SUMMARY

• Successful AWS DevOps Engineer around 8+ years of professional experience dedicated to automation and optimization.
• Having experience as Cloud Engineer (Virtualization Technology) where Planning, Implementation, Administration, Patching and troubleshooting are involved and I has worked on cross platforms like Linux, Networks and windows. With teh advancement of teh technology over teh years, I has upgraded myself and worked on cloud technologies like AWS.
• Good understanding and experience in managing teh space between operations and development to quickly deliver code to customers.
• Hands on experience with teh Cloud, as well as DevOps automation development.
• Extensively worked on Jenkins/Hudson by configuring and maintaining for teh purpose of continuous integration (CI) and for End - to-End automation for all build and deployments.
• Proficient in AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud Formation AWS Config, Autoscaling, CloudFront, IAM, KMS, S3, and R53.
• Installed Red Hat Enterprise Linux OS and applied security policies for hardening teh server based on teh vendor recommendations.
• Created and maintained user accounts, profiles, security rights, disk space and process monitoring Monitored and managed servers and services using Nagios and zabbix.
• Performed daily system monitoring, Verified teh integrity and availability of all hardware and server resources, and reviewed system and application logs Evaluated performance of systems to make sure dat they meet business needs.
• Has working Knowledge on installing, configuring, tuning, maintaining and monitoring Windows 2008/2012 and 2012 R2 OS.
• Working Knowledge of Active Directory, DNS, DHCP, HTTP, FTP.
• Has hardened and patched teh windows servers by following Standard patching methodology.
• Assisted in developing and maintaining Group policy.
• Created and maintained user accounts, profiles, security rights, disk space and process monitoring.
• Experience working on Google Cloud Platform (GCP) services like compute engine, cloud load balancing, cloud storage,
• Proficient in using Google Cloud Platform (GCP) to build, test and deploy applications on Google very Adaptable and solid framework for web, portable and backend arrangements.
• Strong experience in creating clusters in Google Cloud and manage teh clusters using Kubernetes (k8s).
• Expertise in using Jenkins to deploy code to Google Cloud, create new namespaces, creating docker images and pushing them to container registry of Google Cloud.
• Hands on experience in using configuration management tools like Puppet, Chef and Ansible.
• Expertise in deploying and maintaining Micro services using Docker.
• Good experience in maintaining and developing Docker images for a tech stack including Cassandra, Apache, and several in house written Java services running in Google Cloud Platform (GCP) on Kubernetes.
• Hands-on experience in building/maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker on GCP.
• Implementing and Planning Shared private cloud infrastructure, which involves shared Storage infrastructure and shared VMware infrastructure.
• Has complete understanding of Server Hardware, server to storage connectivity, network connectivity.
• Has complete understanding of FC and ISCSI connectivity to teh Server VMware infrastructure upgrades like ESXi version upgrade, Vcenter upgrade and VMtools upgrade.
• Troubleshooting infrastructure issues with respect to VMware.
• Setting limits on CPU and MEMORY at teh VM level, providing new VMDKs or mapping existing VMDKs to teh clustered VMs from teh infra level and providing RDMS to teh VMs.
• Has noledge on Snapshots, Cloning, and Templates.
• Migrating Virtual Machine from one Host to another Host using VMotion and datastore migrations using Storage Vmotion.
• Creating Virtual Machines and installing Guest OS like Windows 2008/R2, 2012/R2, Windows 2016 and 2019 with ISO or using teh templates.
• Worked on Vmware Power CLI tool to export teh capacity reports and to automate manual tasks like creating portgroups on multiple hosts in teh vcenter, changing passwords etc.
• Worked on backup and replication tools like VEEAM, maintaining and Implementing VEEAM backups as per defined SLAs.
• Do teh PPM (Pro-active and preventive measure) activities on teh existing VMware environments to make it stable and error free.
• Experience in implementing Docker based Continues Integration and Deployment framework.
• Set up a GCP Firewall rules to allow or deny traffic to and from teh VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Setup datadog monitoring across different servers and AWS services.
• Good understanding of TCP/IP stack, basic switching/routing concepts.
• Proficient with Python & Shell Scripting for build automations.
• Strong experience in automating Build & Deployments with Jenkins, Release Automation.
• Extensive experience in using Build Automation tools like ANT, Maven, and Gradle.
• Strong working noledge in developing Restful webservices and Micro Services using Golang
• Good experience on database technology such SQL, PLSQL, PostgreSQL, and MySQL including NoSQL databases.
• Experience in installing, configuring and managing RDBMS databases like MySQL, PostgreSQL, AWS Aurora, and NoSQL databases.
• Install, configure, modify, test & deploy applications on Apache Webserver, Nginx & Tomcat and JBoss Application Servers.
• Experience in Virtualization technologies VMWare, Virtual box, Vagrant for creating virtual machines and provisioning environments.
• Experience in Provisioning, Configuration, and Monitoring and Virtualization management solutions with application/service deployment.
• Experience working on source control tools like GIT/GitHub, perforce on UNIX & Windows Environments migrated subversion repositories to GIT and integrated Eclipse IDE with different versioning tools like Subversion and Git.
• Knowledge of computer applications and scripting like Shell, Python, Ruby, Perl and XML.
• Wrote deployment Automation scripts for multiple .NET and JAVA/J2EE Applications.
• Good noledge on software development with Java, JVM, .Net and Python.
• Involved in Shell and Perl scripts for compilation and deployment processes and automation of builds and Power shell for Windows deployment and Administration.
• Excellent communicative, interpersonal, intuitive, analysis and leadership skills with ability to work efficiently in both independent and teamwork environments.
• Coordinated with teh different Infrastructure Teams to deliver teh service SLAs and to provide quick resolution during high priority incidents
• Good at practicing ITIL Process at delivery, preparing RCA, reports and daily health check templates and creating process documents if there are any required
• Has good experience in handling team operations, build respectful relationships with team members, do consistently acnoledge and appreciates each member's contributions.
• Effectively utilizes each team member to his/her fullest potential Willingness to learn, Self-esteemed and Good team player
• Proven ability to manage complex tasks

TECHNICAL SKILLS

Languages & Scripting: C, Java, C#, PowerShell, Bash, PL/SQL, Perl, Python, Ruby, XML, Splunk

Cloud: AWS EC2, VPC, EBS, SNS, RDS, EBS, Route53, CloudWatch, Cloud Formation AWS Config, S3, KMS, autoscaling, Cloud Trail, Lambda, Microsoft Azure, VMWare, Docker, Virtualization experience (VM Management)

Tools: Hudson, Jenkins, Bamboo, TeamCity, Chef, Puppet, Ansible, Openstack, ANT, Maven, Gradle, Nagios,Selenium, Dell IDRAC, HP ILO, Dell Open manager (OMSA), Windows Power shell and VMware Power CLI to automate daily tasks

Applications Servers: Tomcat APACHE, TomEE, JBOSS, Web Logic & Web Sphere

Tracking Tools: JIRA

Version Control System: Subversion (SVN), GIT

Database: RDBMS, Sybase, Oracle 11g, SQL server, PostgreSQL, MySQL server, NoSQL, Mango DB, AWS Aurora

Operating Systems: Windows, Linux, Unix

PROFESSIONAL EXPERIENCE

Confidential

Sr AWS DevOps Engineer

Responsibilities:

• Experience in creating variousCloud Watchalarms to view teh job run dat took place in AWS batch for different applications across teh teams.
• Setup Docker Orchestration platform Kubernetes for teh deployment of Docker containers on AWS Cloud.
• Experience in application and architecture teams to conduct proof of concept (PoC) and implement teh design in production environment in AWS
• Experience in AWS Scripting and Operations EC2, Confidential, S3, Glacier, VPC and Route53.
• Developed scripts for build, deployment, maintenance, and related tasks using Jenkins, Docker, Python, and Bash.
• Automating environment build and provisioning using virtualization, containerization, and orchestration tools with VM Ware, Docker, Kubernetes, and Jenkins.
• Expertise in automating builds and deployment process using Python and Shell scripts with focus on CI/CD, AWS Cloud Architecture.
• Knowledge and hands-on experience in implementing PaaS, IaaS, SaaS style delivery models inside teh Enterprise (Date Center), and Public Clouds using AWS and Kubernetes.
• Has good insight of Cloud IaaS and PaaS services and good understanding of private, public and Hybrid model clouds
• Implemented and managed Amazon Web services like ELB, EC2,S3, RDS, SNS, Cloud watch, Auto scaling, Route53.cloud formation.
• Created and Managed AWS environment with HA and used teh features EC2, VPC, IAM, ELB, EBS, SNS, cloud watch, S3, creating AMIs and snapshots, RDS, creating security groups, Subnets and Storage Gateway.
• Migrated an On-premise VMware DC to AWS using Lift and shift methods.
• Worked as a DevOps Engineer for a team dat mainly worked closely with many proprietary tools and Open source tools like Jenkins, Gerrit, AWS, JIRA, etc. Used for development and deployment of internal tools and programs.
• Monitored and maintained teh AWSS3 buckets, which contained all teh packets of each build. Each packet had metadata files, which were extracted to proceed with teh flash testing.
• Expertise in designing secure VPC solutions in AWS with teh help of Network ACLs, security groups, public and private network configurations Created S3 buckets and also managed policies for S3 buckets
• Has experience in managing and maintaining IAM policies for clients in AWS, created users and user accounts and assigned profiles, roles to access AWS resources
• Created snapshots and amazon machine images (AMIs) of teh instances for backup and worked on clone instances.
• Has Strong noledge on Container, Dockers and kubernetes Provided technical support by troubleshooting day-to-day issues with various servers on different platforms
• Worked on resolving all levels of severity tickets, system outages and provided Incident Report for teh same.
• Provided 24/7 on-call production support both onsite and remote Virtualization (VMware)
• Has experience in implementing, configuring and managing Private clouds based on VMware Virtualization technology.
• Played a very crucial role in building community cloud infra, was involved in teh project right from staging and power burn test to design teh complete architecture including network, storage, Servers & backup.
• Built and optimized virtualization environment using VMware Vcenter Server (5.5, 6.0, 6.5, and 6.7) and Esxi (5.5, 6.0, 6.5, and 6.7).
• Installing and Upgrading V-center servers and troubleshooting Vcenters when required. Has experience in both windows and Appliance based vcenter servers.
• Configured Datacentre, VMware Clusters, Resource pool and implemented virtualization features like VMware DRS, High Availability and EVC at teh cluster level.
• Created and managed virtual machines using ISO, OVA/OVFs and templates and migration of VMs using Vmotion and Storage Vmotion.
• Worked on cloning VMs and has insight on creating, deleting snapshots and backend consolidations. Configured VMware vCenter Alarms for data store and host memory and CPU usage.
• Creation of virtual switches(standard & distributed) port groups, also setting up layer 2 security policies for virtual networks
• Has teh hands-on-experience on P2V and V2V conversions, VMware OVF tool to export and convert OVAs/OVFs.
• Upgrading ESXi using Update manager or by Offline bundles.
• Troubleshoot virtual machine performance issues caused due to teh compute, storage or network by coordinating with teh other technical teams
• Analyse teh performance and health of physical servers (ESXI and Windows servers) and monitor teh virtual (VMware) environment to optimize and assist with recommendations, incident response, and problem resolution.
• Has exposure and worked on Hyper Converged Infrastructure like Nutanix.

Environment: Aws, Kubernetes, Docker, RedHat Linux 7.x, DEV, QA, CERT, UAT, PROD, CentOS 5.x, 6.x, 7, Elasticsearch, Logstash& Kibana (ELK), ansible, Jenkins, Github, Ruby, Shell, TFS, JIRA, Python, Oracle, WebLogic Server 11g, Apache Tomcat, Apache Mesos, Virtualization, Apache HTTP server, Vm Ware, Cloud Watch. GCP, AWS, Splunk, Chef, Puppet, PL/SQL, AWS Aurora, PostgreSQL, Maven, Nagios, MongoDB, Jira, GIT.

Confidential

Sr. AWS DevOps Engineer

Responsibilities:

• Automating AWS infrastructure using Chef, Docker, and Jenkins and managed software
• Administrating GIT server and Continuous Integration system like Jenkins
• Designing architectural diagrams for different applications before migrating into Amazon cloud for flexible, cost- effective, reliable, scalable, high-performance and secured.
• Deploying Docker containerized applications using Kubernetes in Google Cloud Platform (GCP).
• Building servers using AWS: Importing volumes, launching EC2, creating security groups, auto-scaling, load balancers, Route 53, SES and SNS in teh defined virtual private connection.
• Creating alarms in Cloud Watch service for monitoring teh server’s performance, CPU Utilization, disk usage etc.
• Defining AWS Security Groups, which acted as virtual firewalls dat controlled teh traffic, allowed to reach one or more AWS EC2 instances.
• Deploying EC2 instances, ELBs by using Cloud Formation in AWS.
• Managing S3 buckets and bucket policies.
• Managing Docker Containers, Kubernetes Clusters and implemented load balanced, highly available, fault-tolerant Kubernetes infrastructure and created Jenkins jobs to deploy applications to Kubernetes Cluster.
• Configuring applications dat run multi-container Docker applications by utilizing teh Docker-Compose tool dat uses a file configured in YAML format.
• Using Kubernetes to manage containerized applications using its nodes, Config-Maps, selector, Services and deployed application containers as Pods.
• Configuring and maintaining Jenkins to implement teh CI/CD process and integrated tool with GIT, Maven, Nexus repository, Docker, Nagios and Jira for end-to-end automation
• Working in Ansible for a Configuration Management (CM) to automate daily tasks
• Analysing and fine-tuning long running DB PL/SQL queries.
• Implementing Exceptional Handling for all PL/SQL procedures.
• Planning, building and optimizing Aurora PostgreSQL and MySQL database environments.
• Managing and maintaining development, test, and production systems.
• Troubleshooting issues by viewing logs monitoring. In addition, applying periodic updates, patches to servers.
• Setup Jenkins jobs for Continuous integration process and to execute test cases.
• Developing a Continuous Delivery (CD) pipeline with Jenkins by writing groovy scripts
• Designing and developing Cloud Service projects and deployed to Web Apps, PaaS, and IaaS.
• Working on PostgreSQL database for multiple environments and projects.
• Working on Continuous Integration/Deployment with Azure Pipelines. Deployed teh application in various environments like DEV, STAG, PERF, and PROD using Octopus Deploy for various release versions.

Environment: GCP, AWS, Splunk, ELK (Elasticsearch, Logstash and Kibana), Kubernetes, Docker, Chef, Ansible, Puppet, AWS, PL/SQL, AWS Aurora, PostgreSQL, Jenkins, Maven, Nagios, MongoDB, Jira, GIT

Confidential

Sr Cloud DevOps Engineer

Responsibilities:

• Involved in development and implementation of complicated and vast on-premises Hadoop data centre data migration project to Amazon Web Services (AWS Cloud).
• As member of DevOps group, redefined processes and implemented tools for software builds, patch creation, source control, and release tracking and reporting, on UNIX platform.
• Implemented and managed continuous delivery systems and methodologies on AWS, used GIT as source code repositories.
• Cloud infrastructure maintenance effort using a combination of Jenkins, Chef and Terraform for automating CICD pipeline in AWS
• Deployment management skills for deployment and environment management architecture and process creation. Used Devops tool Puppet in provisioning AWS machines.
• Built CI/CD pipeline for DEV, QA and UAT environment, automate teh build, and deploy processes.
• Responsible in managing all aspects of teh software configuration management process including code compilation, packaging, deployment, release methodology and application configurations with remote execution to ensure zero downtime and shortened deployment cycles via automated deployments.
• Assisted developers in integrating their code with teh mainstream
• Used Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
• Profusely worked on Version control tools like Subversion, GIT, clear case to track changes made by different people in source code. Familiar with Atlassian tool stack such as Jira, Jenkins, GIT and confluence.
• Involved in Troubleshooting, Security, Backup, Disaster Recovery, Performance Monitoring and Fine-tuning on Red Hat Linux Systems. Created new PL/SQL Stored Procedures as per business requirements.
• Worked on a project to migrate dataset from MS SQL/Oracle to Aurora PostgreSQL on AWS using Data Migration Service.
• Worked with GIT and Subversion to manage source code.
• Maintained teh various project repositories using teh GitHub and GIT.
• Shell scripting for building and deploying java application to target environments.
• Coordinated with different teams before and after teh production deployments
• Provided 24/7 on call support for emergency site maintenance and immediate build and install requests.

Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), Git Version Control, CloudFront, Ansible, Cloud Watch, Elastic Search, CloudFormation, Java, Docker, PL/SQL, AWS Aurora, PostgreSQL, Jira, Jenkins, AWS CLI, AWS Auto Scaling, Windows.

Confidential

DevOps System Engineer

Responsibilities:

• Created Docker images using a Dockerfile, worked on Docker container snapshots, removing images and managing Docker volumes.
• Maintained and developed Docker images for a tech stack including Cassandra, Kafka, Apache, and several in house written Java services running in Google Cloud Platform (GCP) on Kubernetes.
• Coordinated with developers for establishing and applying appropriate branching, labelling/naming conventions using Subversion (SVN) and GIT source control.
• Responsible for design and maintenance of teh Git Stash Repositories, views, and teh access. Used automated code check-outs in Git and created branches
• Utilized Kubernetes and Docker for teh runtime environment for teh CI/CD system to build, test, and deploy. Created Jenkins jobs to deploy applications to Kubernetes Cluster.
• Deployed various databased and applications using Kubernetes cluster management, some of teh services are Redis, Nginx etc.
• Built Jenkins pipeline to drive all microservices builds out to teh Docker registry and then deployed to Kubernetes, created pods, and managed using Kubernetes.
• Worked on Deployment Automation of all microservices to pull image from Private Docker registry and deploy to Kubernetes Cluster.
• Used Kubernetes - an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container-centric infrastructure.
• Used Kubernetes for automated deployments, scaling and management of containerized applications across clusters of hosts.
• Used Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple namespace versions.
• Created, managed, and performed container-based deployments using Docker images containing Middleware and Applications together and Evaluated Kubernetes for Docker container orchestration.
• Used Jenkins and pipelines to drive all microservices builds out to teh Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Used Google Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts.
• Used Kubernetes to deploy and manage containers (pods) on Google Container Engine (GKE).
• Developed different environments of different applications on Google cloud by provisioning Kubernetes clusters on GCE instances and GKE using Docker, Ruby/Bash, and Python.
• Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments, Replicasets, nodes etc.
• Implemented a production ready, load balanced, available, and fault tolerant Kubernetes infrastructure.
• Scheduled, deployed, and managed container replicas onto a node cluster using Kubernetes.
• Created and maintained Ant build. CXML’s and Maven Pom.xmls for performing teh builds.
• Developed build scripts using ANT and Migrated to MAVEN as teh build tools for teh creation of teh build artifacts like war or ear files.
• Automated teh cloud deployments using Puppet and AWS Cloud Formation Templates.
• Used Puppet to manage Web Applications, Config Files, Data Base, Commands, Users Mount Points, and Packages.
• Managed servers on teh Amazon Web Services (AWS) platform instances using Puppet, F Configuration Management.
• Written CloudFormation templates and deployed AWS resources using it.
• Created and managed cloud VMs with AWS EC2 Command line clients and AWS management console.
• Built scripts on AWS cloud for scheduling EC2 auto scaling load balancer with Python sdk.
• Created alarms and notifications for EC2, Lambda instances using Cloud Watch.
• Migrated applications from internal data center to AWS.
• Created AWS Launch configurations based on customized AMI and use dis launch configuration to configure auto scaling groups and Implemented AWS solutions using EC2, S3, RDS, IAM, DynamoDB, Route53, EBS, Elastic Load Balancer, Auto scaling groups.
• Virtualized teh servers using teh Docker for teh test environments and dev-environments needs. Also, configuration automation using Docker containers.
• Implemented teh setup for Master slave architecture to improve teh Performance of Jenkins.
• Used Jenkins for Continuous Integration and deployment into Tomcat/Web Logic Application Server.
• Configured Bitbucket with Jenkins and schedule jobs using Poll SCM option.
• Coordinated and assisted teh developers in establishing and applying appropriate branching, labelling/naming conventions using GIT source control.
• Used Jira as ticket tracking and workflow tool.
• Worked on setting up Mongo DB, MySQL, SQL, Aurora on AWS.

Environment: Docker, Kubernetes, Puppet, Ansible, Bitbucket, Jira, Datadog, AWS S3, Ec2 Autoscaling, EBS, RDS, GIT, ANT, Jenkins, Maven, Jira, Apache Tomcat, Bash, Perl, Nexus, Bit Bucket, Junit, Python, Groovy