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Sr. Aws Devops Engineer Resume

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New York, NY

PROFESSIONAL SUMMARY:

  • Experienced IT professional with 8+ years seeking a position within the Software Configuration Management, Version Control, Build and Release management, Change management and Cloud infrastructure like Amazon Web Services, Microsoft Azure, Google Cloud Platform.
  • Hands - on experience with Amazon Web Services resources such as EC2, S3, EMR, VPC, EBS, Dynamo DB, Code build, code deployment, code commit, Elastic Beanstalk, AMI, SNS, RDS, Cloud Watch, Route53, SQS, IOT, Cloud Front (CDN), Auto scaling, Security Groups, and Cloud Formation.
  • Experience with Linux System Administration, Build Engineering & Release Management, including end-to-end code configuration, building binaries & deployments, and entire life cycle model.
  • 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, WebLogic and JBoss.
  • Used Terraform and performed "IAAS" and modified Terraform scripts according to configuration changes.
  • Developed Python and Terraform modules for creating resources to be used within OpenStack Cloud.
  • Provisioning and infrastructure automation in IaaS and PaaS environment in AWS, Azure, Pivotal Cloud Foundry.
  • Implemented development, testing, and pre-production AWS instances and EMR clusters.
  • Working experience in AWS VPC (Virtual Private Cloud) management of over 2,000 Linux and Ubuntu instances.
  • Build servers using AWS including importing volumes, launching EC2, creating security groups, auto-scaling, load balancers in the defined virtual private connection.
  • Experience compiling, packaging, deploying, and configuring applications using SCM processes.
  • Worked with AWS and Google Cloud Platform to design, architect and implement scalable web applications.
  • Used Google Cloud Platform (GCP) to build, test and deploy applications on Google's very adaptable and solid framework for web, portable, and backend arrangements.
  • Experience in GCP Services such as GKE, Google App Engine, Compute Engine, VPC Network, Interconnect,Cloud Routers, Cloud DNS, Cloud CDN.
  • Expertise in Azure Development, worked on Azure web application, App Services, Azure storage, Azure SQL Database, Virtual Machines, Fabric Controller, Azure AD, Azure Search, and Notification Hub.
  • Experience in dealing with Windows Azure IaaS -Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling.
  • Experience in managing the security groups on AWS, focusing on high-availability, fault tolerance, and auto-scaling using Terraform templates, along with Continuous Integration and Continuous Deployment with AWS Lambda and AWS Code Pipeline.
  • Coordinated with networking teams in configuring AWS Direct Connect to establish dedicated connection to datacenters.
  • Experience in Blue/Green deployment strategy by creating new applications which are identical to the existing production environment using Cloud Formation templates and setting Route53 records to redirect traffic from the old environment to the new environment with DNS.
  • Configured Docker Hub to create automatic builds, as well as installed and configured Kubernetes.
  • Created microservices to communicate with customer components running on AWS VPC and AWS EKS Kubernetes cluster by using Spring Boot, Docker CE, and REST APIs.
  • Developed Open-Source products like MySQL, Apache HTTP, Apache KAFAKA, HAProxy, OpenLDAP, Nagios, Graylog2, Logstash, PostgreSQL, MongoDB, and SQL Server.
  • Involved in setting up JIRA as bug tracking system and customized workflows or plugins for the JIRA bug/issue tracker.
  • Hands on experience on website code and website patch Deployment and tools like UDeploy(IBM), URelease, GIT, Jenkins, Artifactory.
  • Experience implementing and managing continuous code build and deployment with Chef Cookbooks that automate the entire deployment process as well as infrastructure admin tasks.
  • Proficient in writing Puppet modules and chef cookbooks.
  • Strong knowledge of Ansible Roles, Ansible Tower, and Ansible Galaxy concepts.
  • Experience with monitoring tools like Nagios, Splunk, CloudWatch, ELK Stack, Dynatrace, New Relic, Prometheus, and App Dynamics.
  • Extensively worked with the scripting languages like YAML, Shell Scripting and Python.
  • Experienced in monitoring tools like Nagios, Sensu, New Relic, and ELK Languages/Scripts (Elastic Search, Log stash, Kibana) and Splunk.
  • Worked on setting up Splunk to capture and analyze data from various layers Load Balancers, Webservers.
  • Extensive experience using GRADLE, MAVEN and ANT as a Build Tool for the building of deployable artifacts (jar, war & ear) from source code.
  • Experience with automation tools such as Puppet, Chef, Salt and Ansible, as well as Continuous Integration tools such as Jenkins and Bamboo.
  • Working knowledge of version control systems such as Subversion, Git, GitLab, Mercurial and interacting with source code management tools like Git Bash, GitHub, Git GUI and other command line applications etc.
  • Developed pom.xml files, built releases using the Maven release plug-in, and managed Maven repositoriesPython skills
  • Built an API-driven publishing service handling 17M pageviews monthly, performing at 94% cache efficiency.
  • Cleared more than 200 performance bottlenecks in Mercurial software for large-scale deployments.
  • Built out the source control query service that queries information in a scalable, effective, & efficient manner.
  • Extended the build system to integrate with the Mercurial sparse feature, cutting 47% performance issues.
  • Rebuilt the Mercurial sparse subsystem to move it from an implementation detail to an end-user-friendly tool.
  • Mentored 10 Junior Python developers, them to work independently and acquire all adequate skills.
  • Involved in the design and development of the application using Python 3. 3, HTML5, CSS3, Ajax, JSON, and
  • JQuery that delivered and enabled subsequent company success and 24% sales growth.NODE JS
  • JavaScript proficiency.
  • Familiarity with front-end development.
  • Ability to work in a team.
  • Understanding of security compliances.
  • Understanding of different platforms.
  • Proficiency in databases.
  • Analytical mind and the ability to multitask.
  • Experience writing T-SQL.
  • Experience building REST based APIs, preferably with Node.js.
  • Experience with deploying Node.js based solutions into production.
  • Experience with functional and unit testing based frameworks (Jasmine, Mocha, Cucumber, etc).

TECHNICAL SKILLS:

Version Tools: Git, GitHub, Gitlab, SVN, CVN

Build Tools: Jira, ANT, MAVEN, Gradle, Sonar, Nexus

Web/Application Servers: Apache, Apache Tomcat, nginx, Web logic

Infrastructure code: Terraform, CloudFormation templates

Application Servers: Apache Tomcat, WebLogic, JBoss, WebSphere.

SCM/Version Control Tools: GIT, Bit bucket

Private/Public Cloud: VMWare vSphere, AWS Services: EC2

ProgrammingLanguages: Python, C, Java

Virtualization Platforms: Vagrant, Virtual Box, vSphere, PKS

Automation&Configuration Tools: Chef, Puppet, Ansible, Jenkins.

Web Technology Servlet: JDBC, JSP, XML, HTML, Java Script, Typescript.

Firewalls: Checkpoint, ISA 2004/2006, Palo Alto 3000/5000

Bug/Issue Tracking: JIRA, Rally, Fisheye, Remedy, ServiceNow

Web/Application Servers: Apache, Apache Tomcat, nginx, Web logic

Infrastructure code: Terraform, CloudFormation templates

PROFESSIONAL EXPERIENCE:

Confidential - New York, NY

Sr. AWS DevOps Engineer

Responsibilities:

  • Worked across multiple AWS instances, set security groups, Elastic Load Balancers, AMIs, and auto-scaling to develop cost-effective, high-availability systems.
  • Deployed multitier applications using AWS stack (EC2, Route53, S3, RDS, DynamoDB, SNS, SQS, IAM) with an emphasis on fault tolerance and autoscaling.
  • Implemented AWS Security Groups that acted as virtual firewalls that controlled the traffic allowed to flow between one or more AWS EC2 instances.
  • Extensive creation of Terraform automation from CFT migration on new AWS Infrastructure.
  • Experience with Snowflake cloud data warehouse and AWS S3 bucket for integrating data from multiple source system which include loading nested JSON formatted data into snowflake table.
  • Using AWS CloudFormation, EC2, S3, Chef/OpsWorks, CloudWatch, CloudTrail, EBS, Route 53, IAM, etc. to migrate a production infrastructure to an AWS VPC.
  • Used Bash and Python included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks.
  • Worked on creating the modules driven AWS infrastructure with Terraform. Created Infrastructure Git repositories for Terraform to launch the stacks.
  • Automated infrastructure with Terraform and AWS CloudFormation and AWS CloudFormation was used to update stacks.
  • Using Amazon Elastic Container Service for Kubernetes (EKS), we deployed a containerized application using Docker to a Kubernetes cluster.
  • Wrote Ansible Playbooks to Manage Configurations of AWS Nodes and test Playbooks on AWS instances using Python. Run Ansible Scripts to provision Dev servers.
  • Implemented Ansible playbooks to automate various infrastructure activities such as Continuous Deployment and application server setup.
  • Developed a CI/CD system for building and testing and deploying using Jenkins on Google Kubernetes containers, using Kubernetes and Docker as the runtime environment for the CI/CD system.
  • Developed Docker images and managed multiple Docker images in Docker hub and created custom Docker containers images and pushed the images to Docker hub.
  • Using Kubernetes and Docker for the CI/CD systems, prototype a CI/CD system utilizing Gitlab and Gitlab Pro.
  • Using Kubernetes for creating new Projects, Services for load balancing and adding them to Routes by accessing them from outside, creating Pods through new applications and controlling, scaling, and troubleshooting pods through SSH.
  • Configure SSH, NFS, Veritas Volume Manager, MySQL, MYSQL, Cygwin, Putty, NTP, Multipath IBM DB2 for database, Xen and KVM for automated provisioning, and VMware VCloud Director for stateless VM's supporting e-commerce.
  • Implementing Hadoop clusters for processing Big Data pipelines via Amazon EMR and Cloudera while relying on Apache Spark for fast processing and API integration. Apache Mesos provided centralized management of all resources.
  • Monitoring and logging are performed using tools like Elasticsearch, Fluentd, Kibana, Prometheus, Grafana, and Alert manager.
  • Developed and maintained the Docker ecosystem which includes containers, docker compose, docker swarm, and the Prometheus monitoring tool.
  • Experience with Jenkins, Anthill Pro, and UDeploy in a J2EE, SOA, and Microservices Architecture Environment (NodeJS, .Net Core, Zookeeper, Kafka, Redis). Used Jenkins used in conjunction with SonarQube to analyze and improve the quality of the source code.
  • Implemented Continuous Integration and deployment into Tomcat /WebLogic Application Server using Jenkins.
  • Manage automation playbooks and documentation related to OpenShift.
  • Responsible for maintaining GIT repositories and helping developers establish and apply labeling, naming, and branching conventions with GIT source control.
  • Created Maven POMs to automate the build process for the new projects and integrated them with third party tools like SonarQube, Nexus.
  • CreatedAnsibleplaybooks, which are the entry point forAnsibleprovisioning, where the automation defined through tasks usingYAMLformat and runAnsibleScripts to depending on provision to servers.
  • Installing and Configuring AptD & Grafana and Logstash and File Beat for monitoring and transferring logs to Elastic search
  • Responsible for monitoring System/Application Logs of servers using Splunk to detect production problems.
  • Configured Splunk add-on including the DB Connect, Active Directory LDAP for work with directory and SQL database.
  • Validated data and checked integrity of Oracle Database by using SQL statements extensively.
  • MigratedJIRAacross environments and worked onJIRAdatabase dumps.
  • Wrote batch scripts for compiling csproj files and creating Solution files and WSP files for deployingASP.NETand Share point application.
  • Worked with limited time to troubleshoot Windows instance on EC2 instances, stopping, connecting, and recovering from issues.
  • Solid understanding of Linux Shell and Perl Scripting, UNIX, Windows, build and Release Engineering modules.

Environment: AWS, EC2, Azure, Route53, S3, RDS, DynamoDB, SNS, SQS, IAM, Ansible, Terraform, Tomcat/WebLogic, Maven, JIRA, YAML, Splunk, OpenShift, Grafana, AptD, Logstash, LDAP, GitLab, Kubernetes, Docker, Chef.

Confidential, Salt Lake City, Utah

Sr. Cloud DevOps Engineer

Responsibilities:

  • Deployed and configured Elastic search, Log stash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and CloudWatch.
  • Configured anAWSVirtual Private Cloud (VPC), NACL, and Database Subnet Group for isolation of resources within the Amazon RDS and Aurora DB clusters.
  • Deployed Java, Node.js, Python, and Ruby web applications and services using AWS Bean Stalk on familiar servers such as Apache, and IIS.
  • Worked on Azure cloud services, Azure storage, Azure active directory, Azure service Bus, IaaS, worker role, service bus, queue, Azure blob and table storages and API Management. Create and manage Azure AD tenants and configure application integration with Azure AD. Integrate on-premises Windows AD tenants and Configure application integration with Azure AD.
  • Experience in Azure Big data with HDInsight’s, Databricks with Spark.
  • Created Power Shell scripts for implementing backup methodologies for Azure Services, including Azure SQL Database, Key Vault, Storage Blobs, and App Services.
  • Automated remediation of Azure services with PowerShell scripts and JSON templates.
  • Setup up and maintenance of automated environment using Chef recipes& cookbooks within Azure environment.
  • Experience in SSIS project-based deployments in Azure cloud Designed SSIS Packages to transfer data from flat files, Excel SQL Server using Business Intelligence Development Studio.
  • Worked with an agile development team to deliver an end-to-end continuous integration/continuous delivery product in an open-source environment using Puppet and Jenkins to get the job done.
  • MaintainedOpenStack Performance tuning of VMware servers and managed server resources between Virtual Machines and plugged into Oracle businesses for plugging into the cloud.
  • Installedworkstation, booted nodes, wrote recipes and cookbooks and uploaded them to Chef Server. Managed On-site OS Applications, Services, and Packages using Chef for EC2, S3 & ELB.
  • Configured RDS instances using Cloud Formation and Terraform and used Terraform to map more complex dependencies and identified network issue.
  • Installed and configured Java, Tomcat by using ansible-playbook configuration management.
  • Responsible for configuring the apps to OpenShift v3 and containerization of apps using Docker.
  • Update Jenkins pipelines and OpenShift templates to make use of the new environment.
  • Implemented Kubernetes and Docker tools to help with auto-scaling, continuous integration, and rolling updates without downtime.
  • CreatedDockerimages and linking ofDockercontainers for secured way of data transfer and handling images primarily for middleware installations and domain configurations.
  • Managed back-end infrastructure IQ/OQ remediation effort for 27 North American sites.
  • ConfiguredJenkins used as a Continuous Integration tool for Installing and configuringJenkinsMaster and hooking up with different build slaves.
  • Automatized Java application builds using withAntandMaven.
  • Worked on Managing the Private Cloud Environment using Chef and implemented Chef to deploy thebuildsfor Dev, QA, and production.
  • Configure Jenkins with complete Maven build jobs to provide a continuous, scheduled QA build environment based in multiple git repositories for deployment. Performed migration setup from SVN to GIT using Bitbucket.
  • Implemented a Continuous delivery framework using Bamboo, Ansible, Maven and Oracle in Linux Environment.
  • Implemented LAMP stack build/deployment portal into containers and streamlined its operation and maintenance using Influx DB and Grafana.
  • Proposed branching strategies for using Version Control Systems like GIT, Clear Case, Stash, GitHub & Subversion.
  • Implemented Monitoring and logging usingNew Relic, Data Dog, ELK Stack, Splunk.
  • Automate AWS infrastructure using Python scripts and AWS SDK boto/boto3, AWSCLI.
  • Experience configuring Java/J2EE application servers (Tomcat/WebSphere) and scripting UNIX shell, Ruby, Python, and JavaScript.
  • Perform basic database administration using Amazon RDS MySQL, DynamoDB for NoSQL data for other teams on lightweight Docker containers with elastic search and quick indexing.
  • Created scripts in Python which integrated with Amazon API to control instance operations.

Environment: AWS, Azure, OpenShift, Java/J2ee, ANT, Maven, Kubernetes, Docker, GIT, Ansible, Subversion, Jenkins, Puppet, Jira, Apache, WebLogic, JBoss, J2EE, Oracle, PowerShell, Bash, Python, Perl, Grafana, New Relic, Data Dog, ELK Stack, Splunk.

Confidential

Build and Release Engineer

Responsibilities:

  • Integrated Jenkins with various DevOps tools such as Nexus, SonarQube, Puppet, CA Nolio, HP CDA, HP ALM and HP QTP etc.
  • Implementing aContinuous Deliveryframework usingPuppetin multiple environments
  • ConfiguredELKstack in conjunction withAWSand used Logstash to output data to S3 and Jenkins to automate Elasticsearch maintenance to reduce disk space usage by 66%.
  • Primary duties include Build and Deployment of the java applications onto different environments Dev, QA and UAT. Used defect-tracking tool Service now.
  • UsedJenkinsforContinuous Integrationand deployment intoTomcat Application Server.
  • As an engineer for build and release, I deployed services by using the VSTS (Azure DevOps) pipeline
  • Setting up automated builds using Jenkins and Docker to have new code ready for testing.
  • Worked with Jenkins for any automation builds which are integrated with GIT as part of infrastructure automation under continuous integration (CI).
  • Build and deploy applications with Jenkins and Bamboo in an automated manner for Continuous Integration and End-to-End automation.
  • Generated Ant, Maven, UNIX scripts for build activities in QA, Staging and Production environments. Setup ANT script-based jobs in Jenkins and Worked with Jenkins Pipelines.
  • Responsible for the design and maintenance of the GIT Repositories, views, and access control strategies.
  • Worked on most recently Multistage YAML Pipelines for Build, and Release. Experience in Azure Key Vaults to keep the pipeline secrets and passwords and integrated them with CyberArk.
  • Implemented Azure SQL, Key Vault, Storage Blobs, App Services, etc., backup methodologies through PowerShell scripts.
  • Configured S3 versioning and lifecycle policies to archive files and backup files in glacier. Managed systems using Graphite and Nagios.
  • Managed ANT, Python, and Shell scripts related to build. Updated Ant build.xml files, which builds Ant.
  • Installed and configured build manager and agents to queue builds in TFS.
  • Automated the deployment of Asp.Net (MVC) and Java applications to application servers within an agile continuous integration environment.
  • Experience deploying BOSH Director with Java and .net Core. Develop a manifest to deploy Cloud Foundry.
  • Migrated SQL Server 2008 database to Windows Azure SQL Database and updating the Connection Strings based on this.
  • Result driven consultant with good experience in UNIX/Linux System Administration.

Environment: BOSH, UNIX/Linux, Asp.Net (MVC), GIT, Nagios, Jenkins, GIT Repositories, ANT, Python, ELK Stash, Puppet, Nexus, SonarQube, Puppet, CA Nolio, HP CDA, HP ALM and HP QTP.

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