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Email: EMAIL AVAILABLE | Mobile: PHONE NUMBER AVAILABLELinkedIn: https://LINKEDIN LINK AVAILABLEProfessional Summary:      I have more than 9 years of experience as an DevOps Engineer with the planning, creation, and execution of comprehensive corporate solutions. competent in utilizing a wide range of technology and a varied skill set to propel application development, integration, and deployment while guaranteeing scalability, security, and dependability.      I have experience designing and implementing solutions using Django, Serverless, MVC, Event Driven, and Spring frameworks.      Knowledge of the following programming languages Groovy, Python, Shell, Ruby, bash, Perl, Java, J2EE, EJB, JSP, JSF/Struts, XML      Hands-on Experienced in Amazon Web Services VPC, EC2, RDS, S3, AWS CLI, AMI, EC2 Image Builder, Route 53, SNS, AWS SQS, Elastic Load Balancing, Auto Scaling, Systems Manager, CloudWatch, CloudTrail, CloudFront, and CloudFormation, PI Gateway, CloudWatch, Event bridge, SNS, SQS, Lambda, AWS monitoring, IAM, ASG, Lambda, Dynamo, Step Function, Elasticache, OpenSearch.      Worked on templating Amazon Machine Images (AMI), creating Elastic Block Storage (EBS) snapshots to ensure backups and promote reusability. Assigned Storage classes to S3 based on Object Lifecycle to reduce storage consumption cost.      Managing a company's customer information by organizing, combining, and securing data from multiple sources to improve decision-making and ensure regulatory compliance.      Moving a company's customer data from physical servers in their office to a cloud-based platform like AWS or Azure, allowing faster access, scalability, and cost efficiency through cloud-native database technologies.      Creating a cloud-based system that organizes and optimizes customer data for quick access and insightful analysis, enhancing business decision-making.      Implemented the serverless architecture (SAM) using API Gateway, Lambda, Dynamo DB and triggered the AWS Lambda code from Amazon S3 buckets.      Worked on version control and source code tools like GIT, Subversion (SVN) and used Source code client tools like Bitbucket, GitLab, Git Bash, GitHub, Code Commit and Git GUI.      Experienced in deploying infrastructure as code with Terraform and cloud formation ensuring scalability and fault tolerance using AWS services like Elastic Load Balancer (ELB) and availability zones.
      Used python scripts to perform maintenance tasks on AWS like taking backups, checking resource status, and generating reports using AWS Lambda.      Assisting a company in seamlessly moving their databases (data migration) and safely storing historical information (data archival) within Amazon Web Services (AWS) cloud infrastructure for enhanced accessibility and security.      The design and implementation of serverless architectures using AWS Lambda, API Gateway, DynamoDB, S3, and other AWS services.      Developed and optimized RESTful APIs for seamless integration with various e-commerce platforms and third-party services.      Implemented CI/CD pipelines using AWS Code Pipeline and Code Build to automate deployment processes, resulting in a 30% reduction in time-to-market.      Designed and maintained scalable microservices architecture to support high-traffic e-commerce applications, ensuring reliability and performance.      Experience with serverless application development and microservices architecture.      Familiarity with e-commerce platforms and technologies, such as Magento, Shopify, WooCommerce, etc.      Collaborated with cross-functional teams to gather requirements, define project scope, and deliver solutions aligned with business objectives.      Conducted code reviews, mentored junior developers, and promoted best practices for AWS development and serverless computing.      Experienced in authoring pom.xml files to manage dependencies and plugins to build a project using various maven build lifecycles.      Strong familiarity with Linux and Windows operating systems, along with experience in IT automated solutions design.      Using DataDog, AppDynamics, Prometheus, and Icinga simultaneously provides a real-time view of application performance, system health, synthetic transactions.      User experience, ensuring proactive issue detection and resolution for a seamless operational experience.      Developed scalable serverless applications using AWS CDK, leveraging infrastructure as code principles to automate provisioning and configuration.      Developed scalable serverless applications leveraging AWS Lambda, API Gateway, and DynamoDB using AWS SDK for Python (Boto3).      Automated deployment pipelines using Python scripts, integrating CI/CD tools like Jenkins to ensure continuous delivery of microservices on Kubernetes clusters.      orchestrated application deployments on Kubernetes using Helm, automating release management, and ensuring consistency across environments.      Collaborated with cross-functional teams to troubleshoot issues, optimize performance, and enhance automation processes through Python scripting in real-time DevOps projects.      Java to develop monitoring agents for application performance metrics, enabling proactive issue detection and resolution in production environments.      Implemented SaaS integration with AWS using SAML and OAuth authentication protocols, ensuring secure access to cloud resources for team members.      TeamCity ensures seamless integration and continuous delivery of code changes, enabling rapid deployment of updates to be booking systems and ensuring a smooth passenger experience.      Experienced in configuring and setting up Jenkins with plugins to implement (CI/CD) pipeline. Integrated DevOps tools like AWS, Git, Maven, Ansible, Docker and application servers onto pipeline in Jenkins.      Experience in integrating Jenkins with various tools like Maven (Build tool), Git (Repository), SonarQube (code verification), Nexus (Artifactory) and implementing CI/CD automation for creating Jenkins pipelines programmatically architecting Jenkins Clusters. Experience with testing frameworks Junit, cucumber.js and Selenium for setup, build and delivery pipeline.      Experienced in configuring machines on premises and on cloud platforms by writing Ansible Playbooks. Worked on YAML scripts and assigned Ansible Roles to perform tasks on nodes in a time efficient manner.      Worked with artifact repositories like Nexus and Artifactory in deploying artifacts onto web/application servers like JBoss, Apache, Tomcat, WebLogic.      Implemented WCAG 2.0 standards to ensure web accessibility, enhancing user experience.      Experienced with containerization and its tools like Docker, Kubernetes. Automated building Docker-images with Docker file by adding dependency layers to the images available on Docker Hub.      Implemented Istio for microservices orchestration, reducing deployment time and enhancing Observability, scalability, and security in a Kubernetes environment.      Created and implemented cloud-based containerized web apps with skill. Skilled in Python, Node.js, and React.js      Strong experience on DevOps essential tools like Chef, Puppet, Ansible, Docker, Kubernetes, Subversion (SVN), GIT, Hudson, Jenkins, Ant, Maven and migrated VMWAREVMs to AWS and Managed Services like EC2, S3, Route53, ELB, EBS.      experience using WebSphere Network Deployment (ND) for deploying and managing Java EE applications, IBM MQ for messaging, and Liquibase for database schema version control in enterprise environments.      Understanding of LDAP, Splunk, Dynatrace, MQ, Oracle, Java, and SQL tools (PL/SQL developer, SQL plus).      Integrated MongoDB and other NoSQL databases into our applications      Worked with Nagios, AWS CloudWatch to monitor network infrastructure to track and analyze real time performance, metrics, and traffic of resources on cloud.      Incorporated Jest test environment to enhance code quality and reliability during my work experience.      Extensive experience with scripting languages like Python, Ruby, Perl, Bash.      AWS Blue/Green deployments, ensuring seamless transitions between production environments for our applications.      Implemented automated deployment pipelines using DevOps for Power Platform solutions, enabling continuous integration and delivery while ensuring version control.      Collaboration among development teams, resulting in accelerated development cycles and enhanced solution quality.      Good at Linux/Ubuntu administration along with other functions managing different servers like Apache/Tomcat and databases such as Oracle, MySQL, PostgreSQL and SQLSERVER.      A proactive IT professional with participation in software methodologies ranging from traditional Waterfall to highly adaptive Agile methodologies.      Experience on Microsoft Office products, including Outlook, TEAMS, Microsoft Project, Word, Visio, Excel, PowerPoint.Technical Skills:PlatformsAWS, Azure, GCP, Linux, Unix, WindowsCloud/AWSComputeEC2, ECS, ELB, Auto ScalingServerlessLambda, Step Functions, AWS SAMStorageS3, EBS, EFS, GlacierDatabaseDynamoDB, Aurora, RDS, Elastic ache, RedshiftNetworkingVPC, Route 53, Direct ConnectAnalyticsKinesis, Elasticsearch, EMR, Data PipelineMobileAPI Gateway, SNSDev Tooling & ManagementCloudFormation, CloudWatch, Code DeploySecurityIdentity & Access Management (IAM), CognitoApp ServicesSQS, SESDevOpsGit, Jenkins, Travis CI, Ansible, Terraform, Code Deploy, JFrog Artifactory, CloudFormation, ELK Stack, Docker, Kubernetes, Gatling, Chaos Monkey, CDKProgramming /ScriptingPython, Go, Bash Shell, JavaScript, C, C++Server SideIDEPyCharm, Atom, EclipseBuild / CIJenkins, Travis, BambooTestingJMeter, Gatling, SeleniumClient Side / MobileTechnologiesHTML5, CSS3, JSON, PhoneGapFrameworks / LibrariesReact, Bootstrap, Flux, jQuery, lessDatabasesDynamoDB, Elasticsearch, Postgres, MySQL, Oracle, SQL ServerAgileTrello, Rally, Jira, Confluence, Slack, Flow dockVersion ControlGit/GitHub, SourceTree, Mercurial, SVNWeb ServersApache HTTP Server, Nginx, IBM HTTP ServerCertifications:AWS Certified Solution Architect Associate.Education:Bachelor of Technology                                                                                                        Anna University, IndiaWork Experience:
eBay   Austin, TX       					                                                     June 2022   PresentDevOps engineer
Responsibilities:      Built cloud Infrastructure using templates on Terraform. Configured Elastic Load Balancers (ELB) by specifying Launch Configurations and creating Auto Scaling groups to ensure equal load distribution across VPC.      Deployed infrastructure as code using Terraform and developed Lambda functions to trigger AWS services depending on the network activity.      Implemented Terraform configurations to automate infrastructure provisioning on AWS, ensuring scalability and consistency across environments.      Utilizing Oracle and/or PostgreSQL for high availability deployments, specializing in real-time data storage and management." Created public and private subnets across VPC to ensure security and modularity on AWS cloud. Also added additional layer of security to control network traffic using Network Access Control Lists (NACL).      Worked on AWS RDS services in securely providing Database from private subnets through SSH tunneling.      Deployed a serverless application. CloudWatch monitors the app's health, triggering an Event Bridge rule if errors spike.      Fires an SNS message to developers, while SQS queues any critical alerts for further processing by a Lambda function.      The VPC ensures secure network isolation for the application.      Created and configured S3 buckets by providing access permissions to AWS instances using IAM roles. Utilized object life cycle to make usage of S3 more cost efficient. Transitioned the bucket into various storage classes like Glacier, Standard and other frequency-based access classes.      Implemented CI/CD pipelines with Bamboo Pipeline ensuring reliable and efficient deployment of cloud resources across development, staging, and production environments.      Pushed a code update to our Bitbucket repository. The Bamboo pipeline automatically kicked off, running unit tests in the CI stage.      the CD stage deployed the new code to our development environment via CloudFormation.      Optimized cost and performance by utilizing AWS CDK constructs to dynamically scale resources based on demand, resulting in improved efficiency and cost savings.      Monitoring CloudWatch logs to ensure everything is functioning smoothly.      Familiar with WebSphere Liberty, Tomcat, and JBOSS for Java application server deployment and management.      Using a Datadog for APM insights, AppDynamics to monitor system vitals, Prometheus for synthetic monitoring, and Icinga for RUM analysis.      Created and implemented cloud-based containerized web apps with skill. Skilled in Python, Node.js, and React.js      For effective delivery, I optimized our development process. My proficiency with HTML, CSS, jQuery, and JavaScript guarantees flawless user experiences.      Imagine effortlessly storing and retrieving vast amounts of data with MongoDB.      Extensive expertise in designing and developing Integration Architecture Solutions using REST, HTTP, JSON, XML, and SOA for real-time applications.      Created CI/CD workflow by incorporating Bitbucket, Maven and other deployment tools using Bamboo. Configured Bamboo to make periodic builds and mentioned triggers to automate building important builds on the fly.      Implemented automated infrastructure provisioning and management using AWS CloudFormation and SDK integration for infrastructure as code.      Leveraging Java expertise, I developed monitoring scripts and integrated them with Prometheus and Grafana for real-time insights into application performance and system health.      Streamlined infrastructure as code with CDK, ensuring smooth development to production pipelines.      Orchestrated complex workflows across AWS services with AWS Step Functions, integrating SDK for seamless communication between components.      AWS Blue/Green deployments, ensuring seamless transitions between production environments for our applications.      Deployed applications to Kubernetes clusters using Helm Charts, ensuring seamless management and scalability.      Managing Kubernetes control plane ensures cluster stability & performance.      Implementing advanced ingress, scaling, segmentation, & networking optimizes application delivery, scalability, & security in workloads.      Managed infrastructure provisioning and orchestration to enable rapid deployment of new features, utilizing AWS services like EC2, S3, and Elastic Beanstalk      Configured AWS auto scaling groups to scale preconfigured EC2 instances on increased loads using ELB. Labelled Jenkins slaves and associated the slaves with autoscaling groups to ensure job completion with high availability.      Used python scripts to perform maintenance tasks on AWS like taking backups, checking resource status, and generating reports using AWS Lambda.      Using Python scripts to automate resource tagging and AWS Cost Explorer for cost analysis.      Ensuring adherence to budget constraints and optimizing cloud expenditure in dynamic work environments.      Automated user provisioning and de-provisioning workflows in AWS using SaaS connectors and identity federation, reducing administrative overhead, and enhancing security posture.      Implemented AWS Redshift as a powerful data warehousing solution, enabling lightning-fast querying and analysis of large datasets, leading to data-driven decision-making and actionable insights for business stakeholders.      Utilized Node.js for efficient backend development, enhancing application performance and scalability in my previous work experience.      Developed YAML scripts to manage and deploy environments using Ansible in a time efficient manner. Created Ansible roles by splitting the tasks into multiple YAML files promoting code reusability.      Created containers using Docker engine and pushed the built Docker images to Docker Registry. Used containers to build transferable build environments among development, testing and production teams.      Configured containers using Docker file specifying the start programs, shells and setting the environment using instructions in Docker file.      Worked on container orchestration to monitor analytics on various workloads and scenarios using Kubernetes. Monitored Kubernetes objects for health by keeping them in desired state using liveness and readiness probes.      Ensured resource availability in handling large data processing requirements using horizontal and vertical scaling in Kubernetes with objects like replication controllers, Deployments, Services, and probes.      I orchestrated Istio to streamline microservices communication, instantly detecting and resolving traffic bottlenecks. Leveraging Istio's telemetry.      Optimized service mesh performance, ensuring seamless deployment and scaling across our Kubernetes clusters.      Empowered rapid iteration cycles and enhanced resilience, fortifying our infrastructure against downtime, and enhancing end-user experience.      Developed python scripts in AWS Lambda to communicate with API gateway and process CRUD data operations on the Databases.      Developed Python automation scripts for provisioning and managing infrastructure resources on cloud platforms like AWS.      Implemented continuous integration and continuous deployment (CI/CD) pipelines using Python-based tools such as Jenkins, GitLab CI/CD, or Travis CI.      Utilized Python frameworks like Ansible, Puppet, for configuration management to ensure consistency and scalability across environments.      Created Splunk dashboards to monitor and analyze application logs, performance, and generated reports. Monitored web/application servers  error logs to track and fix bugs.      Incorporated Jest test environment to enhance code quality and reliability during my work experience.      Implemented Agile methodology by managing the project on JIRA. Setup story, epic, spikes, and other issues to track progress and generated charts.      Utilized WCAG 2.0 guidelines to create inclusive digital content, promoting accessibility for all.Environment: AWS, Lambda, RDS, EC2, VPC, ELB, S3, Glacier, CloudFormation, Ansible, Bamboo, Docker, Kubernetes, Git, Bitbucket, Splunk, Jira, Ubuntu, RHEL, CentOS, Python, Shell Script, Node.js, jest, WCAG 2.0Verizon - Denver, CO      				                                                   Nov 2020   June 2022DevOps Engineer
Responsibilities:      Implemented AWS solutions for clients, including cloud migration, serverless application development, and infrastructure optimization.      Provided technical leadership and guidance to project teams, ensuring adherence to AWS best practices and security standards.      Clients on AWS services and help them leverage cloud technologies effectively.      Worked closely with sales and marketing teams to develop proposals, estimates, and project plans for new business opportunities.      Assisted in pre-sales activities, including solution presentations, product demonstrations, and proof-of-concept development.      Implemented Terraform configurations to automate infrastructure provisioning on AWS, ensuring scalability and consistency across environments.      Developed reusable modules using a Terraform for deploying networking, computer, and storage resources, optimizing DevOps workflows, and reducing deployment time.      Developed serverless applications using AWS Lambda, API Gateway, and DynamoDB, reducing operational costs and improving scalability.      Designed and implemented data pipelines for real-time analytics and reporting using AWS Kinesis and Redshift.      Optimized application performance and resource utilization through AWS monitoring and performance tuning.      Integrated third-party services and APIs to enhance e-commerce functionality and streamline business processes.      Designed and maintained scalable microservices architecture to support high-traffic e-commerce applications, ensuring reliability and performance.      Experience with serverless application development and microservices architecture.      Participated in Agile development processes, including sprint planning, daily stand-ups, and retrospective meetings.      Developed a serverless application using AWS CDK to provision and manage resources such as AWS Lambda functions, API Gateway endpoints, and DynamoDB tables, optimizing scalability and cost-effectiveness.      Implemented infrastructure as code (IaC) practices with AWS CDK, enabling automated deployment and version control of cloud resources, enhancing team collaboration and project agility.      Orchestrated complex AWS architectures leveraging AWS CDK constructs like AWS CloudFormation stacks and nested stacks, ensuring reliable and consistent infrastructure deployment across multiple environments.      We are using Datadog as visibility into application performance, system health, and user experience, streamlining troubleshooting and optimizing resources for seamless operations.      Optimized cost and performance by utilizing AWS SDK features for fine-grained control over resource allocation and utilization.      Ensured high availability and fault tolerance of distributed systems through proactive monitoring and AWS SDK-based automated scaling and recovery mechanisms.      Created EC2 instances using AWS AMI s and configured the launched instances with respect to the application.      Implemented SAML and authentication with a SaaS solution for secure access management in AWS environments, enhancing DevOps workflows and ensuring robust security measures.      Used AWS VPC to design and create infrastructure by configuring NAT gateways, subnets in various areas for high availability and security.      Configured inbound and outbound traffic to the internal network Interfaces, Subnets and Virtual Machines. Created route tables between servers and Internet Gateway for internal communication to allow public traffic into own private network.      Creating a unified dashboard that effortlessly syncs sales, inventory, and customer data from various platforms to provide real-time insights for informed decision-making.      Implemented continuous integration pipelines with Jenkins, Docker, and Kubernetes for scalable NoSQL databases like MongoDB.      Ensured seamless deployment and monitoring, optimizing performance and reliability.      Working with various departments, I helped transition our company's data systems to the cloud, ensuring seamless communication and integration of information across teams.      Created and managed policies for S3 buckets and used them for backup and storage on AWS. Encrypted S3 buckets for all CloudTrail logs encrypted and policies to access the logs.      Expert in writing Lambda functions and implemented various tasks like, triggering an action to copy the files in between the S3 buckets and taking EBS snapshots in regular intervals.      Used JSON templates to design and create a stack in AWS Cloud Formation to automate the infrastructure.      In AWS cloud, think of smoothly transferring your business records from an old filing cabinet to a secure digital archive (data migration), ensuring important files are safely stored and accessible whenever needed.      Incorporated Jest test environment to enhance code quality and reliability during my work experience.      Deployed artifacts into Nexus repository and build tools to develop build artifacts using Maven and defined various plugins, dependencies in Maven pom.xml.      Installed Multiple Plugins in Jenkins UI for building pipelines, build releases and created a master, slave configuration to implement multiple parallel builds.      Created Jenkins jobs using various Jenkins files using groovy script via DSL (domain specific language) and used them as various workflow scripts.      Integrated Jenkins with GitHub repositories, Nexus Artifact repository and pushed successful build code using Maven.      Written Chef Cookbooks for DB configurations to optimize and modularize product configuration, converting production support scripts to Chef Recipes and AWS server provisioning using Chef Recipes.      Created and managed Ansible playbooks and roles for automating the creation of subnets, instance provisioning, package installations and deployed web applications on Apache web servers, Tomcat Servers, and standalone server environments.      Created Docker container environment and used Docker consoles for managing the application life cycle and automated application deployment in the cloud.      Build the Docker registry for container management and orchestrated Kubernetes Pods, Clusters and then managed containerized applications in Kubernetes.      Automated deployment on WebSphere and WebLogic Application Servers using Shell and Perl Scripting for building the Linux environment.      Setup JIRA bug and issue tracker for verifying the integrity, availability of server resources and configuring various workflows and plugins.Environment: AWS, Azure, GIT, MAVEN, Nexus, Jenkins, Chef, Docker, Kubernetes, Docker swarm, Python, Shell, Bash, Perl script, MySQL, Nagios, and JIRA, Node.js, jestUnited Airlines - Gurgaon                                                                              Jan 2019 - Nov 2020DevOps engineer
Responsibilities:      Architect, design, and create complete enterprise solutions by incorporating new technologies and improving current ones to satisfy changing business requirements.      Led the design and deployment of a scalable microservices architecture using SOA principles, enhancing system flexibility and interoperability.      Implemented an Event Driven architecture leveraging Django and Spring frameworks, optimizing data processing, and ensuring real-time event handling.      The successful migration of a monolithic application to a microservices architecture, implementing SOA and Event Driven patterns, while integrating MVC, Django, and Spring frameworks for enhanced scalability. Additionally, optimized resource utilization by adopting Serverless architecture for specific functions.      Work together in discovery sessions with vendors, business analysts, and stakeholders to create secure, scalable enterprise IT solutions that follow Agile SDLC processes.      Lead the charge to migrate on-premises messaging solutions to Cloud Service Provider alternatives, design and implement data archival solutions, and lead the migration of legacy applications from SFTP to modern platforms.      As you replace and upgrade application technology platforms, take the lead technically to ensure scalability, high availability, and operations supportability.      setting up mirrored servers across different locations to instantly switch data processing in case of server failure, ensuring seamless database access during any disruptions.      Implemented TeamCity for CI/CD to automate our software deployment process.      With TeamCity, we streamlined our build pipelines and ensured smooth delivery of updates, enhancing our operational efficiency, and reducing deployment errors.      Deploying a Kubernetes cluster with Terraform enabled us to automate infrastructure setup, streamlining our development process.      Using Terraform, orchestrated the deployment of booking service on AWS, configuring EC2 instances, networking, and security groups seamlessly.      Implemented Gradle to manage dependencies and build processes, seamlessly integrating with existing project structures.      Creating a pom.xml with Gradle involves using the maven-publish plugin and configuring the publication details in the build script.
      Using SonarQube to automate code quality checks and ensure continuous improvement in software development pipelines.      Trivy scanner to perform container image vulnerability scanning in CI/CD pipelines, enhancing security posture, and ensuring compliance.      Using Ansible to automate configuration management and deployment tasks across diverse infrastructure, simplifying maintenance and ensuring consistency.      Nexus Repository Manager to efficiently manage and distribute software artifacts across their CI/CD pipelines, ensuring reliable and secure software delivery.      Using Grafana and Prometheus, monitoring and visualizing real-time metrics from their infrastructure, enabling proactive identification and resolution of performance issues.      It streamlines the process of generating a Maven-compatible project descriptor for Java projects.      Automated environment configuration and deployment using Puppet. Configured puppet Master and Nodes by writing modules and manifest scripts thereby specifying and installing environment dependencies.      Developed shell scripts to monitor performance and utilization of resources on cloud and on premise. Also wrote scripts to automate daily tasks of checking software environment, updating daily backups.      Incorporated Jest test environment to enhance code quality and reliability during my work experience.      Ensured code quality and functionality by writing test cases in Selenium. Documented the results and generated reports pointing to the test case outcomes.      Engage in Agile SDLC activities such as concurrent application development aimed at multiple future releases, sprint discovery, standups, and retrospectives.      Prioritize high-priority production issues in a proactive manner, providing a root cause analysis and quick resolution.      Using GitHub Collaborating with team members by creating branches, making changes, and submitting pull requests for code review and integration.      Processes and procedures should be documented to improve workflows and knowledge sharing.Environment: AWS, EKS, VPC, VPN, IAM, RDS, Active Directory, EC2, SNS, Terraform, Puppet, Team City, Ant, Selenium, Docker, git Hub, SonarQube, Ansible, Nexus, Grafana Prometheus, Trivy, Splunk, JIRA, jest, Node.js, WCAG 2.0, java.
Augnito-Bengaluru, India						                         May 2016 - Dec 2018DevOps EngineerResponsibilities:      Created EC2 instances using AWS AMI s and configured the launched instances with respect to the application.      Used AWS VPC to design and create infrastructure by configuring NAT gateways, subnets in various areas for high availability and security.      Configured inbound and outbound traffic to the internal network Interfaces, Subnets and Virtual Machines. Created route tables between servers and Internet Gateway for internal communication to allow public traffic into own private network.      Managed users, groups with specific policies and attached them using IAM accounts and implemented Multi Factor Authentication to meet security compliance.      Created and managed policies for S3 buckets and used them for backup and storage on AWS. Encrypted S3 buckets for all CloudTrail logs encrypted and policies to access the logs.      Expert in writing Lambda functions and implemented various tasks like, triggering an action to copy the files in between the S3 buckets and taking EBS snapshots in regular intervals.      Used JSON templates to design and create a stack in AWS Cloud Formation to automate the infrastructure launching. Synchronized data from SQL databases to Windows Azure using Data Sync jobs and improved the performance of data transfer between Azure SQL and WCF services by creating Cache memory.      Expertise in Branching, Merging, Tagging, and maintaining the version across the environments using SCM tools like GIT and Subversion (SVN) on Linux platforms. Responsible for design and maintenance of the GIT Repositories, views, and the access control strategies.      Deployed artifacts into Nexus repository and build tools to develop build artifacts using Maven and defined various plugins, dependencies in Maven pom.xml.      Created Jenkins jobs using various Jenkins files using groovy script via DSL (domain specific language) and used them as various workflow scripts.      Integrated Jenkins with GitHub repositories, Nexus Artifact repository and pushed successful build code using Maven.      Worked on chef server for bootstrapping nodes for on-site applications, cookbooks, recipes and uploaded them to chef server to manage on-site application and services.      Created and managed Ansible playbooks and roles for automating the creation of subnets, instance provisioning, package installations and deployed web applications on Apache web servers, Tomcat Servers, and standalone server environments.      Created Docker container environment and used Docker consoles for managing the application life cycle and automated application deployment in the cloud.      Configured the containers using YAML scripting through Docker container snapshots, Docker-compose, container removing, managing image and configured the container directory structures using YAML scripting.      sed Kubernetes for automating the docker container deployment and set up Docker swarm clusters to build the corn jobs to avoid the downtime/failover.      Build the Docker registry for container management and orchestrated Kubernetes Pods, Clusters and then managed containerized applications in Kubernetes.      Using Nagios to monitor the Application performance and Infrastructure health by analyzing the user dashboard and logs management.      Automated deployment on WebSphere and WebLogic Application Servers using Shell and Perl Scripting for building the Linux environment.      Incorporated Jest test environment to enhance code quality and reliability during my work experience.      Setup JIRA bug and issue tracker for verifying the integrity, availability of server resources and configuring various workflows and plugins.      Environment: AWS, Azure, GIT, MAVEN, Nexus, Jenkins, Chef, Docker, Kubernetes, Docker swarm, Python, Shell, Bash, Perl script, MySQL, Nagios, and JIRA, Node.js.InsertV Consultancy Services, India.                                                                                  Jan 2015 - Apr 2016Software Engineer      Responsibilities:      Created Java based applications, including XML Web services and Web applications.      Implemented the user interface using java script, JSP, AJAX, HTML and CSS.      Managed the struts-config.xml file for all action mappings.      Used J2EE technologies like MVC, business delegate and DAO.      Assisted in the development of Action Classes and Action Forms.      Interacted with internal users and clients to learn and document requirements that are then used to produce business requirements documents.      Created user-friendly web pages to maintain a database for products.      Designed SOA (Service Oriented Architecture) and used at deploying different applications.
      Maintain the documentation, processes, guidelines, and procedures of the project.      Writing technical requirements from a critical phase.      Implemented GPS tracking system for the registered users.      Designed use cases using Rational Rose for GPS Tracker application.      Interact with designers to understand software limitations.      Actively involved in tuning SQL queries.      Customized interfacing with other applications both in front-end and back-end application development.      Tested the application and developed test cases using JUnit.      Code Review and Troubleshooting.Environment:   Java 1.6, JSP, HTML, CSS, JavaScript 1.7, AJAX, SQL, JDBC, Tomcat 7, STRUTS MVC, Waterfall Methodology.

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