it wif Puppet.
• Developed a continuous deployment pipeline using Jenkins, Shell Scripts using Jenkins AWS Code Deploy plug-in to deploy to AWS.
• Automated deployment of builds to different environments using Jenkins.
• Worked on Amazon Web Services (AWS) Cloud services like EC2, S3, VPC, EBS, RDS, IAM, DMS, Amazon Glacier, Route 53, Redshift, CloudWatch, SNS, SQS.
• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Operated wif Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation as well as used for server provisioning.
• Worked on Docker container snapshots, attaching to a running container, removing images, managing director structures, and managing containers in AWS ECS.
• Templated AWS Infrastructure as code using Terraform to build staging and production environments.
• Infrastructure as code wif Terraform, Packer, CloudFormation, Server Spec and Ansible to manage AWS infrastructure.
• Deployed application which is containerized usingDockeronto aKubernetescluster which is managed by Amazon Elastic Container Service for Kubernetes (EKS).
• Configured ‘Kubectl’ to interact wif Kubernetes infrastructure and usedAWS Cloud Formation Templates (CFT)to launch a cluster of worker nodes on Amazon EC2 instances.
• Configured the AWS ALB to route the traffic from target group to right targets on AWS ECS.
• Managed deployments in EKSmanaged Kubernetes, setup multi nodes cluster and deployed containerized applications.
• Implemented aCI/CDpipeline wifDocker,Jenkins,andGitHubby virtualizing the servers using Docker for the Dev and Test environments by achieving needs through configuring automation using Containerization.
• Scripted Kubernetes application stack in Yaml and deployed applications using EKS in AWS.
• Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.
• Experience in configuring the monitoring and alerting tools according to the requirement like AWS CloudWatch, AWS Cloud Trail, Dynatrace Splunk Enterprise, SNMP monitoring for the VPN connections.

Confidential, Reston, VA

Sr. Cloud Engineer

Responsibilities:

• Worked extensively through Agile development methodology by dividing the application into iterations.
• Worked on configuring cross-account deployments using AWS Code Pipeline, Code Build and Code Deploy by creating Cross-Account Policies & Roles on IAM.
• Used API Gateway to establish communication from JIRA server hosted On-Premises to trigger AWS Lambda functions and automated creation of IAM Roles.
• Wrote various Lambda services for automating the functionality on the Cloud.
• Used AWS Route 53 for configuring the High-Availability and Disaster recovery to make the environment up and running in case of any unexpected disaster.
• Used the AWS-CLI to suspend an AWS Lambda function processing an Amazon Kinesis stream, then resume it again and automate the cloud.
• Leveraged Cloud Formation services to allow CI/CD which enables the Client to has zero downtime deployments of their code.
• Managed IAM roles through automation using Terraform to integrate into infrastructure.
• Implemented Terraform modules for deployment of apps across multiple cloud accounts.
• Deployed Docker services on the ECS cluster for the entire Microservices stack and monitored these services.
• Maintained the Selenium and JAVA automation code and resources in source controls like SVN and GIT over the time for improvements and new features.
• Configured RDS instances usingCloud FormationandTerraformand used Terraform to map more complex dependencies and identified network issue.
• Deployed services using Docker containers by leveraging ECS and ECR services to do the auto scaling on peak utilization.
• Set up Auto Scaling Groups based on memory and CPU to adapt to unforeseen spikes wifout having an outage or needing manual intervention.
• Created new Logical Volume and Extend Logical Volume, Disk Partitioning, create swap file on runtime, creating RAID.
• Created AWS S3 buckets, performed folder management in each bucket, also managed Cloud trail logs and objects wifin each bucket.
• BuildJenkinsjobs to create AWS infrastructure fromGitHubrepos containing Terraform code and administered/engineered Jenkins for managing weekly builds.
• SettingGitLabrepository and Runner for build automation.
• Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, and Auto scaling groups, Optimized volumes and EC2 instances.
• Managed Amazon Web Services like EC2, bit bucket, RDS, EBS, ELB, Auto-Scaling, AMI, IAM through AWS Console and API Integration wif Puppet Code.
• Worked wif the Automation Team to Automate the Windows and Linux Deployments.
• Worked on Docker container snapshots, attaching to a running container, removing images, managing director structures and containers.
• Installed CloudWatch agent on EC2 servers and used SNS service to notify Slack channel for server downtime or utilization increases more the 80 percent CPU.
• Implemented scheduled downtime for non-prod servers for optimizing AWS pricing.
• Created proper documentation for new server setups and existing servers.
• Created and wrote Azure Resource Manager Templates in JSON editor.

Confidential, Bloomington, IL

Sr. DevOps Engineer

Responsibilities:

• Involved in architecture of DevOps platform and cloud solutions and participated in various discussions.
• Configured Red Hat Linux cluster 6x version and configuring the cluster resources.
• Added storage to the cluster disks and increasing & decreasing the file system in RHEL.
• Setup Internet load balancing on Multiple ISP, Firewall, Port forwarding, IP routing using IP Tables.
• Used Cloud Watch logs to move application logs to S3 and create alarms based on a few exceptions raised by applications.
• Configured AWS IAM and Security Group in Public and Private Subnets in VPC.
• Created AWS Route53 to route traffic between different regions.
• Configured Cloud Trail for continuous monitoring, logs for instances and services in cloud.
• Created S3 bucket, managed the policies and utilized it for code storages of Lambda function and Cloud formation.
• Developed infrastructure using Terraform and cloud formation and automated end-to-end transit hub connectivity resource deployment in AWS.
• Created AWS VPC network for the installed instances and configured the Security Groups and Elastic IPs accordingly.
• Worked wif development, deployment, and testing teams to ensure continuous operation of build and test systems.
• Maintained inventory using Jenkins and set alerts when the servers are full & need attention.
• Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from Dev through production.
• Used Kubernetes to orchestrate deployment, scaling, & management of Docker Containers.
• Worked on Docker container snapshots, removing images and managing Docker volumes.
• Worked on SSL s for the applications, inclusive of expirations, renewals, and installations.
• Created a Lambda deployment function, configured it to receive events from our S3 buckets.
• On boarded and migrated test and staging use cases for applications to AWS cloud wif public and private IP ranges to increase development productivity by reducing test-run times.
• Involved in building own Paas wif Docker; deployed various applications through Dockers containers.
• Dockerized applications by creating Docker images from Docker file.
• Installed and configured Nagios as monitoring tool for disk usage, CPU utilization, list of open files and sending alerts to our teams based on the same.
• Create Stories, Reports and worked on a queue of JIRA tickets to address system issues, user requests, daily bugs, and resolved issues.
• Deployed and configured GIT repositories wif branching, forks, tagging, and notifications.

Confidential

System Engineer

Responsibilities:

• Responsible for day-to-day System Administration tasks system monitoring, verifying the integrity and availability of all hardware.
• Created and maintained continuous build and continuous integration environments in Agile/SCRUM projects.
• Responsible for Red HatLinuxadministration like installing, deployment and upgrading of operating system on hardware and VMware ESX servers.
• Wrote Chef Cookbooks for various DB configurations to modularize and optimize product configuration.
• Worked wif DevOps Platform team responsible for specialization areas related to Puppet for Cloud Automation.
• Managed the Volumes including creation of physical and logical volumes onLinuxby using Logical Volume Manager for the management.
• Collaborated wif Development & Support teams to setup a CD environment wif Docker.
• Implemented and administered VMware ESX for running the Red HatLinuxservers on development and test servers
• Configured NFS server to share resources across multiple servers.
• Integrated Ant and Maven wif TFS source control to automatically trigger Builds and publish results back to TFS.
• Worked on Performance monitoring using native and third-party tools.
• Set up network environments using TCP/IP, NIS, NFS, DNS, SNMP agents, DHCP.
• Creation of SSL and Digital s for requesting, generating and implementation for the communication between clients and web servers.
• Responsible for setting up and managing Kickstart and Jumpstart environments.
• Created AWS S3 buckets and worked on managing policies for S3 buckets and utilized S3 bucket and Glacier for storage and backup on AWS.
• Worked on Performance Tuning and Query Optimization in AWS Redshift.
• Working on Multiple AWS instances, set the security groups, Elastic Load Balancer and AMIs, Auto scaling to design cost TEMPeffective, fault tolerant and highly available systems.
• Creating S3 buckets and managing policies for S3 buckets and Utilized S3 bucket and Glacier for Archival storage and backup on AWS.
• Worked on integrating GIT into the continuous Integration (CI) environment along wif Anthill-Pro, Jenkins.
• Created Users & NFS sharing & Samba sharing, EMC Agents Deployment on Servers.
• Used LVM to configure volume group, logical and physical partitions and importing new physical volumes.
• Configure Backups using crontab, Updated Patches, Assigning Roles, RPM, LVM creation & extending.
• Wrote Ansible playbooks wif Python SSH as a wrapper to manage configurations and the test playbooks on AWS instances using Python.
• Used Nagios as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked on Nagios Event handlers in case of automatic restart of failed applications and services.
• Well Versed wif Configuring Access for inbound and outbound traffic RDS DB services, Dynamo DB tables, EBS volumes to set alarms for notifications or automated actions.
• Expert Knowledge in Bash Shell Scripting, Automation of CRON Jobs.