Aws Devops Engineer Resume
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SUMMARY
- Versatile DevOps/Cloud Engineer with 10+ year of experience, I has practical skills with interesting technologies, tasks, and people. In the whole role of my engineering practice includes building, automating and supporting application servers in a cloud (AWS) and on - premise, experience on server infrastructure migration, configuration management, monitoring and securing, automation, cloud services, CI\CD Pipeline, different web/application servers.
- 10+ years of professional experience comprising of DevOps, Cloud and Middleware administration for various environments on Linux.
- Hands on Experience in DevOps tools like Git, Maven, Jenkins, GitHub, Terraform, Docker, Kubernetes, Python, Ansible, AWS.
- Configured Continuous Integration and Continuous Delivery/Deployment (CI & CD) tools Jenkins, managed Jenkins Plugins, created slave nodes, created build and deployment jobs. Automating the application deployment in Dev, QA, and Production environments.
- Hosting and maintaining GIT, Jenkins and Debugging issues if there is any failure in broken Jenkins/Gitlab build.
- Used Jenkins pipelines to drive all Application builds and out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
- Created Containers and images for Docker and build/uploaded using Jenkins.
- Kubernetes installation and configuration using kubelet, kubeadm, and kubectl and configured master and nodes.
- Created Kubernetes pods, replication controller and deployment using yml files.
- Building/Maintaining Docker container clusters managed by Kubernetes and Worked with docker, docker compose.
- Experience in using source code management tool GIT.
- Experience in setting up the build and deployment automation with Terraform.
- Strong noledge on Amazon Web Services (AWS) Cloud services
- Building the AWS services (EC2, S3, ELB, VPC, IAM and Security Groups).
- Creating amazon EC2 instances and maintaining with security groups. Architecting of Elastic Load Balancers with EC2 Instances. Maintaining volumes and mapping with multi AZ VPC instances.
- Defined AWS security groups which acted as virtual firewalls to control the incoming trafficonto AWS EC2 instances.
- Handled all the aspects of Installation, Configuration, Troubleshooting and Load Balancing, Clustering, Deploying Applications, Performance Tuning and Maintenance of Web logic and Jboss Servers and Jenkins.
- Installed Web Logic on LINUX environments using GUI, console.
- Strong noledge on Ansible deployment and playbooks for CI & CD
- Automating routine activities of build preparation and release. Used Jenkins, Ansible for building current micro-services oriented modules.
- Involved in the configuration of Web Logic domain with configured clusters, servers, connection pool.
- Proficient in deployment of various Applications in domain and clustered environments of Web Logic server by using the tools like admin console, Web Logic Deployer utility.
- Configuring of Data sources, Pool Connections and troubleshooting to fixing up problems.
- Expertise in Installation and Configuration of Apache HTTP Web server.
- Experience in configuring and managing secured environments using SSL and digital s.
- Good noledge on source controller concepts like Branches, Merges and Tags.
- Experience in monitoring tool like Nagios, Kibana, Grafana, New Relic, Catchpoint, PagerDuty.
- Created Cron jobs and scheduled many automated tasks for the weekly and daily task of the UNIX machines.
- Excellent problem-solving skills with good interpersonal skills.
- Provided 24/7 production support and coordinated with business, developers, management and end-users to resolve critical issues.
TECHNICAL SKILLS
Application Servers: Web Logic Application 10g, 11g, 12c, JBoss 6/7, Fusion Servers.
Web Servers: Apache HTTP Server 2.4.
Operating Systems: Linux, UNIX, Microsoft Windows XP.
Monitoring/collaboration tools: JIRA, PagerDuty, Slack, Wily Introscope, SiteScope, AOTS RemedyGrafana and Kibana.
CI/CD/Deployment Tools: Jenkins, Gitlab.
Source Control Tool: GIT.
Build Tools: Maven.
Other Tools: Docker, Kubernetes, Ansible, Terraform, AWS.
PROFESSIONAL EXPERIENCE
Confidential
AWS DevOps Engineer
Responsibilities:
- Strong noledge on Amazon Web Services (AWS) Cloud services
- Building the AWS services (EC2, EKS, S3, VPC, and Security Groups).
- Worked on Cloud Computing (AWS). Following are the features implemented and worked on Amazon EC2, EBS, S3, RDS, ELB, VPC, Routers, Config, Code Deploy, Elastic IP, Cloud Formation, Cloud watch, IAM.
- Worked on CI/CD pipeline to automate the build and deploy.
- Created Docker images using a Docker file. Worked on Docker container snapshots, removing images and managing docker volumes and experienced with Docker container service.
- Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from development through production, easing the code development and deployment pipeline by implementing Docker containerization
- Focused on containerization and immutable infrastructure. Docker has been core to this experience, along with Kubernetes.
- Building/Maintaining Docker container clusters managed by Kubernetes, Linux, Bash, GIT, Docker, Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
- Using Kubernetes, I has controlled and automated application deployments and updates and orchestrated deployment.
- Worked on deployments of the application enhancements. Closely worked with release management team, QA team to move the code smoothly in production environment.
- Connected with customer and based on the requirements created the jobs to automate the deployment on client specific environment. Implementing a Continuous Delivery framework using Gitlab, Jenkins, Ansible for automation.
- Configured Continuous Integration (CI) tools Jenkins, managed Jenkins Plugins, created slave nodes, created build and deployment jobs. Automating the application deployment in Dev, QA, and Production environments.
- Designed and implemented Continuous Integration using Jenkins, GIT, Docker, Kubernetes, Maven.
- Writing and maintaining Docker file for various custom image, Building, tagging, pushing images through Jenkins Pipelines
- Docker container cluster using Kubernetes.
- Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on AWS Cloud Infrastructure. Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
- Experienced with deployments, Maintenance and troubleshooting applications on AWS Cloud Infrastructure.
- Written terraform files to create the infrastructure on AWS environment.
- Monitoring tools like New relic, Catchpoint, PagerDuty, Slack.
Confidential
AWS DevOps Engineer
Responsibilities:
- Designed and implemented CI/CD using AWS,OCI, Jenkins, GIT, Docker, Kubernetes, and Maven.
- Experienced with deployments, Maintenance and troubleshooting applications on Oracle Cloud Infrastructure and AWS.
- Implemented AWS solutions using EC2, RDS, EBS, Elastic Load Balancer, Auto scaling groups. AWS Cloud management.
- Responsible for code build, release and configuration on Amazon EC2.
- Optimized volumes and EC2 instances. Created multi-AZ VPC instances. Used IAM to create new accounts, roles and groups.
- Created monitors, alarms and notifications for EC2 hosts using Cloud Watch.
- Experience with installation and configuration of Docker environment including Docker registry hub for managing different Docker images and deployment of applications inside the software containers
- Created Docker images using a Docker file. Worked on Docker container snapshots, removing images and managing docker volumes and experienced with Docker container service.
- Building/Maintaining Docker container clusters managed by Kubernetes, Linux, Bash, GIT, Docker, Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
- Using Kubernetes, I has controlled and automated application deployments and updates and orchestrated deployment.
- Monitoring tools like HMS, Gimon, Nagios, Kibana, Grafana, PagerDuty, Slack.
- Worked on Building, Deploying, Kibana for the log stream. Automated them using ansible and Jenkins
- Worked on OS vulnerabilities fixes and OS patching, automated them through ansible jobs.
- Worked on CI/CD pipeline to automate the build and deploy.
- Connected with customer and based on the requirements created the jobs to automate the deployment on client specific environment. Implementing a Continuous Delivery framework using Gitlab, Docker, Kubernetes, and Python for automation.
- Implementing a Continuous Delivery framework using Jenkins, GIT in Linux environment.
- Integration of maven, Jenkins, Git and maintaining for various image creation..
- Creation and monitoring of Tickets on CX tool.
- Experience in Jira Ticketing tool, MOS tool and Pager Duty.
- Developed Cron jobs and Python for automating administration tasks like file system
- Monitoring tools like Nagios, Kibana, Grafana, PagerDuty, Slack.
- Co-ordinating between onsite and offshore team members.
Confidential
DevOps Engineer
Responsibilities:
- Monitored Mission critical applications of AT&T and worked to ensure high availability of the applications by actively suggesting enhancements to WebLogic and Jboss Servers.
- Implemented AWS solutions using EC2, RDS, EBS, Elastic Load Balancer, Auto scaling. groups. AWS Cloud management.
- Configured Continuous Integration (CI) tools Jenkins, managed Jenkins Plugins, created slave nodes, created build and deployment jobs. Automating the application deployment in Dev, QA, and Production environments.
- Experience with installation and configuration of Docker environment including Docker registry hub for managing different Docker images and deployment of applications inside the software containers
- Created Docker images using a Docker file. Worked on Docker container snapshots, removing images and managing docker volumes and experienced with Docker container service.
- Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from development through production, easing the code development and deployment pipeline by implementing Docker containerization
- Focused on containerization and immutable infrastructure. Docker has been core to this experience, along with Kubernetes.
- Connected with customer and based on the requirements created the jobs to automate the deployment on client specific environment. Implementing a Continuous Delivery framework using Gitlab, Jenkins, Ansible for automation.
- Involved in the installation and configuration of Domains, Clustering, Deploying Applications, configuring JDBC connection pools, Data Sources.
- Worked on deployments of the application enhancements. Closely worked with release management team, QA team to move the code smoothly in production environment.
- Troubleshooting and monitoring the Web logic application servers for Performance by tuning JVM heap size and garbage collection.
- Worked on updating and renewal of SSL s.
- Upgraded Web logic Server by regular JDK versions updates and applying patches.
- Worked with AT&T vendors as well as internal app teams to onboard new applications especially in KMS and Search applications.
- Provided 24X7 production support and coordinated with business developers, management and end-users to resolve critical issues.
Confidential
Production Support
Responsibilities:
- Install, configure and administration of Oracle WebLogic Application Server.
- Created and Configured WebLogic Domains using Domain Templates and Configuration Wizard.
- Setup and configure the Clusters on cluster environment for load balancing and high availability.
- Deployed the applications, formats of WAR, JAR and EAR in WebLogic Server.
- Patch updates and Version Upgrades for WebLogic servers.
- Configuration of JDBC, JMS, JNDI in Oracle WebLogic Server.
- Deployed the applications on multiple WebLogic Server instances and maintained Load balancing, high availability and Fail over for the servers.
- Deployed Critical Applications in Maintenance Window.
- Configured and deployed applications in various work environments like Development, Test, and Production.
- Provided 24X7 production support and coordinated with business developers, management and end-users to resolve critical issues.