SUMMARY

• Overall, 8 years of IT experience with 6+ years of experience dedicated to Automation, Cloud, Devops, Automating infrastructure, Performance Monitoring, and optimization.
• Has experience with teh AWS Cloud, as well as DevOps automation development for Linux systems.
• Designed and deployed large applications utilizing all teh AWS stack (Including EC2, Route53, S3, RDS, ECS, EKS, Dynamo DB, Lambda SNS, Glue, SQS) focusing on high availability, fault tolerance, and auto - scaling in AWS infrastructure as code component (IAC).
• Amazon IAM service enabled to grant permissions and resources to users. Managed roles and permissions of users with teh help of AWS IAM.
• Experience in creating and managing Infrastructure as a code (Iac) in Terraform and Cloud formation templates (CFT).
• Configured AWS Multi Factor Authentication in IAM to implement 2 step authentications of user's access.
• Efficient in Build and configuration of infrastructure in cloud development through teh usage of Terraform, CFT as IaC, and ability of Creating, modifying, and maintaining teh modules based on teh requirement of development project.
• Good experience in writing and deploying Helm Charts, Kubernetes yaml files for microservices into Kubernetes/ EKS clusters.
• Knowledge with Helm charts to manage and release of helm packages.
• Managed Kubernetes control plane and created reproducible builds of teh Kubernetes applications.
• Used MAVEN as a build tools on applications for teh development of build artifacts
• Troubleshooting experience while deploying EKS in AWS in deployment failover.
• Was part of cloud migration from ecs to EKS with close to 60 applications for 20 clusters, including various types of applications like spiring, middleware, UI, JavaScript, and data related apps.
• Worked on Dashboard Designing for Cloud migration project for various metrics and alerts using teh following tools, like Splunk, Datadog, CloudWatch.
• Setup Datadog monitoring across different servers and aws services.
• Created Datadog dashboards for various applications and monitored real-time and historical metrics.
• Integrated Datadog and Splunk dashboards with aws accounts and created system alert for various teams-based escalation protocols.
• Experienced in deployment of applications on Apache Webserver, Nginx, and Application Servers such as Tomcat, JBoss.
• Utilized AWS to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups.
• Worked in container-based technologies like Docker, Kubernetes and OpenShift.
• OpenShift virtualized PaaS provider - useful in automating teh provisioning of commodity computing resources for cost and performance.
• Troubleshoot issues like slow performance using log metrics for applications deployed.
• Having good working experience in AWS with EKS by using Terraform for Infrastructure as code(Iac).
• Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.
• Responsible to designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana)
• Used Ansible Playbooks to setup Continuous Delivery Pipeline.
• Experience in Hashi Corp toolsets: Vagrant, Consul, Terraform, Vault
• Created functions and assigned roles in AWS to run python scripts.
• Worked on ServiceNow Cloud Management to optimize cloud operations and extend teh power of teh Now Platform to accelerate teh cloud strategy.
• Involved in deployment of applications on Apache Web server, Nix and Application Servers like Tomcat, JBoss.
• Working noledge of Atlassian toolset like confluence and Jira for Task management and technical documentation.
• Was a part of teams previously, would like to be part again and would be excited to coordinate, cross train and work with team.

TECHNICAL SKILLS

Operating Systems: RHEL Linux, Ubuntu, Windows

Source Code Management Tools: GIT/Github, Bitbucket, gitlab.

Cloud Services: AWS, Azure

Build Tools: ANT, MAVEN.

Automation and deployment Tools: Ansible, Docker, Kubernetes, Helm, Terraform, Cloud formation templates.

Continuous Integration Tools: Jenkins, GitLab ci.

Servers: Apache, Tomcat, Nginx, MySQL, Postgres, oracle.

Scripting Languages: Python(basic), Bash

AWS resources: IAM, Dynamo, S3, EC2, Route53, ECS, EKS, Fargate, RDS, Dynamo DB, cloud watch, SNS, SQS, security groups.

Monitoring and logs: Datadog, Splunk, cloud watch, cloud trail, Elk stack.

PROFESSIONAL EXPERIENCE

System/ Devops engineer

Confidential, NYC, NY

Responsibilities:

• Assisted in migrating teh existing data center into teh AWS environment.
• Installed teh application on AWS EC2 AMI, Red hat Instances.
• Improve speed, efficiency, and scalability of teh continuous integration environment with Bitbucket, automating wherever possible using Python.
• Created multiple Python and Shell Scripts for various application-level tasks.
• Amazon IAM service enabled to grant permissions and resources to users. Managed roles and permissions of users with teh help of AWS IAM.
• Configured AWS Multi Factor Authentication in IAM to implement 2 step authentications of user's access.
• Extensively worked with Scheduling, deploying, managing container replicas onto a node using Kubernetes and experienced in creating Kubernetes clusters work with Helm charts.
• Worked on deploying Helm Charts, Kubernetes yaml files for microservices into Kubernetes/ EKS clusters
• Build and configuration of infrastructure in cloud development through teh usage of Terraform tool as IaC,
• Worked on modifying teh Terraform modules based on teh requirement of development project.
• Created database backups and performed database restore using terraform scripts for rds.
• Built scripts and run for Jenkins’s server triggering of automation.
• Created and stored tar files for teh automation for Nexus repository.
• Worked on ansible automation for messaging platforms and setup teh ansible on on prem and ec-2 cloud instances as control node.
• File System capacity management and integrity checking.
• Used BMC Remedy as Ticketing tools to alert different teams and also to escalate teh issues.

Environment: Docker, AWS, LINUX, UNIX, Windows XP, SQL, AWS, Eks, IAM, Gateway, Dynamo, S3, Apache Tomcat, Nginx, Ansible, Splunk, Elasticsearch, Helm, Ansible Tower, GitHub, Jenkins, Python, Kubernetes, CloudWatch

Systems Engineer

Confidential, Charlotte, NC

Responsibilities:

• Design and configure continuous integration build system through collaboration with development
• Work towards Trouble shooting production issues and different scenarios of environments, logging, and data storage problems.
• Design universally available, cost effective and fault tolerant systems using multiple EC2 instances, Auto Scaling, Elastic Load Balance and AMIs.
• Automated setting up server infrastructure for teh DevOps services, using Ansible, shell and python scripts.
• Use Amazon RDS to manage, create snapshots, and automate backup of database.
• Amazon IAM service enabled to grant permissions and resources to users. Managed roles and permissions of users with teh help of AWS IAM.
• Configured AWS Multi Factor Authentication in IAM to implement 2 step authentication of user's access
• Created database backups and performed database restore using terraform scripts.
• Installed Datadog agents on EC2s and AWS Infrastructure applications using Infrastructure as Code via Terraform
• Worked on deploying Helm Charts, Kubernetes yaml files for microservices into kubernetes/ EKS clusters
• Experience in writing Infrastructure as a code (IaC) in Terraform.
• Worked with different teams to analyze teh RCA’s and triage issues by using AppDynamics tool.
• Experience in optimizing volumes, EC2 instances and created multiple VPC instances and created alarms and notifications for EC2 instances using Cloud Watch.
• Managing teh OpenShift cluster that includes scaling up and down teh AWS app nodes.
• OpenShift virtualized PaaS provider - useful in automating teh provisioning of commodity computing resources for cost and performance.
• Execution deployments to container orchestration tools ranged over time from OpenShift on EC2, AWS
• Built custom Docker images from Artifactory into EKS K8s cluster as part of a jenkins CI pipeline.
• Develop ansible playbooks and modules for IT automation.
• Setup Datadog monitoring across different servers and aws services.
• Created Datadog dashboards for various applications and monitored real-time and historical metrics
• Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manage changes.
• Developed and maintained integration and release processes.
• Managed compliance automated scripts for middleware applications with python debugging and code reviews.
• AIM for cloud modelling for shifting teh cloud migrations and mapping cloud resources.
• Using teh compliance HPSA tool was used for automation.
• Tracked all teh changes in Jira tracking tool and provided metrics reporting for teh project release activities.
• Provide support to IT ops and administer scheduling of modules using ansible tower.
• Administer and Work on Jenkins for managing weekly Build, Test and Deploy chain, GIT with different environments.
• Experienced in deployment of Middleware applications on Apache Webserver, Nginx and Application Servers such as Tomcat, JBoss.
• Administration for large websites (load balancing HA Proxy/ELB, web server (Nginx/Apache)

Environment: Docker, AWS, LINUX, UNIX, Windows XP, SQL, AWS, Eks, IAM, Gateway, Dynamo, S3, Apache Tomcat, WebSphere, Jboss server, OpenShift, Nginx, Ansible, Ansible Tower, GitHub, Jenkins, Python, Kubernetes, Datadog.

AWS cloud Engineer

Confidential, Appleton, WI

Responsibilities:

• Has experience in Agile Methodologies, Scrum stories and sprints experience in a Python based environment.
• Assisted in migrating teh existing data center into teh AWS environment.
• Installed teh application on AWS EC2 AMI, Red hat, Ubuntu Instances.
• Improve speed, efficiency, and scalability of teh continuous integration environment with Bitbucket, automating wherever possible using Python.
• Created multiple Python and Shell Scripts for various application-level tasks.
• Amazon IAM service enabled to grant permissions and resources to users. Managed roles and permissions of users with teh help of AWS IAM.
• Configured AWS Multi Factor Authentication in IAM to implement 2 step authentication of user's access
• Updating teh Kubernetes resource using teh Kubectl commands annotation.
• Using Kubectl commands for interaction and management of Kubernetes objects.
• Implemented AWS solutions using EC2, S3, RDS, Cloud Formation, Cloud Watch, Dynamo DB, Auto-scaling groups.
• Implemented a 'server less' architecture using and Dynamo DB and deployed AWS from Amazon S3 buckets.
• Converting existing AWS infrastructure to Server-less architecture deployed via CloudFormation.
• Created functions and assigned roles in AWS to run python scripts.
• Used Ansible to manage Web Applications, Config Files, Database, Users, Mount Points, and Packages.
• Creation and maintenance of content for teh Ansible community, and implementation of Ansible modules based on customer and community requirements.
• Used Kubernetes to deploy scale, load balance, scale and manage docker containers with multiple namespaces.
• Responsible to designing and deploying new ELK clusters (Elasticsearch, logstash, Kibana)
• Experience in writing Infrastructure as a code(IaC) in Terraform
• Efficient in Build and configuration of infrastructure in cloud development through teh usage of Terraform tool as IaC, and ability of modifying teh Terraform modules based on teh requirement of development project.
• Experience in managing MongoDB environment from availability, performance and scalability perspectives.
• Applied write concern for level of acnoledgement while MongoDB write operations and to avoid rollback.
• Deliver content from EKS (Kubernetes) clusters, and relational databases in AWS as a code drastically improving user experience and latency.
• Write terraform scripts from scratch for EKS for building Dev, Staging, Prod
• Built and delivered Kubernetes cluster using Kops and EKS on AWS
• Used to deploy EKS in AWS using deployment for failover.
• Managing AWS Infra and automation with CLI, API. Managing DATA Center Inbound and outbound services.

Environment: AWS (EC2, EKS, VPC, ELB, S3, Gateway, Lambda, Mongodb, Load balancer (ELB), Kubernetes, Python, IAM, shell scripts, Elasticsearch, logstash, Kibana, Ansible, Terraform, ServiceNow Git version Control, GIT, GITHUB, Docker, Jenkins, Open Stack, and Linux environment

DevOps Automation Engineer

Confidential, Columbus, OH

Responsibilities:

• Build and release software baselines, code merges, branch and label creation and interfaced between development and infrastructure. Performed all necessary day-to-day Subversion support for different projects.
• Building and monitoring in teh project has been done continuously with a CI Tools like Jenkins.
• Deployment of teh Business processes by creating JAR, WAR and EAR files to IBM WebSphere application servers.
• Assisted in migrating teh existing data center into teh AWS environment.
• Installed teh application on AWS EC2 AMI, Red hat, Ubuntu Instances.
• Involved in maintaining and editing python scripts for application deployment automation.
• Experienced in Cloud automation using AWS Cloud Formation templates and Python.
• Worked with different teams to analyze teh RCA’s and triage issues by using AppDynamics tool.
• As part of AppDynamics production support team Worked as a liaison between development teams, DBA, Middleware, Performance, Integration teams.
• Branching and tagging of code in our repository and maintain code base integrity using Bitbucket.
• Implemented CI and CD for database using Jenkins and UDeploy.
• Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring.
• Utilized Kubernetes for teh runtime environment of teh CI/CD system to build, test deploy.
• Deployment ownership for projects on Amazon AWS. dis includes Python scripting for automation, scalability, build promotions.
• Created various scripts in Python for automation of various build processes.
• Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.
• Automate provisioning and repetitive tasks using Terraform and Python.
• Create develop and test environments of different applications by provisioning Kubernetes clusters on AWS using Docker, Ansible, and Terraform.
• Deployed teh Java applications into web application servers like Apache Tomcat.

Environment: Subversion, Jenkins, Junit, Puppet, Java/J2EE, Maven, JIRA, Python, LINUX, Terraform, OpenStack, XML, IBM Web Sphere, Oracle, Perl Scripts, Appdynamics, Bitbucket, Shell scripts, Kubernetes.

System Engineer

Confidential

Responsibilities:

• Participating in Sev1/Sev2 outages, collaborating with other supporting teams and Vendor in troubleshooting.
• Developing teh script in Python and Shell Script for automating teh jobs of teh System administrator. Automate deployments through use of configuration management tools.
• Creating volumes and managing file system using Native Logical Volume Manager( LVM ) and Veritas VxVM
• Managing external storage using native multi pathing for NetApp and power path for EMC .
• Diagnose and correct problems with network services and any other hardware issues in Linux servers.
• Configuring and managing VCS and modifying main.cf for configuration changes.
• Strong experience with theVMwareHA (High Availability), Fault Tolerance, &Distributed Resource Scheduler (DRS).
• ConfiguredVMwarecluster environment with DRS and HA
• Providing 24/7 support for Infrastructure Server and Applications.
• Generate reports using RVtools for teh virtual environment for current configuration of teh VMs in teh virtual environment.
• Expertise in Veritas Volume manager
• File System administration (creating and increasing file systems) .
• File System capacity management and integrity checking.
• Used BMC Remedy as Ticketing tools to alert different teams and also to escalate teh issues.

Environment: Subversion, Jenkins, Junit, Java/J2EE, Maven, JIRA, LINUX, Terraform, OpenStack, XML, IBM Web Sphere, serviceNow, Oracle, Perl Scripts, Shell scripts.

Web Developer

Confidential

Responsibilities:

• Involved in SDLC Requirements gathering, Analysis, Design, Development, and Testing of application developed using AGILE methodology.
• Developed teh application using Spring Framework that leverages classical Model View Layer (MVC) architecture.
• Worked in teh different parts of teh MVC pattern like Dispatcher Servlet, Handler Mapping, Controllers, Model, and Views.
• Used spring core for Business Layer.
• Used Hibernate in conjunction with Spring functionality to implement Object-relation mapping in teh persistence layer.
• Worked on high-volume crash collecting and reporting system, built with Python
• Developed unit and functional tests in Python and javascript.
• Asynchronous calls and preloading teh data are made using AJAX
• Worked on Complex SQL queries and created stored procedures for different business functionalities.
• Used reset policies and tools to maintain code quality compliance.
• Performed Unit testing for various modules using JUnits.
• Used SPLUNK to get teh Debug logs.

Environment: Java, Spring MVC, Hibernate, jQuery, JavaScript, Python, HTML, CSS, AJAX, REST, SOAP, SPLUNK, Maven, Oracle, and WebLogic.Installed, upgraded and loaded Patches and Packages on Windows Servers.