GIRIDHAR GUDURU

ad11tw@r.postjobfree.com

773-***-****

Linkedin.com/in/giridharguduru

PROFESSIONAL SUMMARY

● Having 9+ years of experience in software development in Cloud Administration, Configuration Management Automation and DevOps Culture.

● Familiar with Software Development Life Cycle (SDLC) processes including requirement analysis, design specification, coding and testing of enterprise applications.

● Strong experience on DevOps concepts like Build automation, Continuous Integration (CI), Continuous Deployment (CD), Infrastructure as code technologies and Cloud computing.

● Experience in performance monitoring, security, troubleshooting, backup, disaster recovery, maintenance, and support of Linux systems.

● Experience in Cloud technology Amazon Web services (AWS) and conduct system designs and cost studies and recommend cost-effective cloud solutions.

● Deployed infrastructure on AWS utilizing services such as EC2, ECS, EKS, RDS, VPC and Managed Network and Security, Route 53, Direct Connect, IAM, Cloud Formation, AWS WAF, AWS OpsWorks (Automate operations), Elastic Beanstalk, AWS S3, Glacier and Cloud Watch Monitoring Management.

● Ensured data integrity and data security on AWS technology by implementing AWS best practices and responsible for Implementation of Cloud Migration and enabling Cloud Adoption for new Projects.

● Experience with AWS services like Cloud Formation, Cloud Watch, Code Build, Code Commit, Code Deploy, Code Pipeline, EC2, EC2 Container Service ECS, EKS, EBS, Elastic Beanstalk, IAM, Security Groups, Route 53, S3, CloudFront, SNS, VPCs, DynamoDB, Lambda.

● Monitored RDS instances, Elastic Cache, and Elastic Load Balancer for performance and availability and used Cloud Watch to monitor instances.

● Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.

● Leveraged AWS cloud services such as EC2, auto-scaling, and VPC to build secure, highly scalable, and flexible systems that handled expected and unexpected load bursts.

● Involved in planning, designing, and configuring multi-region failover with AWS Route53.

● Implemented Docker automation solution for Continuous Integration / Continuous Delivery model. Managed Docker orchestration and Docker containerization using Kubernetes.

● Designed, built, and automated new solutions centered on the Kubernetes container orchestration platform and its ecosystem of projects.

● Hands-on experience in Azure Cloud Services (PaaS & IaaS), Storage, Web Apps, Active Directory, Azure Container Service, VPN Gateway, Content Delivery Management, Traffic Manager, Azure Monitoring, OMS, Key Vault, Visual Studio Online (VSO) and SQL Azure.

● Experienced in troubleshooting, Configuring, and deploying various enterprise applications in WebLogic, WebSphere, and Tomcat.

● Supported 1200+ AWS Cloud instances and used AWS command line Interface to manage and configure various AWS products.

● Experience in real-time monitoring and alerting of applications deployed in AWS using Cloud Watch, Nagios, ELK stack and Splunk and used Splunk and AppDynamics for performance and log monitoring, creating dashboards and alerts for Splunk.

● Experience in architecting Azure IaaS, Azure Hybrid Identity, Azure Governance, Azure web jobs, Azure search.

● Experienced with Docker container service. Dockerized applications by creating Docker images from Docker files.

● Experience in maintaining and executing build scripts to automate development and production builds.

● Expertise in Querying RDBMS such as Oracle, MYSQL, and SQL Server by using SQL for data integrity and another open-source DBMS like Cassandra.

● Worked on integrating GIT into the Continuous Integration (CI) environment along with Jenkins and hands-on experience with testing frameworks Junit, Selenium, and cucumber.js for setup, build and delivery pipeline.

● Expertise in Ansible Playbook, YAML for Maintaining Roles, Inventory Files, and Groups Variables and worked on distributed version control system GIT for data integrity.

● Extensive experience and highly proficient in using writing scripts in Maven or build management and Jenkins for managing CI/CD pipeline.

● Deployed web applications behind AWS CloudFront and added a layer of security via AWS WAF.

● Built a monitoring and metric gathering system around OpenShift using Sensu, Grafana, and Prometheus. SKILL SET

-DevOps -Configuration Management -AWS-Cloud

Administrator

-Technical troubleshooting - Infrastructure Automation -Cloud Expert TECHNICAL SKILLS

Infrastructure as a Service AWS, Azure, Google Cloud Platform Containerization Tools Docker, Kubernetes, Mesos, Docker Swarm Configuration Management Tools Terraform, Chef, Ansible, Puppet, Salt Stack Build Tools Maven, ANT, Hudson, Jenkins, XL Deploy, XL Release AWS Cloud Services EC2, VPC, S3, Route 53, SNS, IAM, CloudFront, EBS, AWS WAF, ELB, ECS, SES, Cloud trail, Cloud Watch, Auto Scaling, SQS, Elastic Beanstalk, ALB.

Web Technologies HTML, Java script, jQuery, Bootstrap, XML, JSON, XSD, XSL, XPATH

Monitoring Tools ELK, Nagios, Splunk, Grafana, SonarQube, Dynatrace, AppDynamics Scripts/ Languages UNIX, HTML, C, PHP, Shell Scripting, Ruby, YAML, Python, Ruby, Perl

Databases Oracle, MongoDB, SQL Server, MS SQL, NOSQL, Cassandra SCM/Version Control Tools GIT, GitHub, SVN, Bitbucket Automation Container Docker, Kubernetes

Continuous Integration Tools Jenkins, Hudson, Bamboo, TeamCity SDLC Agile, Scrum

Bug Tracking Tools JIRA, Bugzilla, HP Quality Centre, Remedy Operating System UNIX, Linux (Ubuntu, Debian, RHEL, Centos), Windows EXPERIENCE

Amazon, Bellevue, Washington April 2022 - Present

DevOps Engineer

● Troubleshoot, reproduce, and solve challenging operational issues in a complex enterprise environment running fleets of server instances interacting with multiple services across several AWS regions.

● Worked on developing API’s using Kubernetes to manage and specify the copies of the containers to run the actual servers in the cloud environment.

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● Managed deployments in EKS managed Kubernetes, setup, multimode clusters and deployed containerize applications.

● Implemented a production ready, load balanced, highly available, fault tolerant, autoscaling Kubernetes cloud infrastructure and micro service container orchestration.

● Use of docker registry and Kubernetes to manage the micro services for development of continuous integration and continuous delivery.

● Manage containerized applications using EKS nodes, Config Maps, Services, and deployed application containers as pods.

● Setup infrastructure and application monitoring and alerts firing using Prometheus and Grafana.

● Identify and develop process, tools, automation, and software changes to address top security, provisioning, operation, and observability requirements.

● Worked for Ordering Document Storage System Team (Ordering Cart) of Amazon.com portal.

● Collaborate with software development leadership and product management to define the Ordering cart requirements.

● Execute operational tasks in Production environments with safety checks.

● Involved in resolving SAS (software Assurance Service tool) risks for the Apollo environments. Canon USA, Irvine, CA Dec 2020 - Mar 2022

AWS Cloud DevOps Engineer

● Architected application design and developed scalable, fault tolerant solutions for applications moving from on- premises to AWS cloud.

● Worked with Amazon Cloud Administration and provisioning services like: IAM, EC2, ECS, S3, EBS, VPC, ELB, SES, SNS, RDS, Route 53, Auto scaling, CloudFront, Cloud Watch, Cloud Trail, Cloud Formation, Security Groups.

● Implemented AWS SSO for managing the access to AWS accounts and business applications centrally and

● for users and user groups.

● Created CloudFormation template stacks to automate for building cloud resources using yaml files.

● Worked on resources like Amazon RDS, ECS clusters which hosts production servers are hosted in private subnets in a VPC, Security to infrastructure is achieved through NACLs, VPC flow logs, Nat gateways, Bastion Hosts, MFA, LDAP implementation.

● Create data ingestion modules using AWS Glue for loading data in various layers in S3 and reporting using Athena and Quick sight for internal and external application load balancer logs.

● Setup the AWS EFS/NFS as the shared file system for ECS clustered Product nodes.

● Created customized AMI’s to use in launch configuration to configure auto-scaling groups and setup Automatic scaling for the ability to increase or decrease the desired count of tasks in the ECS service.

● Setup Jenkins master/slave architecture on a window server adding the necessary plugins and adding more slaves to support scalability and agility to use Jenkins as pipeline as service.

● Worked with Jenkins CI/CD pipeline that involves Git repository (Code Beamer), windows build stages and post build steps like notification and continuous delivery in the Dev and UAT environment.

● Implemented the AWS SES service to replace the conventional SMTP server to send out mails to the users from within the application.

● Setup the AWS Directory Service to access the windows workloads present in Microsoft Azure Directory Services.

● Integrate Amazon Cloud Watch with ECS logs for monitoring the log files and track metrics.

● Developed Python Lambda functions to manage various resources with tagging EBS volumes and volume backup snapshots. Run scheduled Lambda Functions to stop/restart EC2 instances to cut the cost of Cloud operation. Used Amazon RDS to manage, create snapshots, and automate backup of databases. Integrated and Configured Elastic Load Balancers with auto scaling group.

● Worked Used AWS CodePipeline to design and implement a Continuous Integration and Deployment with ECR, Code Commit and Code Deploy.

● Performed weekly and on call deployments of application codes to production environments. Documentation – write SOP’s, operation processes and policies.

● Implemented the setup of Gremlin for Chaos engineering platform to test the ECS Cluster.

● Implemented DNS service through Route 53 on ELBs to achieve secured connection via https. Gained good experience in architecting and configuring secure VPC through private and public networks in 4

AWS.

● Initiating alarms in CloudWatch service for monitoring the server's performance, CPU Utilization, disk usage etc to take recommended actions for better performance. Choice Hotels International Inc, Scottsdale, AZ June 2019- June 2020 Sr. AWS Cloud/DevOps Engineer

● Wear many hats: deployments and automation engineer, setup infrastructure on AWS, performance analyst, service architect, capacity planner, tools developer, performance monitoring, project planner.

● Implemented a production ready, load balanced, highly available, and fault tolerant Kubernetes infrastructure.

● Involved in deployment of Microservices from a Java based legacy monolith database hospitality domain application. Refactoring of monolithic applications to Microservices and Component based architectures.

● Deployed the microservices on AWS EKS service along with other testing and network frameworks on the Kubernetes cluster. Worked on setting up ECS cluster for the QA team automation framework for the QAT environment.

● Managed multiple AWS accounts with multiple VPC’s for both production and non-production where primary objectives included automation, build out, integration and cost control.

● Used Microservices architecture, with Spring Boot based services interacting through a combination of REST and Spring Boot.

● Worked on deployment automation of all the microservices to pull images from the private docker registry ECR And deploy to Kubernetes cluster using Jenkins.

● Created Clusters using Kubernetes and worked on creating many pods, replication controllers, replica sets, services, deployments, labels, health checks and ingress by writing Yaml files.

● Worked on setting up the Istio framework for the EKS cluster for service mesh and monitoring framework using AppDynamics for container logs on EKS clusters. Setup logging framework on EKS using Elastic filebeat for application logs.

● Designed and implemented a continuous build-test-deployment (CI/CD) system with multiple component pipelines using Jenkins to support weekly releases and out-of-cycle releases based on business needs.

● Systems design and architecture to meet capacity and throughput demands, as well as performance requirements.

● Scheduled, deployed, and managed container replicas onto a node cluster using Kubernetes and deployed Docker Containers through Kubernetes to manage the Microservices using its Nodes, Pods, ConfigMaps, Services.

● Expertise in setting up and building AWS cloud infrastructure resources like EC2, EBS, S3, RDS, ELB, Auto Scaling, Cloud Formation, Elastic Cache, SQS, SNS, Cloud watch metrics.

● Implemented Infrastructure automation through Ansible, for auto provisioning, Code deployments, software installation and configuration updates.

● Designed and implemented the complete end to end Microservices pipeline on EC2 instances from

● Dev environment to QA env and Prod environment with manual approval gate implementation.

● Worked on a completely modular structure implementation of Jenkins Shared Library useful for deploying on both EC2 instances and containers on EKS.

● Created Pods using Kubernetes and worked with Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes.

● Worked on setting up the Jenkins instances and configuring the slaves specifically used for the CICD purposes of the company.

● Worked on developing APIs using Kubernetes to manage and specify the copies of the containers to run the actual servers in the cloud environment.

● Hands-on experience in creating Docker images using Docker File, worked on Docker container snapshots, removing images, and managing Docker volumes and implemented Docker automation.

● Provided application security in AWS environment using AWS WAF service, including creating custom rules to allow, block, count requests from IP or strings that appear in request, configured AWS WAF to 5

recognize and block web applications security risks such as SQL Injection attacks and Cross Site Scripting (XSS) and monitor these rules and traffic.

● Experience with container-based deployments using Docker, working with Docker images, Docker hub and Docker registries, installation and configuring Kubernetes and clustering them.

● Worked on Amazon API gateway in creating endpoints for various applications and Implemented DNS service.

● (Route 53) in effectively coordinating the load balancing, fail-over and scaling functions.

● Experience in creating Canary Deployments using Kubernetes flagger operator, automation the promotion of canary deployments utilizing Istio’s traffic shifting and Prometheus metrics to analyze an application’s behavior during a controlled rollout.

● Setup Master Control Plane and the worker nodes for the AWS EKS clusters using Kube2iam for AWS Kubernetes cluster authentication.

● Worked on Ansible modules for development on infrastructure of the company setting up monitoring services such as Sensu server and AppDynamics.

● Implemented Jenkins as a full cycle continuous delivery tool involving package creation, distribution, and Deployment on Tomcat application servers via shell scripts embedded into Jenkins jobs.

● Automated weekly releases with Maven scripting for compiling Java code, debugging and placing builds into Maven repository. Involved in Nexus artifactory repository Managers for Maven.

● Worked on Elasticsearch Logstash Kibana for forwarding the application logs to Kibana dashboards.

● Worked on upgrading Sensu monitoring tool from 1.x to new Sensu-Go (5.x) version for monitoring the infrastructure.

● Hands-on experience working with the release and deployment of large-scale Java/J2EE Web applications.

● Experienced in Administration of Production, Development and Test environments carrying Windows, and Ubuntu.

● Deployed SonarQube-Developer 8.1 on the Lower environments as well as Prod and integrated SonarQube scanner in the existing Jenkins build pipelines for code analysis. UShip, Austin, TX Jan 19 - March 19

AWS Cloud/DevOps Engineer

● Managed several IAM accounts in AWS for users with specific policies attached to each of them, implemented Multi Factor Authentication to meet security compliance.

● Worked on Terraform for automating VPCs, ELBs, security groups, SQS queues, S3 Buckets, and continuing to replace the rest of our infrastructure. Using Terraform as a tool, Managed different infrastructure resources Cloud, VMware, BareMetal Servers, and Docker containers. Configured IAM roles for EC2 instances and assigned policies granting specific level access to S3 buckets.

● Development of AWS Virtual Private Cloud (VPC) with advanced security features including security groups and network access control lists to enable inbound and outbound filtering.

● Worked on Infrastructure provisioning for AWS using Infrastructure as Code.

● Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation fusing Jenkins along with Python and Shell scripts to automate routine jobs.

● Worked on container orchestration tool Kubernetes to manage clusters and pods in testing environments.

● Configured Network security groups to control inbound and outbound traffic to the internal network Interfaces, Subnets and Virtual Machines.

● Worked on converting existing AWS Infrastructure to Server less architecture (AWS Lambda, Kinesis), deploying via Terraform and AWS Cloud Formation templates.

● Implemented Terraform modules for deployment of various applications across multiple cloud providers and managing infrastructure.

● Used Bash and Python included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs.

● Launching and configuring Amazon EC2 Cloud Servers using AMI's (Linux/Ubuntu) and configuring the servers for specified applications.

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● Involved in building and maintaining Highly secure multi-zone AWS cloud infrastructure utilizing Ansible with AWS Cloud Formation and Jenkins for continuous integration.

● Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP. Utilized Kubernetes and docker for the runtime environment of the CI/CD system to build, test deploy.

● Worked on AWS Code Build and Code Commit to store and compile the source code and to host private Git repositories and configured the entire CI/CD process using Code Pipeline and Code Deploy.

● Experience in creating Amazon machine images (AMIs) and snapshots of the instances for backup and creating clone instances. Expertise in using Notification services like SNS to receive any notifications whenever there is an action that is planned to be executed.

● Designed highly available, cost effective and fault tolerant systems using multiple EC2 instances, Auto Scaling, Elastic Load Balance, AMIs and Glacier for QA and UAT environments.

● Used AWS Elastic Beanstalk for deploying and scaling web applications and services developed Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache, Nginx and IIS.

● Experienced in maintaining and configuring OpenShift as part of scaling the instances running on AWS.

● Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

● Installed Jenkins on Linux, created master and slave configuration, and drove all microservices builds out to the Docker registry. Build scripts using Maven in Jenkins to move from one environment to another.

● Created several customized Cloud Formation Templates in AWS which has specific configurations for subnets, security groups, NACLs, NAT Gateways, VPC, EC2, ELB and other Services as per the requirement.

● Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments.

● Involved in standardizing Splunk forwarder deployment, configuration, and maintenance across Windows Servers.

● Created dashboard from search, Scheduled searches, and Inline search vs scheduled searches in a dashboard.

● Expertise in RDBMS concepts and working knowledge on Oracle and SQL Server and used SQL extensively to write queries to check Data integrity.

● Worked with various teams to ensure automated test efforts are tightly integrated with the build systems.

● Experienced in writing Lambda functions to implement tasks like taking EBS volume snapshots in regular intervals and copying the files in between the S3 buckets only when the actions are triggered.

● Configured Jira as defect tracking system and configured various workflows, customizations, and plug-ins for the Jira bug/issue tracker.

● Experienced in developing Python scripts to automate the tasks as part of Automation and deployment.

● Implemented CI CD process using cloud formation and terraform templates and containerized the entire infrastructure using docker setup in an AWS cloud-based environment.

● Resolved complex problems with Merging, Branching and Configuration Management of SCM systems.

● Good understanding of the principles and best practices of software development methodologies such as Agile, Scrum and Waterfall.

Home Depot, Marietta, GA Mar 17 - Dec 18

Cloud DevOps Engineer

● Involved in designing and deploying multitude applications utilizing almost all the AWS stack focusing on high- availability, fault-tolerance, and auto-scaling in AWS Cloud Formation.

● Managed AWS infrastructure provisioning (S3, ELB, EC2, RDS, Route 53, IAM, security groups - CIDR, VPC, NAT) and deployment and EC2 Install with CentOS, Ubuntu and RHEL 6.

● Implemented continuous integration and deployment using Blue-Green Deployment in AWS with AWS developer tools.

● Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments. Experience in working with Docker hub, creating Docker images, and handling multiple 7

images primarily for middleware installations and domain configurations.

● End to End solution for hosting the web application on AWS cloud with integration to S3 buckets.

● Designed and deployed AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer (ELB), Auto- scaling groups, Opsworks.

● Worked on Migration from AWS Cloud to Azure and designed terraform templates and modules to build the entire Azure infrastructure.

● Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets. Involved in migrating on-premises cloud storage to Windows Azure using Azure Site Recovery and Azure backups.

● Experience in using Azure Media and Content delivery, Azure Networking, Azure Hybrid integration, Azure Identity and Access Management, Azure Data Factory and Storage, Azure compute services and Azure Web apps.

● Designed, Architected, and implemented the Platform as a service built for multi-tenant platforms within the Hybrid cloud infrastructure within AWS and Azure.

● Setting up Virtual networks for site-to-site, Point-to- Site and Express Route Circuits in Azure.

● Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.

● Responsible for implementing end to end automation using XL release and XL deploy tools for Test and Production pipelines.

● Automated application deployment in the cloud using Docker technology using Elastic Container Service Scheduler.

● Worked on monitoring tools and code coverage tools like JaCoCo, Nagios, Splunk, and Amazon Cloud Watch, SonarQube, to maintain various systems in different environments.

● Involved in building and maintaining Highly Available secure multi-zone AWS cloud infrastructure utilizing Ansible with AWS Cloud Formation and Jenkins for continuous integration.

● Created Docker images using a Dockerfile, created docker clusters and maintained the swarm setup using Kubernetes Orchestration for cloud-based applications. Extensively worked with Scheduling, deploying, managing container replicas onto a node cluster using Kubernetes and experienced in creating Kubernetes clusters work with Frameworks running on the same cluster resources.

● Worked with OpenShift platform in managing Docker containers and Kubernetes Clusters.

● Worked on Deployment Automation of all microservices to pull the image from Private Docker registry and deploy to Kubernetes Cluster.

Built a deployment pipeline for deploying tagged versions of applications to AWS Beanstalk using JenkinsCI.

● Used Docker to containerize custom web applications and deployed on Digital Ocean with Ubuntu instances through SWARM Cluster and automated application deployment in cloud using Docker HUB, Docker Swarm, and Vagrant.

● Worked on open-source server software such as NGINX, RabbitMQ, Redis, and Elasticsearch.

● Built a monitoring and metric gathering system around OpenShift using Sensu, Grafana and Prometheus.

● Used Atlassian products like JIRA for issue tracking and code integration to plan and collaborate, used Dev tools to host, review, test, and deploy team's Git and Mercurial code.

● Created Ansible with multiple modules as per component like Kafka, Zookeepers, MySQL, Logstash, HTTP Collectors & Schema registry to configure EC2 instances to create/update Kafka cluster.

● Migrated pipelines built from Bamboo to Jenkins and integrated them with Stash and JIRA.

● Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy.

● Built and maintained Elasticsearch, Logstash and Kibana (ELK) stack to centrally collect logs that are used to monitor applications. Pipelined Application Logs from App Servers to Elasticsearch (ELK Stack) through Logstash.

● Experienced using different log monitoring tools like Splunk, ELK to see logs information, monitor, and get the health & security notifications from nodes.

● Wrote Python scripts for pushing data from DynamoDB to MySQL Database. Also created and maintained the Python deployment scripts for Web Sphere web application server.

● Experience in working with deployment tools such as Mesos, OpenStack and salt. 8

● Responsible for installation & configuration of Jenkins to support various Java builds and Jenkins plugins to automate continuous builds and publishing Docker images to the Nexus repository. Good experience in understanding of basic networking firewall, open ports, DNS & DHCP.

● Used Ansible to deploy ELK for automating continuous deployment (CD) and configured Nodes and deployment failure reporting.

● Experience writing automated integrated tests against REST API (synchronous and asynchronous calls) using high-level languages.

● Created indexes for various statistical parameters on Elasticsearch and generated visualization using Kibana.

● Involved in developing custom scripts using Python, JSON, Ruby, PowerShell, YAML, Perl, Shell

(bash) to automate jobs.

● Worked on Jenkins, GitHub, Artifactory and all internal build systems for the core development team on an Enterprise-level Java-based cloud orchestration/automation tool.

● Developed Perl and shell scripts for automation of the build and release process.

● Worked extensively with MAVEN build tools for writing pom.xml files respectively.

● Deployed and managed web services with Tomcat and JBoss. Provided end-user training for all Tortoise SVN, JIRA users to effectively use the tool.

Symantec, Mountain View, CA Jul 16 - Mar 17

AWS DevOps Engineer

● Created and configured AWS EC2 instances using preconfigured templates such as AMI, RHEL, Centos, Ubuntu as well as used corporate based VM images which includes complete packages to run build and test in those EC2 Instances.

● Setup and build AWS cloud infrastructure resources like EC2, EBS, S3, VPC, RDS, ELB, Auto Scaling, Cloud Formation, Elastic Cache, Cloud Watch, SNS, AWS Import/Export.

● Design of Cloud architectures for customers looking to migrate or develop new PAAS, IAAS, or hybrid solutions utilizing AWS.

● Triggered various Lambda services using Python and Java for automating some of the tasks.

● Experience in designing and deploying AWS Solutions using EC2, S3, EBS, an Elastic Load Balancer (ELB) and auto scaling groups.

● Worked at optimizing volumes and EC2 instances and created multiple VPC instances.

● Worked on Power DNS on the AWS cloud and maintained it with the MYSQL database.

● Extensively worked with Scheduling, deploying, managing container replicas onto a node cluster using Kubernetes and experienced in creating Kubernetes clusters work with frameworks running on the same cluster resources.

● Implemented build stage to build the Microservices and push the docker container image to the private Docker registry.

● Deployed and configured Elasticsearch, Logstash, and Kibana (ELK) for log analytics, full-text search, application monitoring in integration with AWS Lambda and CloudWatch. Then store those logs and metric into an S3 bucket using a Lambda function.

● Configured an AWS Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources within the Amazon RDS Oracle DB cluster.

● Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages. Scheduled, deployed, and managed Container replicas onto a node cluster using Kubernetes.

● Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

● Build applications around Microservices Architecture, defined through Docker Compose file and setup SWARM

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