SUMMARY

• A dynamic professional with 7+ years of IT experience which comprises of agile Methodologies and implementations along with System Administration, Software Configuration Management (SCM) which encompasses experience in Build/Release Management, Implementing CI/CD Pipelines, Cloud Computing with Microsoft Azure and Amazon Web Services and Google Cloud (GCP). Good understanding of the principles and best practices of Software Configuration Management in Agile, Scrum and Waterfall Methodologies.
• Expertise in Microsoft Azure services such as Virtual Networks, Blob storage, Data Factory, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Service Bus, Load Balancing, ARM template, Application Gateways, Auto Scaling, API Management, Network Services, deploying Web Apps, monitoring by Application Insights and creating Web - Jobs.
• Worked on deploying and managing Azure Kubernetes services in which deployed microservices using Azure container registry and Azure Kubernetes services by giving authentication deployed microservices into cluster for scaling and management on Azure cloud services and also worked on Azure Web role.
• Worked in Managing the windows Azure infrastructure for customers depending on their requirement, worked on Microsoft Azure Storage Accounts, blob storage, also responsible for web application deployments over cloud services (web and worker roles) on Azure using VSTS and PowerShell.
• Experienced in writing AZURE Resource Manager (ARM) Template to deploy multiple resources and extensive experience in designing custom build steps using PowerShell scripts and ARM templates to automate the provisioning and deployment process.
• Experience in Designing and implementing scalable cloud-based web applications using Azure and GCP.
• Expertise on AWS services such as EC2, VPC, IAM, RDS, ELB, EKS,ECS,AutoScaling,S3,S3 Glacier, Elastic Beanstalk, Lambda, Redis Cache, Route53,Ops Works, CloudWatch, Cloud Formation, Redshift, DynamoDB, SNS, SQS, SES, Storage Gateway, CloudTrail.
• Expertise in Setting up scalability for application servers using command line interface for Setting up and administering DNS system in AWS using Route53 Managing users and groups using amazon Identity Access Management (IAM).
• Strong Experience with AWS IAM service in creating IAM roles for users and groups, defining roles and policies and Identity providers And also used them to restrict access to certain buckets from certain persons and experience in setting up and managing ELK Stack to collect and integration with AWS CloudWatch.
• Experience in AWS services such as EC2, ELB, Auto-Scaling, EC2 Container Service, S3, IAM, VPC, RDS, DynamoDB, Certificate Manager, Cloud Trail, Cloud Watch, Lambda, Elastic Cache, Glacier, SNS, SQS, Cloud Formation, Cloud Front, EMR, Elastic File System, Storage Gateway.
• Expertise in Setting up scalability for application servers using command line interface for Setting up an administering DNS system in AWS using Route53 Managing users and groups using amazon Identity Access Management (IAM).
• Experienced in maintaining micro services using Kubernetes as front-end orchestrator for docker containers and worked on setting up the Kubernetes Cluster on AWS(EKS) for testing the different features and also to discover and proxy requests to appropriate minion and in creating Kubernetes cluster with RHEL and Vagrant.
• Experience in building and deploying the application code using Kubernetes CLI called kubectl, kubelet, kubeadm, Kub spray and schedule the jobs using Kube scheduler. Managed K8s charts using Helm and created reproducible builds of the Kubernetes applications.
• Implemented in writing Terraform scripts, performing validation and Deploying and managing AWS cloud infrastructure and involved in setting up Terraform continuous build integration system.
• Experience in Orchestrating and migrating CI/CD processes using Cloud Formation and Terraform Templates and Containerized the infrastructure using Docker, which was setup in Vagrant, AWS and VPCs.
• Set up aGCPFirewall rules in order to allow or deny traffic to and from theVM'sinstances based on specified configuration and usedGCPcloudCDN(content delivery network) to deliver content fromGCPcache locations drastically improving user experience and latency.
• Experience in providing highly available and fault tolerant applications utilizing orchestration technologies likeKubernetes and Apache MesosonGoogle Cloud Platform.
• Experience in creating dashboards inStack driver. Can setup alerting and create custom metrics using google API developer tools.
• Using Jenkins to deploy code to Google Cloud, create new namespaces, creating docker images and pushing them tocontainer registryofGoogle Cloud.
• Experience in Docker tools like Docker swarm and compose. Docker Swarm provides native clustering functionality for Docker containers, Docker Compose used to run the multi-Docker container applications and also Experience in Kubernetes orchestration.
• Extensively worked on Chef Roles, Cookbooks, Recipes, Templates, Resources, Attributes & Data bags. Proficient in the setup of Chef Servers, workstations & bootstrapping infrastructure Chef Nodes for configuration management.
• Experience in using Jenkins pipelines to drive all microservices builds out to the Docker images and stores in Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes and also performed Jenkins jobs for deploying using Ansible playbooks and Bitbucket.
• Experienced in configuring CI/CD pipeline in Jenkins to implement Continuous Integration and Continuous Delivery process, accommodate software teams with compilation and artifact deployment requests in an AWS cloud environment.
• Proficient in Scripting languages like Bash, Ruby, Perl, Python and Power shell, JavaScript and XML for automating administrative tasks.
• Installed, Configured, Managed Monitoring Tools such as Splunk, Nagios for Resource Monitoring/Network Monitoring /Log Trace Monitoring.

TECHNICAL SKILLS

Cloud: AWS, Azure, GCP

Configuration Management Tools: Chef, Ansible, Puppet, Container Tools Docker.

Mark-up/XML Technologies: HTML5, CSS3, JavaScript, TypeScript, jQuery, Angular JS, Node JS, XML, AJAX, JSON

J2EE Technologies: J2EE, Spring, JSP, Servlet, JDBC, JSF, JPA, JDBC, JSF

Tools: and Framework: Spring, Hibernate, Log4j, Spring MVC, Spring IOC, Spring AOP, JUnit, SOAP UI, Spring Boot, Spring Batch, Kafka

CI/CD Tools: Jenkins, Azure DevOps, AWS code pipeline, Bamboo

Build Tools: Apache Maven, Apache ANT, Hudson, Gradle

Version Control Tools: GIT, GIT LAB, Bit Bucket, SVN

Databases: Oracle, MySQL, NoSQL, Postgres, Mongo DB, Cassandra

Virtualization Tools: VMware, Virtual box, Docker, Kubernetes, VMware, XEN, KVM, Vsphere client.

Container Tools: Docker, Docker Compose, Docker swarm

Orchestration Tools: Kubernetes, Terraform

Web/Application Servers: Web Logic, Apache Tomcat, Web Sphere and JBOSS

Scripting Languages: Python, Groovy, YAML, JSON, Bash, Shell Scripting

Monitoring Tools: Splunk, Cloud watch, ELK, Nagios, JIRA

Operating Systems: Windows, Linux (Ubuntu, CentOS)

PROFESSIONAL EXPERIENCE

Confidential, Omaha, Nebraska

Senior Cloud Engineer

Responsibilities:

• Experienced Cloud DevOps engineer in Automating, Configuring and deploying instances AZURE Cloud environment and Data centers.
• Developed automation system using PowerShell scripts and JSON templates to remediate the Azure services.
• Worked on implementing backup methodologies by Power Shell Scripts for Azure Services like Azure SQL Database, Key Vault, Storage blobs, App Services etc.
• Created Azure services using ARM templates (JSON) and ensured no changes in the present infrastructure while doing incremental deployment.
• Upgrades version of Redis 4 to Redis 6 by integrating the terraform and GitHub actions.
• Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.
• Proficient with container systems like Docker and container orchestration like Kubernetes, worked withTerraform.
• Experience in Setting up the build and deployment automation for Terraform scripts .
• Creating and maintaining Infrastructure for Applications in Azure using Terraform. Building & Automating CICD pipelines for different applications.
• Experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Resource Groups, VPN.
• Backend experience, with data-processing using NoSQL: Redis Cache
• Created CI/CD Pipelinesin Azure DevOpsenvironments by providing their dependencies and tasks.
• Managed servers on the Microsoft Azure Platform & created Azure Virtual Machines instances using Ansible Configuration Management.
• Responsibilities included configuration and deployment of Redis Cache Environments for test, development and production were built from the ground up.
• Worked on GIT to maintain source code in Git and GitHub repositories.

Environment: Azure, Terraform, Kubernetes, Docker, GitLab, CICD pipelines, PowerShell, YAML, NO SQL, Redis Cache, Visual studio.

Confidential, North Carolina

Senior Cloud Engineer

Responsibilities:

• Worked in building and Installing servers through Azure Resource Manager Templates or Azure Portal. Migrating an On-premises virtual machine to Azure Resource Manager Subscription with Azure Site Recovery and deployed to Azure and customized build process using PowerShell.
• Worked in configuring Cloud platform such as Virtual Networks Multi-site, Cross-site, VMs, Azure Active Directory, Load Balancers, Azure SQL, CloudServices etc. and Created Azure Backup vault and protecting required VMs to take the VM level backups in Azure.
• Worked on Power Shell scripts to automate the Azure Cloudsystem in creation of VM, Resource groups, Web Applications, Azure Storage Blobs & Tables, firewall rules and used Python scripts to automate day to day administrative tasks and also Automated and orchestrated workloads using terraform, Ansible, Salt stack and ARM Templates over Microsoft Azure.
• Experience inAzureActive Directory (AD), ADFS,Active Directory Domain Service, SSO and MFA and security.
• Experience in dealing with Windows Azure IaaS - Virtual Networks, Subnets, Load balancers, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling, and Traffic Manager.
• Extensive experience in Windows Azure(IaaS) migrating like creating Azure VMs, storage accounts, VHDs, storage pools, migrating on premise servers to Azure and creating availability sets in Azure.
• Worked in developing the API’S to see users who hit the application URL to check the user telemetry and developed API to fetch the data to telemetry data according to dates which would be shown in JSON.
• Implemented Blue/Green deployment strategy by creating new applications which are identical to the existing production environment by using automation frameworks such as ARM and terraform templates.
• Extensively worked on Terraform modules that had version conflicts to utilize during deployments to enable more control or missing capabilities. Managed different infrastructure resources, like physical machines, VMs and Docker containers using Terraform.
• Used Terraform to create, change and improve production infrastructure and maintained versioning infrastructure safely and efficiently by custom in-house solutions.Created and maintained Continuous Integration (CI) using tools Azure DevOps (VSTS) over multiple environments to facilitate an agile development process which is automated and repeatable, enabling teams to safely deploy code in Azure Kubernetes Services (AKS) using VSTS by YAML scripting.
• Created several pods using Master and Minion architecture of Kubernetes and developed microservice on boarding tools leveraging Python allowing for easy creation.
• Extensively used Helm charts for managing Kubernetes environment and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages and used Kubernetes and Docker for the runtime environment for the CI/CD system to build, test, and deploy.
• Extensively worked in Deploying Microservices on AKS Cluster and also in Building CI/CD Pipelines for applications using Different CI/CD Tools.
• Worked with Docker container snapshots, attaching to a running container, removing images, managing directories structures and managing containers and also dealt with Docker Registry, Docker Hub, making Docker Images and taking care of various Images and space setups.
• Created a dynamic horizontal scaling cluster management platform using Kubernetes to deploy Dockerized micro service containers. Worked on Deployment Automation of all micro services to pull image from Private ACR registry and deploy to Kubernetes Cluster.
• Worked with Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, proactively manages change and well versed with Ansible Playbooks, modules.
• Built end to end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to Nexus and UDeploy to orchestrate changes across servers and components.
• Used Jenkins as a continuous integration tool to creating new jobs, managing required plug-ins, configuring the jobs selecting required source code management tool, build trigger, build system and post build actions, scheduled automatic builds, notifying the build reports.
• Developed build and deployment scripts using MAVEN as build tools in Jenkins to move from one environment to other environments for Continuous integration.Developed Python Scripts to automate various system tasks, OS patches for dev environments, and deployment of applications to testing/prod environments using Python OS modules.
• Configured Splunk dashboards and adding data to Splunk by adding log files. Utilized Splunk to extract and analyzeCloud Watch logs, Created Splunk queries and setup alerts and Implemented solution to perform Zero downtime release in release in production, created dashboards for verification process using jQuery, JavaScript and CSS.
• Designed User Defined Routes with custom route tables for specific cases to force tunnelling to the Internet via On-premise network and control use of virtual appliances in the customer's Azure environment.
• Associated routes with Virtual networks via the route table per relationship constraints.
• Managed IP Forwarding for VMs and role instances acting as virtual appliances.
• Configured BGP routes to enable ExpressRoute connections between on premise data centers and Azure cloud.
• Coordinating with Microsoft for increasing subscription limit like- Core limit and Cloud Services. Handling and Resolving Client's Issues remotely.
• Client Interaction over the Phone or Emails to provide instant response. Extensively created stored procedures, functions, Triggers, indexes and Views. provide consulting and cloud architecture for premier customers and internal projects running onMicrosoft Azure platformfor high-availability of services, low operational costs.
• Handle escalated Support tickets till closure for MSAzure IaaS platform.
• Implemented AWS Security Groups which acted as virtual firewalls that controls the incoming traffic and configured the traffic allowing reaching one or more AWS EC2 instances Virtual private cloud (VPC), subnets, Internet Gateways, S3 bucket and route53 under Amazon Cloud Environment.
• Set up Single sign-on (SSO) and generate API tokens for different users accessing the services on Kubernetes environment.
• Use AWS secrets manager as kubernetes external secret manager and store all the secrets.
• Worked on setting up the Rancher kubernetes environment, version 1.6 and 2.0 with AWS as a downstream and Weaveworks as CNI.
• Experience with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs,Change Automation and extensively used Auto scaling for launching Cloud instances while deploying microservices and used Terraform to map more complex dependencies and identify network issue.
• Terraform AWS ECS tasks, usage of multi-region Infra spin-up with locals, variables, local-exec, remote-exec, nested modules, secures Dynamo DB lock with S3 backend configured for tf state files.
• Setting up scalability for application servers using command line interface for Setting up and administering DNS system in AWS using Route53 Managing users and groups using amazon identity access management (IAM).
• Created Python scripts to totally automate AWS services which includes web servers, ELB, Cloud Front distribution, Database, EC2 and database security groups, S3 bucket and application configuration, this script creates stacks, single servers or joins web servers to stacks
• Provided highly durable and available data by using S3 data store, Versioning, Lifecycle Policies, and create AMIs for mission critical production servers for backup.
• Worked on AWS Lambda functions in Python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.
• Worked with Kubernetes to automate deployment, scaling and management of web Containerized applications and Integrated Kubernetes with Registry, networking, storage, security and telemetry to provide comprehensive infrastructure and orchestrate containers.

Environment: Azure, Aws, Terraform, Kubernetes, OpenShift, Docker, Ansible, Jenkins, Maven, NEXUS, artifacts, GIT, Splunk, Dyna Trace, Python, PowerShell, YAML, MySQL, Postgres SQL.

Confidential, Nashville, Tennessee

Senior Cloud Engineer

Responsibilities:

• Worked on Setting up of CI/CD pipeline using continuous integration tools such as Cloud Bees Jenkins and automated the entire AWS EC2, VPC, S3, SNS, RedShift, EMR based infrastructure using Terraform, Chef, Python, Shell, Bash scripts and managing security groups on AWS and custom monitoring using CloudWatch.
• Involved in writing Groovy Scripts for building CI/CD pipeline with Jenkins file, Terraform scripts and Cloud Formation Templates.
• Launched AWS EC2 instances using Amazon Web Services such as Linux, Ubuntu, RHEL for Development, Test and Production Environments and set up AWS security groups which behaves as Virtual firewalls controlling the traffic by allowing it to reach one or more AWS EC2 instances.
• Worked on optimizing infrastructure operations of GCP by designing target state architectures for the next generation of GCP infrastructure, leveraging the latest services and innovations from GCP Work closely with GCP Platform Engineer to in corporate solutions into custom designed cloud-based applications.
• Created projects, VPC’S subnetworks, GKE Clusters for environment and prod using Terraform.
• Used Google stack driverfor monitoring the logs of bothGoogle Kubernetes Engine (GKE) and GCP instances and configured alerts from Stack driver.
• Used GCP cloud content delivery network (CDN) to deliver the content from GCP cache locations to improve the user experience and latency. Migrating the Legacy application into GCP platform and managing the GCP services
• Worked on the migration of mobile application from on-premises to GCP by making the chunk of code into microservices using Google cloud SDK Shell.
• Build severs using GCP, importing values, launching EC2 instances, RDS, creating security groups, auto-scaling, Redis, Redshift, Route 53, load balancer(ELBs) in the defined virtual private connections.
• Leveraged GCP Services to process and manage the data from streaming and file-based sources
• Performed data Extractions using Dataflow streaming from Kafka.
• Used Spring Boot Actuator to monitor and manage the application in production environment.
• Built on-premise data pipelines using Kafka and Spark streaming using the feed from API streaming Gateway REST service.
• Implemented the application usingSpring BootFramework and handled the security usingSpring Security.
• Provide the permissions and required access to all thepub/sub topicsandsinksto push/write the data toStack driver.
• Configuring and deploying instances on GCP environment and Data centers, also familiar with compute.
• Migrated the Legacy application into GCP and maintained the GCP servers.
• Build tool, like ANT and Maven used it on Java projects for the development of build artifacts such as War & ear on the source code.
• Used Chef for configuration management of hosted Instances within GCP. Configuring and Networking of Virtual Private Cloud (VPC).
• Worked, managed Ansible Playbooks with Ansible roles, group variables, inventory files, copy and remove files on remote systems using file module.
• Automated configuration of infrastructure and deployment of web applications on webservers Apache and Java on application servers like Tomcat by using Ansible playbooks.
• Involved in managing existing Tomcat Webservers and automated the configuration of new servers.
• Administered and supported GitHub Enterprise version control tool.
• Building/Maintaining Docker/ Kubernetes container clusters managed by KubernetesLinux, Bash, GIT, Docker, on GCP.
• Implemented REST services by Golang with microservices architecture and developed new RESTful API services that work as middleware between applications and third-party APIs using Golang.
• Involved in setting up JIRA as defect tracking system and configured various workflows, customizations, and plugins for the JIRA bug/issue tracker.
• Expertise in creating clusters using Kubernetes, creating pods, Replication controllers, Deployments, Labels, Health checks and ingress by writing Ruby scripts and hands on experience in building and deploying the application code using CLI of Kubernetes like kubectl and kubelet..

Environment: AWS,GCP, Terraform, Docker, Docker Registry, CLI, Ansible, Maven, Kubernetes, Jenkins, GIT, GitHub, Selenium, webservers Apache, Tom Cat server, Rest APIs, Power shell, Selenium, Golang, Jira.

Confidential

AWS DevOps Engineer

Responsibilities:

• Used multiple EC2 instances at the same time and provided highly durable and available data by using S3 data store, versioning, lifecycle policies, & create AMIs for mission-critical production server’s backup.
• CreatedS3 buckets and managing policies for S3 buckets and Utilized S3 bucket and Glacier for storage and backup on AWS and provided security and managed user access and quota using AWSIdentity and Access Management (IAM), including creating new Policies for user management.
• Designed and implemented scalable, secure cloud architecture based on Amazon Web Services. Leveraged AWS cloud services such as EC2, auto-scaling, and VPC (Virtual Private Cloud) to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts and are able to quickly evolve during development iterations
• Created and configured S3 buckets in AWS environment to store files, sometimes which are required to serve static content for web application and with various life cycle policies to archive the infrequently accessed data to storage classes based on requirement
• Used security groups, network ACL's, internet gateways and route tables to ensure a secure zone for organization in AWS Public Cloud and also used IAM for creating, managing and deleting roles, users, groups and implemented MFA to provide additional security to AWS accounts and its resources
• Worked with Docker hub, creating Docker containers, images and handling multiple images primarily for middleware installations.
• Implemented continuous integration using Jenkins. Configured security to Jenkins and added multiple slaves for continuous deployments, Used Git with Jenkins to integrate to automate the code checkout process .
• Extensively worked on Jenkins CI/CD pipeline jobs for end-to-end automation to build, test and deliver artifacts and troubleshoot the build issue during the Jenkins build process. Configuring, troubleshooting and monitoring build jobs in Jenkins.
• Code Coverage-Installed SONARQUBE on Jenkins server and configure with the build process for the code analysis process for better code quality and code metrics, and rapid feedback for development teams and managers.
• Responsible for building/deploying consistently repeatable deployments to production and non-production environments using JENKINS& BUILD Pipelines, MAVEN, PowerShell.
• Written Chef Cookbooks and recipes to Provision several pre-production environments consisting of Cassandra database installations and several proprietary middleware installations.
• Developed build and deployment scripts using MAVEN as build tools in Jenkins to move from one environment to other environments and also experienced in Web designing technologies like HTML5, XHTML, JavaScript, CSS3, .Net, jQuery, Ajax and JSON.
• Good Knowledge in scripting languages like Unix Shell, bash, groovy, Python to automate the deployments.
• Experience developing Splunk queries and dashboards targeted at understanding application performance and capacity analysis and increased data costs capacity and reducing cost. Involved in monitoring and troubleshooting Network like TCP/IP, NFS, DNS and SMTP in Linux servers and System Activities like CPU, Memory, Disk and Swap space usage to avoid any performance issues.

Environment: AWS, Cloud Formation, GIT, Jenkins, Docker, Chef, JIRA, Python Scripting, Nagios.

Confidential

AWS DevOps Engineer

Responsibilities:

• Developed and implemented Software Release Management strategies for various applications according to the agile process.Installed, Configured and Administered Jenkins Continuous Integration Tool.
• Developed build and deployment scripts using MAVEN as build tools in Jenkins to move from one environment to other environments.
• Developed automation framework for Application Deployments to the cloud environments.
• Worked on Managing the Private Cloud Environment using Chef.
• Performed Branching, Tagging, Release Activities on Version Control Tools: SVN, GIT.
• Developed Perl and shell scripts for automation of the build and release process, developed Custom Scripts to monitor repositories, Server storage.
• Used Maven as build tool on Java projects for the development of build artifacts on the source code.
• Deployed the Java applications into web application servers like JBoss.
• Performed and deployed Builds for various Environments like QA, Integration, UAT and Productions Environments
• Troubleshoot and resolved Build failures due to infrastructure issues reduced by 95% stabilizing the build process. Setup and executed process to code review system effectively.
• Responsible for defining branching & merging strategy, check-in policies, improving code quality, automated Gated Check-ins, defining backup and archival plans.
• Documented release metrics, software configuration process. Used Maven scripts to build the Source code. Supported and helped to create Dynamic Views and Snapshot views for end users.

Environment: s: AWS (IAM, EC2, S3, EBS, Glacier, ELB, CloudFormation, CloudWatch, CloudTrail,Route53, RDS), Git, Chef, Bash, Shell, Maven, Jenkins, Apache Tomcat.

Confidential

Java Developer

Responsibilities:

• Involved in the implementation of design using vital phases of the Software development life cycle (SDLC) that includes Development, Testing, Implementation and Maintenance Support in WATERFALL methodology.
• Experience with Agile Extreme Programming (XP) development and Scrum life cycle practices, or a strong desire to learn including: pair programming, test driven development, continuous integration, iterative delivery, retrospection.
• Used JAVA 1.8 features like Lambda Expressions, Parallel Streams and functional interfaces.
• Implemented CoreJava concepts such as Multi-Threading, Exception Handling, Collection APIs, Garbage collections for dynamic memory allocation to implement various features and enhancements.
• Used JIRA for tracking the Project Stories in Agile Methodology.
• Responsible for designing, coding and developed the application in J2EE using Struts MVC.
• Developed the ANT scripts for preparing WAR files used to deploy J2EE components.
• Experience with various Relational Databases like Oracle, MySQL, MS SQL Server and No SQL Databases like Mongo DB and Dynamo DB.
• Proficient in writing complex queries using SQL Joins, Stored Procedures, Views and Indexes.
• Experience in different IDEs such as Eclipse, RAD, Spring Tool Suite (STS), JDeveloper and IntelliJ.
• Having measurable experience on application building tools like Maven, Gradle, Jenkins and ANT.
• Experience in development, deployment and troubleshooting Web based and enterprise-based applications on Windows, UNIX and Linux platforms.
• Experience with adhering to strict coding standards in a team development environment.
• Involved in Bug fixing of various modules that were raised by the testing teams in the application during the Integration testing phase.

Environment: s: Java, J2EE, AWS, Waterfall Methodology, ANT, Eclipse IDE, SQL, Jenkins, Maven, Jira, JDBC, Git, Jenkins.