Devops Engineer Application Developer

Ankita Jayswal

Cell : 669-***-****

***************@*****.***

CLOUD/ SRE / AWS / DEVOPS ENGINEER / DevSecOps

https://www.linkedin.com/in/ankita-jayswal-12461b1a9 SUMMARY:

• Around 8+ years of experience in IT industry comprising of delivery management, design, development, release & deployment, and cloud implementation.

• 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

• Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and kubernetes.

• Lead transition from manual configuration and deployment to ‘infrastructure as code’ using Chef, including design and implementation of cookbooks and tooling

• Built and managed a large deployment of RedHat Linux instances systems with Chef Automation and

• Implemented automated local user provisioning VMs created in Openstack and AWS cloud through Chef Recipes.

• Refactoring of monolithic applications to a Microservices and Component based architectures.

• Worked on deployment automation of all the micro services to pull image from the private docker registry and deploy to docker swarm cluster using Ansible.

• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP.

• Experience of the full Software Development Life Cycle (SDLC) and Methodologies & Validations to ensure the Quality Assurance Control.

• Experience in IT industry as DevOps/ Agile Operations, Linux Administrator, Build/Release Management, Software Integration, Configuration, Release Engineer, Change/Incident Management, AWS, AZURE & Open source technologies and Cloud Management.

• Automating environment build and provisioning using virtualization, containerization and orchestration tools with Docker, VM Ware, AWS, Vagrant, Kubernetes and OpenShift.

• Experience in provisioning Kubernetes cluster and deploying and maintaining and Scaling workloads.

• Experience on DevOps tools such as Chef, Vagrant, Virtual Box, Puppet, Ansible, Jenkins, Maven, ANT, and Docker.

• Experience on version control systems like Subversion, GIT, IBM clear case UCM and used Source code management client tools like Visual SVN, Tortoise SVN, UberSVN, Source Tree, Git Bash, GitHub, GitLab, Git GUI and other command line applications.

• Experience in Infrastructure Development and Operations involving AWS Cloud platforms, EC2, EBS, S3, VPC, RDS, SES, ELB, Auto scaling, Cloud Front, Cloud Formation, Elastic Cache, Cloud Watch, SNS.

• Strong Experience on AWS platform and its dimensions of scalability including VPC, EC2, ELB, S3, and EBS, ROUTE 53.

• Knowledge in design and configuration of Azure for automation solution development for Microsoft POC engagements, Azure backup, Azure site recovery, IaaS.

• Worked in SCM tools - Chef and Puppet for Deployment on Multiple platforms.

• Implemented continuous integration with Jenkins, Build Forge, TeamCity, Hudson and Visual BuildPro and End-to- End automation for all Build and deployments.

• The engineer will work with all the HPC technologies such as multiprocessing, large clusters of systems, extremely large storage to name a few and be involved with all phases in the lifecycle from designing new systems to retiring old systems

• Strongly hands on experience in scripting such as - Python, Groovy, UNIX Bash, Shell Scripting and Perl.

• Extensive experience using MAVEN, ANT, Gradle and Xcode as build tools for the building of deployable artifacts from source code. And good exposer in Android platform and build tools.

• Experience in Nexus and Artifactory Repository for Maven and ANT builds.

• Experience in writing Ansible Playbooks and Puppet Manifests to provision Apache Web servers, Tomcat servers, Nginx, Apache Spark and other applications.

• Automated the process of launching and stopping/terminating EC2 instances on Amazon AWS with BOTO.

• Experience and knowledge of Cloud Management Platform (IaaS, PaaS, SaaS).

• Worked on AWS CloudFormation templates to usingTerraform with existing plugins. To ensure successful deployment of Web applications and database templates.

• Extensively used Docker/Kubernetes for containerization, virtualization, Ship, Run and Deploy the application securely to fasten Build/Release Engineering. Involved in Provisioning AWS Infrastructure using Terraform scripts from Jenkins.

• Written Terraform templates, Chef Cookbooks, recipes and pushed them onto Chef Server for configuring EC2 Instances.

• Experience in building private cloud infrastructure of OpenStack, deploying through puppet and maintaining them in production.

• Created and wrote shell scripts (Bash), Ruby, Python and PowerShell for automating tasks.

• Experience in Deploying Apache Tomcat web server, JBoss, Oracle web logic, and IBM Web sphere.

• Strong knowledge on source controller concepts like Branches, Merges and Tags.

• Streamlined installation of Open Shift on partner cloud infrastructure such as AWS and Azure.

• Experience in Setting up Application Tier, Build Controllers, Build Agents in Team foundation Server.

• Set up different kinds of Build triggers including - Gated -Checking, Continuous Integration, and Rolling Builds in Team Foundation Server (TFS) 2010 & TFS 2012

• Proficient in deep analysis of existing tools that are integrated used with CVS (defect tracking (Bugzilla), continuous integration (Jenkins), etc.), reviewing the feature set.

• Expertise in writing new plugins for Jenkins to support new functionality in Terraform.

• Installed/configured/managed Puppet master/agent. Wrote custom modules and manifests, downloaded pre-written modules.

• Spearheaded the implementation of Elasticsearch monitoring tools like Kibana, resulting in a 25% decrease in system downtime.

• Support and enhance SDLC by using Docker containers delivered with Open shift for Web application deploy.

• Experience on Deployment Automation & Containerization (Puppet, Docker, Kubernetes, Rancher).

• Used Nagios, and CloudWatch for monitoring/metric collection for applications in a Cloud based environment.

• Documented Daily meetings, Build reports, Release Notes and many other day-today documentation and Status Reports.

• Extensive experience in migrating on-premises applications to Azure and configured VNETs and subnets as per the project requirement and performed PowerShell scripting to do Patching, Imaging, and Deployments in Azure.

• Hands on experience in writing Azure Resource Manager (ARM) to deploy, update and delete multiple resources in Azure and migrating the on-premises resources to Azure with Azure Site recovery (ASR) and Azure backups.

• Experience in Azure laaS - Virtual machines, VM Scale Sets, Load Balancer, Traffic Manager, Virtual Networks, SQL,

• Resource Groups and Cloud Services.

• Extensive involvement in Azure Backup, Azure Policies, Azure Key Vault, Salt Stack and Tagging.

• Experience in Azure Platform Development, Deployment Concepts., hosted Cloud Services, platform services and close interface with Windows Azure Multi-Factor Authentications.

• Experience in CI/CD tools like Bamboo, SFDX, Azure devops, Bit bucket and Sonar code scan validations

• Good working experience in DevOps, establishing E2E pipeline for Salesforce Orgs using Copado Tool.

• Experience with open-source frameworks for logging and monitoring, including ELK, Prometheus, and Grafana TECHNICAL SKILLS:

Version Control Tools

GIT (GitHub, Atlassian bit bucket, GitLab), Subversion, CVS, TFS Configuration

management

Chef, Puppet, Ansible, Terraform

System Monitoring

Tools

Elastic Search, Kibana, Nagios, Grafana, ICINGA, Cloud Watch Build & CI Tools Apache Ant, Maven, Gradle, Docker, Kubernetes, TeamCity, Confluence, Atlassian, Jenkins, Hudson, Build Forge, Atlassian Bamboo CD Tools Custom Tools, RPM, YUM, NPM, Octopus Deploy Bug tracking Tools Atlassian JIRA, REMEDY, Fisheye, Bugzilla, Bug tracker, TFS,Agile Cloud Technologies AWS (VPC, EC2, S3, CloudWatch, Lambda, RDS, EBS, IAM), Google Cloud, Microsoft Azure, IaaS, PaaS, SaaS

Languages C, C++, JAVA, J2EE, ASP.net

Scripting Languages Bash, Python, Shell Scripting, Groovy, Ruby Web Application

Servers &

Technologies

Apache Web Server on Windows, IIS, Linux and Solaris, Web Logic, JBOSS, Tomcat, Apache 2.x, 3.x

Middleware File

Systems

WebLogic, WebSphere and Tomcat, UFS, VMware, vSphere Databases Oracle 10.x, SQL Server 2008, 2012, MS Access, MySQL 5.0.2 Operating Systems UNIX, Linux, WINDOWS NT/2000/2003/XP/vista/7, Red Hat Linux 5.x/6.x/7 Ubuntu, Centos, Windows Server 2003/2008/2012 Networking Protocols

Container

orchestration:

TCP/IP, NIS, NFS, DNS, DHCP, Cisco Routers/Switches, WAN, SMTP, LAN, FTP/TFTP, UUCP, X.25, LAN, WAN, SSH, UDP, TELNET,HPC Kubernetes, Amazon EKS, Google GKE, Azure AKS

PROFESSIONAL EXPERIENCE:

SAP America Inc

Palo Alto, CA June 2020- present

Lead Kubernetes Engineer and Sr.DevOps Engineer

• Building and maintaining Kubernetes clusters using infrastructure-as-code tools like Ansible, Terraform, Argo CD and Helm and helping the application teams to be successful on our platform

• Experience of the full Software Development Life Cycle (SDLC) and Methodologies & Validations to ensure the Quality Assurance Control.

• Point team player on OpenShift for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, troubleshooting pods through ssh and logs, modification of Buildconfigs, templates, Imagestreams, etc

• Worked in container based technologies like Docker, Kubernetes and OpenShift.

• experience and knowledge of the following: OpenShift/Kubernetes, Docker, GitLab/Hub, Grafana, Prometheus, Elasticsearch, GitOps, Argo-CD.

• Experience in working in container technologies (Docker) and its ecosystem using tools like Compose, Rancher, Kubernetes, Flaw check, Cloud Foundry (HP Staccato), Prometheus etc.

• Experience sustaining all production level Kubernetes containers.

• Experience implementing/supporting Kubernetes.

• good understanding of Kubernetes policy management (RBAC, Network, Pod security policy, and OPA).

• software designs that define and extend TMC's resource model, RBAC, AuthZ service APIs, and related infrastructure.

• building and maintaining Kubernetes clusters using infrastructure-as-code tools like Ansible, Terraform, ArgoCD and Helm and helping the application teams to be successful on our platform.

• underlying infrastructure is a a mix of on-premise VMs, bare metal hosts and public clouds such as AWS located all around the globe.

• Experience managing container-based workloads, using Kubernetes or other orchestration software in production (ArgoCD, Helm).

• Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.

• Streamlined the integration of AWS cloud services with Elasticsearch, resulting in a 20% boost in data-processing efficiency.

• Spearheaded the implementation of Elasticsearch monitoring tools like Kibana, resulting in a 25% decrease in system downtime.

• Leveraged Elasticsearch Query DSL in optimization efforts, leading to a 20% surge in accurate search results.

• Managed Docker orchestration and Docker containerization using Kubernetes.

• Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

• Experience with creating Kubernetes operators using Kubebuilder or Operator SDK

• Experience with Argo CD / Flux / Argo Workflows.

• Experience in working in container technologies (Docker) and its ecosystem using tools like Compose, Rancher, Kubernetes, Flawcheck, CloudFoundry (HP Stackato), Prometheus etc.

• Strong experience in setting up Agile Infrastructure - Chef/Ansible/Salt and complex Confidential Delivery Pipelines using - Jenkins, Travis, Nexus, GoCD, Packer, Terraform, Rundeck etc. ability to understand complex infrastructure environments & interact with customers to analyze requirement specifications.

• Set up and managed Docker containers, running Go and PHP applications, for deployment into Kubernetes Pods.

• Broke a monolith application into microservices on AWS.

• Managed a network of 20+ Unix servers

• Experience in Linux Administration Installation, Configuration, Tuning and Upgrades of Linux (RedHat and Oracle).

Deployed and managed 50+ microservices on Kubernetes clusters on AWS EKS, utilizing Helm charts and terraform for infrastructure as code

• Performs necessary systems maintenance in accordance with Sun and RedHat best practices and Company change management policies.

• Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.

• Managed Docker orchestration and Docker containerization using Kubernetes.

• Designed and implemented a CI/CD pipeline for a Kubernetes-based microservices architecture, reducing deployment time by 50% and increasing overall system reliability by 30%.

• • Developed and maintained a Kubernetes-based autoscaling solution, resulting in a 25% reduction in infrastructure costs and a 15% increase in application performance during peak traffic periods.

• • Implemented and maintained security policies for Kubernetes clusters and applications, achieving compliance with industry standards and passing multiple security audits.

• Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

• Worked on infrastructure with Docker containerization.

• Pioneered a real-time communication platform using Golang, optimized for resource efficiency, resulting in a 15% cost reduction.

• Kubernetes is being used to orchestrate the deployment, scaling and management of Docker Containers.

• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP

(Google Cloud Platform) . Utilized Kubernetes and Docker for the runtime environment of the CI / CD system to build, test deploy.

• Experience in using ARM templates (JSON) to create Azure services, while ensuring no changes were made to the existing infrastructure.

• • Experience implementing Azure services such as Azure Active Directory (AD), Azure storage, Azure cloud services, IIS, Azure Resource Manager (ARM), Azure Blob Storage, Azure VM, SQL Database, Azure Functions, Azure Service Fabric, Azure Service Bus.

• Working knowledge in deploying CI/CD system using Azure

• DevOps on Kubernetes container environment, and for the runtime environment of CI/CD system to build, test and Deployment we have utilized Kubernetes and Docker.

• Designed and automated AZURE Infrastructure as a Service (laaS) and Platform as a Service (PaaS), SaaS capabilities which includes virtual machine, container services, virtual network and cloud services.

• Working experience with Azure Resource Manager (ARM) to deploy, update, and delete multiple Azure resources, as well as migrating on-premise resources to Azure with Azure site recovery (ASR), and Azure backups.

• Used Azure DevOps services such as Azure Repos, Azure Boards, and Azure Test Plans to plan work and collaborate on code development, built and deployed application.

• Developed, maintained and provided the team with Various Azure DevOps-related tools like deployment tools, staged virtual environments, and provisioning scripts.

• Used Shared Image Gallery to store the created images and built Azure pipelines in Azure DevOps to implement all these services in Azure.

• Structured cluster AutoScaler for Azure Kubernetes Service

• (AKS) by using Terraform and worked with scheduling, deploying, and managing node and renlicac in AKS

• I’m a DevOps Engineer with hands-on experience in migrating on-premises systems to Oracle Cloud Infrastructure (OCI).

• I’ve worked on both lift-and-shift and rearchitecting strategies to move workloads from VMware, Bare Metal, and Private Cloud environments to OCI. I have experience automating deployments and workflows using OCI Functions, Ansible, and the OCI Python SDK to optimize operations and ensure scalability.. Federal Home Loan Bank

Des Moines, Iowa NOV 2019- MAY 2020

AWS/ DevOps Engineer

RESPONSIBILITIES:

• Involved in Building and configuring Red Hat Linux Servers using Kick Start server as required for the project.

• Design, implement and maintain JAVA Microservices.

• Integrate data from one system to another via REST API

• Maintained maximum uptime and maximum performance capacity for enterprise production, QA and UAT/staging.

• Expertise in AWS, experience in implementing new AWS instances and working with EBS and S3 storage, IAM.

• Launching and configuring of Amazon EC2 Cloud Servers using AMI's (Linux/Ubuntu)

• Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.

• Responsibilities:

• Managing the Openshift cluster that includes scaling up and down the AWS app nodes.

• Involved in Building and configuring Red Hat Linux Servers using Kick Start server as required for the project.

• Maintained maximum uptime and maximum performance capacity for enterprise production, QA and UAT/staging.

• Expertise in AWS, experience in implementing new AWS instances and working with EBS and S3 storage, IAM.

• Launching and configuring of Amazon EC2 Cloud Servers using AMI's (Linux/Ubuntu)

• Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.

• Set up the scripts for creation of new snapshots and deletion of old snapshots in S3

• Worked on setting up the life cycle policies to back the data from AWS S.

• Worked with Amazon IAM console to create custom users and groups

• Worked with various AWS EC2 and S3 CLI tools.

• Executed full-stack software development with a focus on backend services using Golang, resulting in a 10% improvement in system performance.

• Experienced in Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups.

• Supported AWS Cloud environment with AWS instances and configured Elastic IP and Elastic storage.

• Cloud and system virtualization platforms and tools (AWS, VMWare, Docker, Vagrant).

• Building and configuring of EC2 instance on AWS cloud platform, Configuration of Elastic Load Balancer (ELB) for traffic control for the EC2 and S3 instances.

• Architecting of cost effective infrastructure by utilizing various AWS services and options.

• Building of High Availability and Fault Tolerant infrastructure by utilizing various Amazon regions and availability zones.

• Develop guidelines and procedures for LAN/WAN Networking management including process and efficiency improvements

• HPC cluster experience (setup or use)

• Maintain networking documentation, run-books, diagrams, and network assets in the configuration management database

• Administered and Implemented CI tool Jenkins for automated builds.

• Extensive experience in Implementing Configuration Management tools like Puppet and Chef.

• Design and implementation of a Puppet-based configuration management system for all new Linux machines.

• Setup puppet master, client and wrote scripts to deploy applications on Dev, QA, production environment.

• Development of Puppet modules with Jenkins for continues integration and continues deployment of managed products, and related services.

• Set up the scripts for creation of new snapshots and deletion of old snapshots in S3

• Worked on setting up the life cycle policies to back the data from AWS S3

• Worked with Amazon IAM console to create custom users and groups

• Worked with various AWS EC2 and S3 CLI tools.

• Experienced in Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups.

• Supported AWS Cloud environment with AWS instances and configured Elastic IP and Elastic storage.

• Cloud and system virtualization platforms and tools (AWS, VMWare & Docker).

• Building and configuring of EC2 instance on AWS cloud platform, Configuration of Elastic Load Balancer (ELB) for traffic control for the EC2 and S3 instances.

• Architecting of cost effective infrastructure by utilizing various AWS services and options.

• Building of High Availability and Fault Tolerant infrastructure by utilizing various Amazon regions and availability zones.

• Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.

• Involved in Building and configuring Red Hat Linux Servers using Kick Start server as required for the project.

• Maintained maximum uptime and maximum performance capacity for enterprise production, QA and UAT/staging.

• Expertise in AWS, experience in implementing new AWS instances and working with EBS and S3 storage, IAM.

• Launching and configuring of Amazon EC2 Cloud Servers using AMI's (Linux/Ubuntu)

• Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.

• Set up the scripts for creation of new snapshots and deletion of old snapshots in S3

• Worked on setting up the life cycle policies to back the data from AWS S3 to AWSGlacier

• Engineer and manage the deployment of new HPC solutions and components

• Worked with Amazon IAM console to create custom users and groups

• Worked with various AWS EC2 and S3 CLI tools.

• Experienced in Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups.

• Supported AWS Cloud environment with AWS instances and configured Elastic IP and Elastic storage.

• Cloud and system virtualization platforms and tools (AWS, VMWare, Docker, Vagrant).

• Building and configuring of EC2 instance on AWS cloud platform, Configuration of Elastic Load Balancer (ELB) for traffic control for the EC2 and S3 instances.

• Architecting of cost effective infrastructure by utilizing various AWS services and options.

• Building of High Availability and Fault Tolerant infrastructure by utilizing various Amazon regions and availability zones.

• Orchestrated a seamless migration of 500+ applications to the Elasticsearch platform, resulting in reduced search time by 40%.

• Managed the development and deployment of a Kubernetes-based service mesh solution, resulting in a 40% reduction in network latency and a 20% increase in application performance.

• Developed and maintained a Kubernetes-based backup and disaster recovery solution, ensuring business continuity and reducing recovery time by 50% in the event of a disaster.

• Designed and implemented a Kubernetes-based monitoring and logging solution, providing real-time visibility into system performance ano reducing mean time to resolution

• I’m proficient with OCI migration tools like OCI Data Transfer, Block Volume Replication, and OCI Database Migration, helping businesses adopt the cloud efficiently. I also specialize in Infrastructure as Code (IaC) using Terraform (OCI Provider) and OCI Resource Manager stacks to automate cloud resource provisioning and management.

Gilead Science

Foster City, CA

Sr. Cloud / DevOps Engineer

JULY 2018 – NOV 2019

RESPONSIBILITIES:

• Managing & enhancing existing application on a WebSphere / JBoss EAP server with various Java technologies like spring, Struts and REST services.

• Had very strong exposure using ansible automation in replacing the different components of Openshift like ECTD, MASTER, APP, INFRA, Gluster.

• Involved in redesign of the existing application using Microservice based architecture.

• Supporting the performance testing, security testing and infrastructure maintenance of the existing applications using tools like Fortify, Sonar and Performance Center Lab.

• Managing the applications current state and future state artifacts for architecture & infrastructure, maintaining the design documents and technical documents for knowledge base.

• Involved in designing and deploying multitude applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud Formation.

• Developed a comprehensive backup and recovery strategy for Elasticsearch infrastructures, ensuring 100% data availability during system failures.

• Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates.

• Configuring and Networking of Virtual Private Cloud (VPC) Written Cloud Formation templates and deployed AWS resources using it.

• Perform troubleshooting and root cause analysis of HPC cluster and file system related issues

• Monitor HPC cluster and file system performance and utilization

• Built Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code.

• Design and implementation of a Puppet-based configuration management system for all new Linux machines.

• Configured RDS instances using Cloud formations and Terraform.

• Used Terraform to map more complex dependencies and identify network issue.

• Built Jenkins jobs to create AWS infrastructure from GitHub repos containing terraform code.

• Gluster Native Client is the recommended method for accessing volumes when high concurrency and high write performance is required.

• Used Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple name spaced versions.

• Worked on Docker/Kubernetes Containerization of cloud-based applications

• Azure Active Directory is Microsoft's cloud-based, multi-tenant identity provider. Most hybrid scenarios use Azure Active Directory as the identity store.

• Azure Messaging provides a fleet of services that allows application builders to pick a fully-managed service that best fits their needs for a scenario.

• Strong experience utilizing Jenkins for enterprise scale infrastructure configuration and application deployments checking out code from svn/git and use ant/maven to build war/jar artifacts.

• Used MySQL, DynamoDB and Elasticache to perform basic database administration. Build out server automation with Continuous Integration - Continuous Deployment tools like Jenkins/Maven for deployment and build management system

• Wrote Python Code using Ansible Python API to Automate Cloud Deployment Process.

• Developed Python Modules for Ansible Customizations.

• Built Continuous Integration environment Jenkins and Continuous delivery environment.

• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.

• Defined branching, labeling, and merge strategies for all applications in Git.

• Integrated a Golang application with external systems and services, resulting in a 20% increase in data accuracy and a 15% reduction in data retrieval time.

• Created a workstation/control host and installed AWS CLI and python.

• Experience in building Micro Service applications using Spring Boot for developing Restful Web services.

• Good Knowledge in implementing client - server business applications using Micro services. Designed and developed Micro services business components using Spring Boot.

• Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT.

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

• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers

(ELBs) in the defined virtual private connection (VPC).

• Used ANT and MAVEN as a build tools on java projects for the development of build artifacts on the source code.

• Terraform was used along with Packer to create custom machine images, and Ansible was used to install the software dependencies once the infrastructure was provisioned.

• Developed and maintained Continuous Integration (CI) using tools in Azure DevOps (VSTS) spanning multiple environments, enabling teams to safely deploy code in Azure Kubernetes Services (AKS) using YAML scripts.

• Managing the Azure Kubernetes Services (AKS) policies, providing access to different Azure resources and developing and improving the workflows that govern access.

• Experience with version control tools such as GIT and Bitbucket.

• Compreensive knowledge of source controller concepts including branches, tags, and merges.

• Developed build and deploy scripts using MAVEN and activated them using Jenkins to migrate from one environment to another.

• Worked with Azure Monitoring tools such as Azure Log Analytics, Azure Network Watcher, and Azure Service Health to diagnose and minimize service degradation.

• Experience in using the monitoring tools like Azure monitoring,

• Dynatrace to setup the desired alerts to avoid disruption.

• Created ARM Template for deploying the resources into Azure using the Power Shell and continuous integration by VSTS.

• Deployed Azure laaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets using PowerShell.

ENVIRONMENT:Java, WebSphere, Jboss, AWS, Puppet,Agile, Jenkins, Terraform, Kubernetes, ansible, Route53, EBS, SQL, Docker, Jira, AWS CLI, AWS Auto Scaling, Unix/Linux, Python, Ruby, Shell scripting, Git. CareSource,

Dayton, OH May 2017 - JUNE 2018

Build & release Engineer / DevOps Engineer

RESPONSIBILITIES:

• Build and configure a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.

• Openshift virtualized PaaS provider - useful in

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