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Sahithi Devaneni - Sr. AWS/AZURE Cloud DevOps Engineer

[email protected]

Location: Dallas, Texas, USA

Relocation: remote

Visa: h1b

SAHITHI DEVINENI Sr. AWS/AZURE Cloud DevOps Engineer M: 6787127608 E: [email protected] PROFESSIONAL SUMMARY: Sr. Cloud engineer with over 10years experience in Cloud (Azure, AWS), DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). I can implement effective strategies for N - Tier application development in both Cloud and On-premises environments. Experience in dealing with Unix/Linux and Windows server administration. Travelled Onsite to Russia for Architecting and deploying the cloud and multiple applications on the data center servers. Expertise in Architecting and Implementing Azure Service Offering, such as Azure cloud services, Azure storage, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor, and Azure Service Bus. Hands on experience on Backup and restore Azure services and in Design and configure Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Azure cloud services, Blob storage, Active directory, Azure Service Bus, Cosmos DB. Expertise in Azure Scalability and Azure Availability - Build VMs availability sets using the Azure portal to provide resiliency for IaaS based solution and Virtual Machine Scale Sets (VMSS) using Azure Resource Manager (ARM) to manage network traffic. Experience in migrating on-premises applications to Azure and configured VNETs and subnets as per the project requirement also performed PowerShell scripting to do Patching, Imaging, and Deployments in Azure. Knowledge of Azure Site Recovery and Azure Backup Installed and Configured the Azure Backup agent and virtual machine backup, Enabled Azure Virtual machine backup from the Vault and configured the Azure Site Recovery (ASR). Implemented a CI/CD pipeline using Azure DevOps(VSTS,TFS) in both cloud and on-premises with GIT, MS Build, Docker, Maven along with Jenkins plugins. Experience in writing Infrastructure as a code (IaC) in Terraform, Azure resource management, AWS Cloud formation. Created reusable Terraform modules in both Azure and AWS cloud environments. Experience in Infrastructure Development and Operations involving AWS Cloud Services, EC2, EBS, VPC, RDS, SES, ELB, Auto scaling, Cloud Front, Cloud Formation, Elastic Cache, API Gateway, Route 53, Cloud Watch, SNS. Expertise in building CI/CD on AWS environment using AWS Code Commit, Code Build, Code Deploy and Code Pipeline and experience in using AWS Cloud Formation, API Gateway, and AWS Lambda in automation and securing the infrastructure on AWS. Experience in changing over existing AWS infrastructure to Server less architecture (AWS Lambda, AWS Kinesis) through the creation of a Server less Architecture using AWS Lambda, API gateway, Route 53, S3 buckets. Experience in Kubernetes to deploy scale, load balance, and manage Docker containers with multiple names spaced versions using Helm charts. Experience in managed Kubernetes services such as Google Kubernetes Engine (GKE), Kubernetes and AWS Elastic container service. Hands-on in using Open Shift for container orchestration with Kubernetes, container storage, automation, to enhance container platform multi-tenancy. Experience with Open Shift, Kubernetes architecture and design, troubleshooting issues and multi-regional deployment models and patterns for large-scale applications. Proficiency in using Docker Hub, Docker Engine, Docker images, Docker Weave, Docker Compose, Docker Swarm, and Docker Registry and used containerization to make applications platform when moved into different environments. Proficient in creating Docker images using Docker File, worked on Docker container snapshots, removing images, and managing Docker volumes and implemented Docker automation solution for CI/CD model. Extensive experience in installing, configuring and administering Jenkins CI tool on Linux machines and used Jenkins Pipelines to drive all Microservices builds out to the Docker Registry and then deployed to Kubernetes , Created Pods and managed using Kubernetes. Involvement in developing APIs using Kubernetes to manage and specify the copies of the containers to run the actual servers in the cloud environment. Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes and deployed Docker containers through Kubernetes to manage the microservices using its Nodes, Pods, Config Maps, Selectors, Services. Expertise in configuring the monitoring and alerting tools according to the requirement like Prometheus and Grafana, setting up alerts and deployed multiple dashboards for individual applications in Kubernetes. Experience in Configuration management tools such as Chef, Ansible, and Puppet. Wrote Chef recipes and cookbooks in Ruby scripting. Hands-on experience in bootstrapping the nodes using knife and automated by testing Chef Recipes, Cookbooks with test-kitchen and chef spec. Refactored Chef and Ops Works in AWS cloud environment. Experienced in Ansible Tower, which provides an easy-to-use dashboard and role-based access control and in developing Ansible playbooks for managing the application/OS configuration files in GIT hub, integrating with Jenkins, and Verifying with Jenkins plugins, deploying the application in Linux environment. Experience in Ansible setup, managing hosts file, Using YAML linter, authoring various playbooks and custom modules with Ansible and Ansible Playbooks to automate in AWS services like Launching EC2, Provisioning IAM, Configuring VPC, EBS, Monitoring using Cloud Watch and Cloud Trail. Well versed in configuring an automated tool Puppet that included installation and configuration of Puppet and written manifests and modules for a puppet to do tasks like application deployment, configuration and create filesystems. Expert in Setting up Continuous Integration (CI) by configuring Build, Code, Deploy and test automation Jobs in Jenkins for different applications and in creation and deployment using Code ship to automate branch & project creation in Git using (Groovy language) in Jenkins file and automating (using Ansible). Professional in deploying and configuring Elasticsearch, Logstash, Kibana (ELK) and AWS Kinesis for log analytics and skilled in monitoring servers using Nagios, Splunk, AWS CloudWatch, Azure Monitor and ELK. Skilled with Python, Bash/Shell, PowerShell, Ruby, Perl, PowerShell, JSON, YAML, Groovy. Developed Shell and Python Scripts used to automate day to day administrative tasks and automation of the build and release process. TECHNICAL SKILLS: Version Control Tools Subversion (SVN), Clear case, GIT, GIT Hub Enterprise (GHE), Perforce, Code Commit CI Tools ANT, MAVEN, Hudson, Jenkins, BAMBOO, and Code Deploy. Configuration Management Chef, Puppet, Vagrant, Maven, Gradle, Groovy, Ansible, Docker, Kubernetes, Splunk, OPS Work. Infrastructure as a code Terraform with Azure and AWS, Cloud Formation Database Oracle, DB2, MySQL, MongoDB 7 SQL Server, MS SQL. Bug Tracking Tools JIRA, Remedy, HP Quality Center and IBM Clear Quest. Cloud Platform AWS, Azure, GCP and Open stack. AWS Services EC2, ELB, VPC, RDS, IAM, S3, Cloud watch, Cloud trial, SNS, SQS, SWF, EBS, Route 53. SDLC Agile, Scrum. Web Servers Apache, Tomcat, Web Sphere, JBOSS. Languages/Scripts C, HTML, Shell, Bash, Python, Chef, PHP, Ruby and Perl. Operating Systems Red hat, Ubuntu, Linux and WINDOWS, CentOS, SUSE. Web Technologies HTML, CSS, Springboot, Java, JavaScript, JQuery, Bootstrap, XML, JSON, XSD, XSL, XPATH. PROFESSIONAL EXPERIENCE: Client: Capital One April-21 to Present Location: Plano, TX Sr. SRE/Cloud Engineer Responsibilities: Led a high-performing team in executing SRE tasks for cross-enterprise organizations, ensuring high availability and support for complex application platforms and microservices. Collaborated with senior technology leaders, product owners, and business partners to communicate and implement strategic technology plans. Performed proactive daily system monitoring, incident response, and troubleshooting, ensuring rapid recovery from failures and minimizing service disruptions. Establish configuration, compliance, and audit program to effectively manage AWS accounts and resources Managed administration and maintenance of multiple AWS accounts within a state AWS infrastructure, ensuring efficient resource utilization and compliance. Established robust configuration, compliance, and audit programs, ensuring adherence to standards and regulatory requirements. Reviewed cloud resources, identifying cost drivers and opportunities for optimization across compute, storage, network, and managed services. Monitored rightsizing, elasticity, and storage optimization as part of Managed Services for clients, delivering cost-effective solutions. Conducted regular analysis to identify and eliminate unused resources, optimizing resource allocation. Oversaw patching vulnerabilities and backup/restore operations for cloud-based servers, ensuring system security and resilience. Successfully provisioned new servers, configured firewalls, and implemented effective monitoring systems. Managed account containerization and tagging for internal cost centers and end client billing feeds, enhancing financial transparency. Monitored cost allocations, ensured security compliance, and managed budgets by setting up alerts across accounts, workloads, and users. Utilized AWS Config to monitor and track resource configuration, identifying and addressing configuration drift. Leveraged AWS CloudTrail to conduct compliance audits, recording and storing event logs for actions within AWS accounts. Demonstrated strong understanding of IT Infrastructure, including switches, routers, wireless access points, and storage arrays. Utilized automation frameworks like Ansible to streamline operational tasks and improve efficiency. Worked effectively in an ITIL-driven environment, applying ITIL principles and processes to enhance service delivery. Developed automation and processes to streamline application deployment, configuration, scaling, and monitoring, resulting in increased efficiency and reliability. Identified opportunities for reliability and availability improvements, designed solutions, and implemented enhancements to optimize user experience. Partnered with Engineering, Scrum, and Ops teams to provide technical expertise and support for key initiatives, ensuring system availability and reliability. Successfully led the resolution of critical incidents, reducing downtime and enhancing overall service reliability. Contributed to the development of a comprehensive documentation repository, including standard operating procedures and knowledge transfer materials, facilitating knowledge sharing and onboarding. Worked on the Business requirements and developed the solution, Agile Methodology and continuous integration using the SDLC process. Extensively followed agile methodology and scrum process for Application development. Responsible for the planning, implementation, and growth of the AWS cloud infrastructure using Terraform. Responsible for creating the AWS services like EC2, ALB, ELB, EBS, S3, Cloud Front, Cloud Trail, Code Build, Dynamo DB, ECR, ECS, EFS, Elastic Cache, Elastic Search, EMR, Event Bridge, Firehose, Glue, IAM, KMS, Lambda, RDS, SNS, SQS and VPC. Involved in full life cycle of the project from requirements gathering, design, development and doing knowledge transfers. Responsible for automating cloud infrastructure maintenance, building new operational monitoring, alerting capabilities, implementing and maintaining, cloud developed engineering solutions. Worked cross-functionally with engineers, software developers, and end-users to design, implement, and maintain customers application systems and IT infrastructure for highly complex systems. Implemented CI/CD pipelines on Jenkins for applications to deploy the applications. Performed the automation deployments using AWS by creating the IAM roles and policies and used the code pipeline plugin to integrate Jenkins with AWS and created the EC2 instances to provide the virtual servers. Involved in working on the environments of AWS like EC2, Elastic Search, VPC, Subnets, Routing tables, Internet gateways, IAM, Route53, VPC peering, S3, ELB, RDS, Security Groups, Cloud Watch, SNS on AWS. Performed Branching, Merging, Tagging and Release Activities on Version Control Tool, GIT. Responsible for architecting, designing, implementing and supporting cloud- based infrastructure and its solutions. Implementation of DevOps and Continuous Delivery methodologies to existing Build & Deployment Strategies. Built and deployed Docker containers to break up the monolithic app into Microservices, improving developer workflow, increasing scalability, and optimizing speed POC for new tools/software s and presented ideas for system improvements, including cost proposals. Implementation of One Click Deployment from Dev to Prod Maintain source code repository in GitHub/subversion and handles branching, tagging and merging process Architected & Developed DevOps dashboard application for Monitoring entire CI/CD Process Manage builds and make necessary changes to Ant/Maven build scripts for Java/ WebSphere based applications Driving DevOps initiatives and adoption by recommending, implementing tool sets and best practices for automation, configuration and release management Infrastructure Maintenance & upgrade for entire DevOps tools. Experienced with applications running Docker/Red Hat/Kubernetes/Docker Data center in a hybrid cloud. Jenkins with slack for notifications on application status, New Relic for application health and monitoring. Hands on experience with CI/CD Monitoring tools, Splunk and ELK. Worked on integrating application logs with Splunk. Wrote several custom Splunk queries for monitoring and alerting. Integrated Splunk with Cloud Foundry for management of application syslog and different component metrics logs. Worked intensively on generating Splunk dashboards & reports, visualizing various performance metrics of applications in different environments. Collaborated with internal teams to integrate data feeds to a centralized Splunk platform. Worked on creating and implementing application monitoring, and logging strategies using New Relic. Used monitoring tools like New Relic and Elasticsearch, Logstash, Kibana (ELK) for application and server monitoring. Setup visibility of code coverage using SonarQube and Jacoco. Exposure to Build, Dependency and Configuration Management Tools like GitHub, Jenkins, Travis, Maven, Ansible, Chef, SALT, Vagrant for maintaining CI/CD environments. Experience and working understanding of a scripting languages like Bash, Python or Perl, with middle administration for IBM HTTP Server, Tomcat, Liberty. Familiar with Urban Code Deploy (UCD), plugins and Urban Code Release. Used build tools to aggregate projects using Apache, Ant, Maven, Groovy tools, and Gradle. Environment: AWS, Ansible, Puppet, Chef, Artifactory, Jenkins, CICD, GitHub, Shell script, Groovy Script, Python, Docker, Docker Swarm, New Relic, Kubernetes, Nagios, ELK, LINUX. Client: GE Digital Oct-17 to April-21 Location: San Ramon, CA Sr. DevOps/Infrastructure Engineer Responsibilities: As DevOps/Infrastructure Engineer extensively involved in Architecture, Implementing, release management, Environment Management, deployments, Continuous integration, Continuous deployment, Incident management, Version management. Working as an Infrastructure engineer in a team building a scalable CI/CD platform serving 300,000+ GE Employees. Went to Russia for an On-Site Project through GE to setup CI/CD solution in a non- internet facing network, involved in setting up Network Infrastructure. Researched and found ways to better scale the platform using different AWS instance types and AMI settings Designed and implemented a continuous build-test-deployment (CI/CD) system with multiple component pipelines using Jenkins to support releases based on business needs. Refactored monolithic applications to Microservices and Component based architecture Implementing a Continuous Delivery framework using Jenkins, Maven, Nexus & Artifactory in Linux environment. Responsible for setting up Monitoring for all the applications, environments using New Relic, Zabbix, Prometheus Provisioned the cloud infrastructure on AWS/AZURE using Terraform and Ansible for providing infrastructure in different environments. Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes. Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets. Designed VNets and subscriptions to confirm to Azure Network Limits Designed and implemented the windows slaves in CI/CD solution using EC2 servers. Worked on outside projects in architecting, implementing the continuous integration and deployment to air gap environments. Design and developed hybrid cloud-based solutions for Continuous integrations, delivery & deployment in the air gapped environments. Responsible for 24x7 production support of mission critical applications. Worked on DC/OS, Mesos and Marathon in building the infrastructure and maintaining it. Converted white source application to Docker container to run on the Mesos slaves. Worked on code scanning tools (White source, Tinfoil) to make it production and use by all teams. Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure Created a private cloud using Kubernetes that supports DEV, TEST, and PROD environments. Created dynamic routing/load balancing capability enabling large application scaling, used ingress rules and Ingress Controllers- Traefik and Nginx. Created a Continuous Delivery process to include support building of Docker Images and publish into a private repository- Docker Registries. Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages. Use DevOps tools to automatically setup and teardown multiple environments. Developed Terraform and Ansible scripts to fully automate AWS/AZURE Infrastructure deployments and built Jenkins pipelines to deployed Application Microservices using blue/green methodology Built Docker Swarm solution to support Windows Jenkins build agents, customized the Jenkins Docker swarm plugin to support Hyper-V isolation and Docker in Docker features Built a Rancher Kubernetes environment and transitioned the Application and Jenkins workloads from Mesos to Kubernetes. Environment: Artifactory, Nexus, AWS, Azure, Docker, DTR, Rancher, Kubernetes, DCOS, Mesos, Marathon, Maven, Jenkins, Linux, Windows, GitHub, Bash, Python, Ansible, Terraform, Golang, Zabbix, Nagios, Packer, Prometheus, Grafana, Splunk, New Relic, White Source, Coverity, Wazuh. Client: GE Digital April-16 to Oct-17 Location: San Ramon, CA AWS DevOps Engineer Responsibilities: Strong Experience on AWS platform and its dimensions of scalability including VPC, EC2, ELB, S3, and EBS, ROUTE 53. Experienced in cloud automation using AWS cloud Formation Templates, Chef, Puppet. Involved in designing and deploying multitude applications utilizing AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS CloudFormation. Planning, deploying, monitoring, and maintaining AWS cloud infrastructure consisting of multiple EC2 nodes and VMware Vm's as required in the environment. Used Route53 to route traffic between different regions. Expertise in architecting and deploying of fault tolerant, cost effective, highly available and secure servers in AWS. Utilized Elastic Load Balancers with EC2 auto scaling groups. Used Identify and Access Management (IAM) to assign roles and to create and manage AWS users and groups and use permissions to AWS resources. Managed Elastic Cloud Computing (EC2) instances utilizing auto scaling, Elastic Load Balancing, and Glacier for our QA and UAT environments as well as infrastructure servers for GIT and CHEF. Created Snapshots and Amazon Machine Images (AMI's) of EC2 Instance for snapshots and creating clone s instances. Created test branches from master branch of each repository on GIT to perform testing of Gradle upgrade to LSR and then assisted DEV teams to do the same successfully. Experienced in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling, Traffic Manager. Experienced in Azure PaaS Solutions like Azure Web Apps, Web Roles, Worker Roles, SQL Azure and AZURE Storage. Worked on creating, validating, and reviewing solutions for datacenter migration to Azure cloud environment. Participated in administration of Azure Active Directory, provided overall administration & migration of Azure cloud. Assisted in implementing migration of on premise workloads to private and public cloud PaaS and IaaS environments. Extreme experience in architecting and deploying of fault tolerant, highly available, cost effective and secure servers in AWS and MS Azure. Pipelined Application Logs from App Servers to Elasticsearch (ELK Stack) through Logstash. Worked on POC and implementation of ELK stack. Built and maintained Elasticsearch Logstash, Kibana (ELK) stack to centrally collect logs that are used to monitor applications. Used Nagios as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked on Nagios Event handlers in case of automatic restart of failed applications and services. Created Docker images using a Docker file, worked on Docker container snapshots, removing images & managing Docker volumes. Utilized Configuration Management tool CHEF & amp; created Chef Cookbooks using recipes to automate system operations. Extensively worked on Jenkins for continuous integration and for End-to-End automation for all build & deployments. Implemented Continuous Integration using Jenkins and GIT. Used Gradle & Jenkins to trigger build process. Managing and administering multiple instances of GIT, including the build server infrastructure and operating environment for Android; develop server-side scripts/SW to customize GIT and to tie in with other tools such as Jira, Jenkins/Hudson, Bamboo. Experienced in Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like GIT and Subversion (SVN) on Linux platforms. Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Subversion (SVN) and GIT source control. Extensively experienced in Bash, Perl, Python, Ruby scripting on Linux. Working knowledge/exposure in TOMCAT & APACHE. Installed, monitored and configured Applications in Nginx and Apache Tomcat Server and establish connectivity to databases and troubleshoot issues on the fly. Experienced in working with Ticketing & Tracking Tools like JIRA, Remedy, HPSM and IBM Rational Clear Quest, TFS. Experience with NOSQL databases Cassandra and MongoDB Developing Ant and Maven scripts to automate the compilation, deployment and testing of Web and J2EE applications. Experience in deploying system stacks for different environments like Dev, UAT, Prod in both on premise and cloud infrastructure. Environment: Clear Case, Maven, ANT, Gradle, Jenkins, GIT, Chef, Web Sphere, Jira, JBoss Application Servers, Apache Tomcat, ELK, Agile/Scrum, SDLC, Windows, Docker, Nginx, Nagios, AWS EC-2, Route 53, S3, VPC, EMR, SQS, Autoscaling, ELB, Shell Scripts, Unix/ Linux environment. Client: Eagle Creek August-15 to April-16 Location: Vermont, IL Role: AWS DevOps Engineer Responsibilities: Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates. Setup and build AWS infrastructure in various resources, VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling, RDS in Cloud formation JSON templates. Configured AWS IAM and Security Group in Public and Private Subnets in VPC. Configured high availability and fault tolerance of the applications using Elastic Load Balancers (classic & application load balancers), launch configuration using AMIs and boot strapping scripts, health checks and alarms to trigger auto scaling to maintain number of instances and adjust capacity to scale up/down based on triggered alarms and tested application vulnerabilities to maintain high availability. Used Cloud Watch to create alarms, monitor and notifications in EC2 hosts. Used Simple storage services (S3) for snapshot and Configured S3 lifecycle of Applications logs, including deleting old logs, archiving logs based on retention policy of Apps. Created AWS Route53 to route traffic b/w different regions. Experience in AmazonEC2 in setting up instances, worked closely with infrastructure teams to troubleshoot complex issues and setting up security groups. Created S3 buckets, managed policies for S3 buckets & Utilized S3 bucket and Glacier for storage and backup on AWS. Used security groups, network ACLs, Internet Gateways, NAT instances and Route tables to ensure a secure zone for organizations in AWS public cloud. Utilize AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups. 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. Virtualized servers using Docker for test environments and dev-environments needs and, configuration automation using Docker containers. Deployed Docker clusters to Kubernetes. Hands on experience in Docker hub, K8S. Installed, configured and managed the ELK (Elastic Search, Log stash and Kibana) for Log management within EC2 / Elastic Load balancer for Elastic Search. Built Elastic search (ELK Stack) cluster in multiple data centers for High Availability. Configured and installed monitoring tools Kibana, Logstash and Elastic Search on the servers. Designed, developed and implemented multi-tiered Splunk log collection solutions. Experience on Splunk search construction with ability to create well-structured search queries that minimize performance impact. Configured and administered Monitoring tools like Nagios, Logstash, Elasticsearch etc. Evaluated Chef and Puppet framework and tools to automate the cloud deployment and operations. Used ANT and MAVEN as a build tools on java projects for the development of build artifacts on the source code. Worked on Standardizing Build & Deployment method. Involved in creating new environments for testing purposes. Installed/Configured/Managed Puppet Master/Agent. Wrote custom Modules and Manifests, downloaded pre-written modules from puppet-forge. Upgradation or Migration of Puppet community and Puppet Enterprise. Experienced enough in using Nexus and Artifactory Repository Managers for Maven Builds. Implemented Continuous Integration using Jenkins and GIT. Implemented a GIT mirror for SVN repository, which enables users to use both GIT and SVN. Expanded Experience in Network Management like DNS, NIS, NFS, LDAP, TFTP and system troubleshooting skills. Managed environments DEV, TEST, STAGE and PROD for various releases and designed instance strategies Experienced working AGILE Operations process and tools area. Environment: EC2, S3, auto scaling, AMI, ELB, EBS, IAM, RDS, DNS, cloud watch, route53, VPC, cloud front, Elastic Beanstalk, BASH, APACHE/TOMCAT, Java, Python, Ruby, Redshift, chef, Puppet. Valsoft Technologies June-12 to Nov-13 Location: Hyderabad, India Role: Linux Administrator Responsibilities: Key tasks of my job include configuration and automation of the build process for continues integration and nightly builds. Manage IIS web fronts end servers. Automatic builds and deployments of .NET web servers. Managed SCM processes like compiling, packaging, deploying, automating processes and application configurations. Efficient in tracing complex build problems, release issues and environment issues in a multi component environment. Involved in editing the existing ANT/MAVEN files in case of errors or changes in the project requirements. Created auto scheduled builds through TFS and Windows task scheduler. Implemented Release schedules, communicated the release status, created rollout plans, tracked the project. Maintained build and deployment procedures and resolved configuration management issues, created Branches for each release for specific environment, making baselines and Merging of branches. Defining Branching strategies and CM build cycle in a complete SDLC for different projects. Carried Deployments and builds on various environments using continuous integration tool Jenkins. Documented project's software release management procedures with input decisions. Defined and setup the plans in build process for JUnit Test (Mock) and Integration Test (API). Coordinates & participates in regular pre-& post-release review meetings to assist with evaluation of release quality. Developed UNIX Scripts for manual deployment of code to various environments and E-mail the team when the build is completed. Stood up new Jenkins build slaves and configured them in different data centers and documented what software's needs to be installed with the entire configuration details. Extensive experience in working with various teams such as QA, Engineers and other teams to ensure automated test efforts are strongly integrated with the build system. Member of the Technical Design team Build and Release Module for Development of new products. Involved in research of project application architecture to support/resolve build, compile and test issues/problems. Expert in deploying the code through web application servers like WebSphere/WebLogic/ Apache Tomcat/JBOSS. Supported multiple teams for multiple applications including .Net and Java/J2EE. Designed and maintained the Subversion/CVS repositories and the access control strategies. Created a virtual network on Windows Azure to connect several servers. Performed all necessary day-to-day Subversion support for different projects. Implemented GitLab for version control of puppet modules and process documentation Documented project s software release management procedures with input decisions. Merged release branches to the trunk after the production release and resolved the conflicts rose during the merge in both Subversion and Perforce. Wrote custom puppet modules for managing the full application stack (Tomcat/httpd/MySQL/Java). Involved in migration activities of Java scripts and Database scripts from Oracle, MS SQL Server and MYSQL into different environments like Development, QA, UAT and Production on Red Hat Enterprise Linux (RHEL) Infrastructure Built a comprehensive PERL script that would call the required Make files and notify the build distribution team in case of Build errors or Completion of the builds. Configured and maintained Hudson to implement the CI process and integrated the tool with Ant and Maven to schedule the builds. Took the sole responsibility to maintain the CI Hudson server. Experience in working with the release and deployment in JAVA, Android, IOS, C, C++, and ASP.net web applications environment. Environment: Subversion, Perforce, Ant, Jenkins, Hudson, Web Sphere Application Server (WAS), Web services, Web Logic, Test Director, Mercury, Quality center, Oracle 10g, Visual Build, .Net, ANT, J2EE, Web sphere. EDUCATION: Master of Science Electrical Engineering 2014 Bachelor of Technology Electronics and Communications Engineering 2013 CERTIFICATION: Awarded AWS Certified Solution Architect Associate Awarded Docker Certificate. Keywords: cprogramm cplusplus continuous integration continuous deployment quality analyst javascript sthree database active directory information technology hewlett packard microsoft California Illinois Texas