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Cloud-devops Engineer/systems Engineer Resume

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Alpharetta, GA

SUMMARY

  • 8 years of IT Industry Experience in Linux Administration, Configuration Management, Continuous Integration, Continuous Deployment and Cloud Implementations.
  • Experienced in developing Web Services with Python programming language Django, a high - level Python Web framework.
  • Experience using Azure and AWS Managed Services like VPC, EC2, S3, AWS SSO,Route53, ELB, EBS, IAM, ECS,KMS and CMK,AWS Firewall.
  • Strong experience on DevOps essential tools like Puppet, Ansible,Docker,Kubernetes, GIT,Jenkins, Ant, Maven, and migrated VMware VMs to AWS using AWS Migration Hub.
  • Experience in Full stack development, Web-scale engineering, and architecture.
  • Experience in AWS Storage services and SQL,NoSQL Databases like S3,RDS,DynamoDB,Aurora,Deep Archive,In-memory Database Redis,CDN services like CloudFront,API Gateway,Lamba,Kinesis.
  • Strong Experience in Design, implement, and support Oracle databases in online transaction and batch environments.
  • Experience in Building Production-Grade Orchestration Platforms using Kubernetes and AWS EKS.
  • Automated the Continuous Build process, monitored, maintained, and controlled software configuration in secured distributed environment.
  • Solid understanding of Blockchain, Cryptography, Encryption, Token Mechanics, Automation, and Cloud.
  • Experience in Implementing Service mesh like Istio for Kubernetes metrics and monitoring using sidecar Proxy.
  • Improved continuous integration workflow, project testing, and deployments with Jenkins. Implemented code coverage and unit test plug-ins with Maven in Jenkins.
  • Experienced in automating, configuring, and deploying instances on AWScloud environment and in Data centers.
  • Experience in automation of Kubernetes based deployments with Ansible using playbooksand using Helm charts for Deployment of Microservices.
  • Designed AWS CloudFormation templates to create customized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Focused on continuous integration and continuous deployment and promote enterprise solution deployment assets to target environments.
  • Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, Dynamo DB tables, EBS volumes; to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the system.
  • Experience in using ELB, general networking principles, firewalls, routing technologies and DNS (Route 53).
  • Excellent knowledge of Client/Server architecture, OSI layers, TCP/IP networks.
  • Experience in Virtualization administration and configuration (VMware, VMware ESX, Xen).
  • Good knowledge on Network Topology(LAN/WAN/Subnets/VPN Firewalls).
  • Experience in automation (writing Shell & Perl scripts) to monitor UNIX production applications.

TECHNICAL SKILLS

Operating Systems: Red Hat,Windows,Ubuntu,CentOS,Debian

Virtualization Technologies: Oracle Virtual Box,Docker,VMware

Cloud Technologies: AWS(Amazon Web Services),Azure

Infrastructure Automation: Terraform,Ansible

Source Control/ Versioning Tools: Git,Gitlab, GitHub, Bitbucket,CVS

Configuration Management Tools: Ansible,Chef,Puppet

Continuous Integration Tools: Jenkins,Maven,Bamboo

Servers: WebLogic, Apache Tomcat,Nginx, WebSphere

Programing: Java,Python,Shell,bash scripting

Databases: MySQL,PostgreSQL,MongoDB,Redis,Elastic Search

Services: LDAP,DNS,BIND,HTTP,HTTPS,POP3,NFS,TLS/SSL,DHCP,Kerberos

Ticketing Tools: JIRA, Clear Quest

Monitoring Tools: AWS CloudWatch,Prometheus,Grafana,Nagios,ELK

Static Code Scanning Tools: SonarQube,Fortify

PROFESSIONAL EXPERIENCE

Confidential, Alpharetta, GA

Cloud-Devops Engineer/Systems Engineer

Responsibilities:

  • Creating and maintaining secure AWS cloud-based app/data hosting solutions
  • Creating and maintaining storage services such as S3, RDS,Redis databases and enabling lifecycle policies.
  • Monitor the health of Amazon EC2 instances and other AWS services and alert set ups using CloudWatch.
  • Working on Lambda function creation, AWS CLI, Bash Scripting, Python scripting.
  • Worked on creating Jenkins freestyle projects in Jenkins Pipelines and automate CI/CD process.
  • Actively Worked on Building and Importing Complex Infrastructure into modules using Terraform.
  • Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.
  • Working with cloud native CICD tools AWS Code Commit, Code Build, Code Deploy, Code Pipeline.
  • Deploying and Managing Microservices in multi-cloud Environment using Kubernetes and Helm charts.
  • Design and Maintain cloud deployment strategies like Blue/Greenwith SCMs such as GitHub, bitbucket.
  • Working on EKS Clusters and Other AWS Infrastructure Automation and Provision with CloudFormation, Terraform, Ansible, Prometheus and Grafana.
  • Worked on Containerizing Python and Java Based web applications using Docker and Orchestration tools like Kubernetes etc.
  • Worked on the possibilities and different ways of Locking down different Terraform Module Versions.
  • Installed, Configured and Managed Docker Containers, Docker Images for web servers and Applications servers such as Apache Tomcat using Docker and Integrated with Amazon MySQL RDS database.
  • Scripted automation for snapshots of existing Elastic Block Storage (EBS) volumes for backups and restored these snapshots to other EC2 Instances including resizing the capacity of EBS Volumes.
  • Deployed MySQL RDS Database in Multi Availability Zones for High Availability and created Read replicas of primary DB
  • KMS Implementation for encryption of volumes And Databases.

Environment: AWS,Azure,Linux,Docker,Kubernetes,Terraform,Shellscripting,Python,Java,Jenkins,Redis,Microservices,Prometheus,Grafana,VMware.

Confidential, NY

Sr. Devops/Systems Engineer

Responsibilities:

  • Driving the tooling, methodology, policy, and processes to help operate successfully at scale within the cloud. Focus on both configuration and cloud management.
  • Identifying, analyzing, and optimizing cloud operations processes in collaboration with the Network, Platform, and Applications teams for automating.
  • Writing process requirements documents and decomposing each requirement into multiple user stories for sprint development cycle.
  • Designing, documenting, developing, testing, and deploying automation tools
  • Writing standard operating procedures and training our operations engineers to use and maintain the automation tools.
  • Testing, deploying, and advocating the use of technologies such as Git, Jenkins, Terraform, Ansible, AWS SSM with focus on built-in AWS technologies.
  • Created Amazon ELB and Auto Scaling groups, installed, configured, and maintained web and application servers including Apache2 and Apache Tomcat on Docker containers and Integrated with Amazon MySQL RDS database.
  • Developed tools using Python, Shell scripting, XML to automate some of the menial tasks. Interfacing with supervisors, systems administratorsto ensure production deadlines are met.
  • Delivering the Confidential Innovation Content across the regions using CDN services such as AWS CloudFront.
  • Analyzing changes in business requirements and updating the existing documents, processes, methods, procedures, and tools to work with these changes.
  • Implemented AWS SSO for managing the access to AWS accounts and business applications centrally and also for users.
  • Worked on Azure which involved configuring VM’s,storage accounts, resource groups and handling multiple subscriptions.
  • Worked with team of Developers to develop in Blockchain using Hyperledger(fabric,Composer).
  • Managing Bitbucket for the MS Internal lab development projects.
  • Developed CloudFormation scripts to build, change and version Infrastructure as code using AWS as provider and launch multi-tiered stack to be provisioned and configured with the scripts.
  • Providing direction and support to junior cloud engineers in all phases of tool development life cycle.
  • Integrating Prometheus and Grafana with Kubernetes cluster to Monitor different metrics for all the nodes.
  • Assisting the manager in addressing complex provisioning, deployment, configuration, and automation projects.
  • Helping to drive down and maintain cost within the cloud.

Environment: AWS,Azure, Linux,Docker,shell scripting, python,Blockchain,CloudFront, Bitbucket,Kubernetes,Terraform, Helm.

Confidential, Portage, MI

Sr. Devops/Linux Engineer

Responsibilities:

  • Build Infrastructure solutions On Private and Public cloud solutions.
  • Automation of Infrastructure changes using Jenkins,Phyton scripting.
  • Maintain and run Linux servers on AWS Platform.
  • Build solid working relationships with MIS team members as well as collaborating with internal customers.
  • Continue to develop a strong base of technical skills in the various technologies used by the MIS team.
  • Creating CloudWatch alerts for instances and using them in Autoscaling launch configurations.
  • Experienced in Performance Tuning and Query Optimization in AWS Redshift.
  • Managed deployment automation using Puppet.
  • Managed Docker Containerization and Docker Orchestration using Kubernetes.
  • Worked on Container Orchestration like Elastic Container Service, Kubernetes and working with Terraform.
  • Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMIs for mission critical production servers for backup.
  • Design AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Write JSP and Servlets to add functionality to web application based on customer requirements
  • Administrating the Version Control and Source code Management tools like GitHub Enterprise and performing regular updates.

Environment: AWS, Linux,Jenkins, Nagios, Puppet, Kubernetes, Docker, GitHub,Java.

Confidential, West Hartford, CT

Sr.Devops/Cloud Engineer

Responsibilities:

  • Managed multiple cookbooks in and Implemented environments, roles, and templates in for better environment management.
  • Used Shell scripts to day to day activities and tasks for automating.
  • Used Jenkins tool to automate the build process to manage Git.
  • Installing and configuring Jenkins master and slave nodes. Built CI/CD pipeline and managing the infrastructure as code using.
  • Created and implemented cookbooks for deployment. And alsoused Recipes to create a Deployment directly into Amazon EC2 instances.
  • Used SonarQube for creating reports on unit test and Potential bugs etc in the code.
  • Automation of all Manual Infrastructure Changes as Code via Python, Jenkins Pipelines, & Ansible Tower.
  • Setup Server, workstation, client and wrote scripts to deploy applications.
  • Deployed the applications to Tomcat Application Server and static content to Apache web servers.
  • Implement and Enhance the Existing Scripts which are developed in Shell, Perl, Ruby and Python.
  • Automated the continuous integration and deployments using Jenkins, Docker, Ansible and AWS Cloud Templates.
  • Wrote Python scripts with Cloud Formation templates to automate installation of Auto scaling, EC2, VPC and other services.
  • Worked on Docker container to create Docker images for different environments.
  • Worked on system Monitoring with Prometheus and Grafana using docker.
  • Implemented and improved process for release management, automated code deployment, configuration management, and monitoring.

Environment: AWS, Jenkins, Ansible, Nagios, Git, Docker, Shell scripts, Sonarqube, Bamboo.

Confidential, Stamford, CT

Devops Engineer

Responsibilities:

  • User account management, worked with Perl, shell scripting (ksh, bash) to automate administration tasks.
  • Maintained user accounts file system and limit user account privileges.
  • Securing the databases and applications according to HIPAA Standards.
  • Experienced in creating web applications with Python Flask.
  • Developed new application and added functionality to existing applications using Java/J2EE technologies
  • Created RESTful API's using Python and POSTMAN API for other developers
  • Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes.
  • Used Jenkins for Continuous Integration and deployment into Tomcat Application Server.
  • Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure.
  • Support Production/development and Testing systems, UNIX system upgrading and UNIX Network configuration
  • User/group maintenance in both production/development environments. In-house process control initiatives including IT Services Management, worked with LDAP integration for a single log on purpose.
  • Developed tools and utilities to automate system administration tasks using Bash, Python

Environment: UNIX/LINUX, Redhat Linux 6, CentOS, SVN, Jenkins, Windows, Apache Tomcat, ShellScripts,Nagios, puppet.

Confidential, San Francisco, CA

DevOps Engineer

Responsibilities:

  • Worked on Configuration management, release management and build management using JENKINS/HUDSON.
  • Installed MAVEN and configured pom.xml in conventional projects for continuous integration.
  • Adept at build deployment, build scripts and automated solutions using scripting languages such as Shell and Python.
  • Worked on configuring plug-ins like Junit, SSL authentications in Maven.
  • Coordinating the resources by working closely with Project Manager's for the release and carried Deployments and builds on various environments using continuous integration tool.
  • Linux container orchestration with Docker, Kubernetes, CoreOS, etcd, and more.
  • Designed front-end of web application using HTML/CSS and Servlets.
  • Developed and contributed a P&G Cluster application to the Kubernetes project.
  • Wrote Python Code using Ansible. Python API to Automate Cloud Deployment Process. Developed Python Modules for Ansible Customizations.
  • Used Shell/Perl scripts to automate the deployment process.
  • Build highly available content distribution sites by using CI/CD tools like, Ansible, Docker, Maven, Jenkins,Kubernetes etc.
  • Converted and automated builds using Maven and Ant. Scheduled automated nightly builds using Hudson/Jenkins.

Environment: HTML,CSS, Ant, Maven, Subversion, Jenkins, Clear Case, Clear Quest, UNIX, JUnit.

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