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Lead Gcp Cloud Engineer Resume

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Brooklyn, NY

SUMMARY

  • IT Professional with 10 years of experience in DevOps/Cloud and Secure Methodologies and focused on Automation of Build/Deployment/Environment Management areas by implementing CI / CD pipelines to help teams deliver a better, reliable and Production environments.
  • With expertise in several areas of Software Configuration Management including development cycles, compilers, Test Automation, server configuration, scripting, continuous integration, builds, product packaging, installers, and managing Release candidates under a variety of Technologies.
  • Highly experienced in utilizing different cloud (AWS, Azure, GCP, and PCF) services to fulfill DevOps strategies like Build and release, infra - automation, configuration management and Observability of Microservices based applications.
  • Excellent working knowledge with GCP, PCF and Rackspace cloud services - Cloud Sites, Servers and Cloud Files.
  • Extensive experience on Terraform to map more complex dependencies and identify network issue and implement Terraform key features such as Infrastructure as code. Execution plans, Resource Graphs, Change Automation.
  • Used OpenShift architecture for OpenShift build automation, OpenShift CLI and CLI operations, OpenShift cluster and cluster maintenance.
  • Lead initiatives to define, design, and implement DevOps solutions: Roadmap, reference architectures, tools recommendations, practices, and processes, carrying out POC and tools consultation for target CI-CD framework.
  • Worked on several Docker components like Docker Engine, creating Docker images, Compose. Docker Registry and handling multiple images primarily for middleware installations and domain configuration
  • Used Kubernetes as open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container centric infrastructure.
  • Experience in managing Ansible Playbooks with Ansible roles, group variables and inventory files and in production environments.
  • Experience in Shell scripting using sh, Powershell, Groovy, Yaml, Typescript, bash and PERL.
  • Experience with all phases of Software Development Life Cycle (SDLC), including Analysis. Design Development and Testing of Client-Server and Web based n-tier Architecture for web applications with exposure to diverse business domains.
  • Good command on working with Tracking Tools Bugzilla, JIRA and ServiceNow.
  • Expertise in JIRA Software, JIRA Service Desk, JIRA Core, Confluence, Stride, BitBucket and Crowd.

TECHNICAL SKILLS

Cloud: AWS, Azure, GCP and PCF

Automation tools: Chef, Ansible, Puppet, Terraform, cloud formation

SCM: GIT, Subversion SVN, TFS, Stash/Bit Bucket

Build Tools: Maven, Ant, Gradle, NPM, MS Build

Monitoring Tools: Splunk, Nagios, Grafana, Prometheous, ELK, Datadog, App Dynamics, Cloud watch, App Insights

Bug Tracking & Testing Tools: JIRA, Bugzilla,Cucumber, Junit,HP QualityCenter, IBM Clear Quest

Virtualization & Containerization: Docker, Docker Swarm, VMware ESXi, Vagrant, Kubernetes

Operating Systems: Unix, Windows, Redhat Linux (6.x, 5.x)

Programming Languages: Python, SQL, Java/J2EE, Ruby, .Net

Continuous Integration: Jenkins, Bamboo, GitLab, Azure Pipeline, AWS Pipeline, TeamCity

Web Technologies: HTML, XML, JSP

Scripting Languages: Bash, Perl, PowerShell, Shell, Groovy, Yaml

Databases: MySQL, MongoDB, Oracle, NoSQL, SQL

Web/App servers: WebLogic, WebSphere, Nginx, JBOSS, Apache, Tomcat, Glassfish

PROFESSIONAL EXPERIENCE

Confidential, Brooklyn, NY

Lead GCP Cloud Engineer

Responsibilities:

  • Designing and deploying a variety of applications using AWS CloudFormation, with a focus on high availability, fault tolerance, and auto-scaling, including EC2, Route53, S3, RDS, SNS, SQS, and IAM.
  • Configure Amazon EC2 instances, security groups, and databases in AWS using S3 buckets that are configured to keep machine backups in S3 buckets, and Glacier.
  • Created IAM (Identity and Access Management) accounts for a variety of users, including developers, system
  • Worked on Airflow 1.8(Python2) and Airflow 1.9(Python3) for orchestration and familiar with building custom Airflow operators and orchestration of workflows with dependencies involving multi-clouds.
  • Experience on Ansible which is used to manage web applications, environments, users, file systems, and packages. Created Ansible scripts to restart all production server services.
  • Set up a GCP Firewall rules in order to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
  • Created a CI/CD pipeline in Jenkins and executed the build using ansible build and deploy scripts to integrate with the GitHub repository.
  • Experienced in creating, managing, and deploying infrastructure using IAC tools for public cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
  • Designed for a hybrid architecture based on Micro Services, AWS Elastic MapReduce (EMR), Spark Streaming and Event Driven architecture.
  • Skilled in building and deploying Docker Swarm and Kubernetes Container orchestration systems.
  • Skilled in creating Kubernetes clusters with AWS-Kops (EKS) and configuring and deploying the process.
  • Familiar with the cloud-native approach and concepts such as Infrastructure as Code, Microservices, Containers, and Serverless computing.
  • Experienced in
  • Servers to Elastic Search (ELK Stack), and Built App Metrics Dashboards Using Kibana (ELK Stack).
  • Experience in migrating the Legacy application into GCP platform and managing the GCP services such as Compute Engine, cloud storage, Big Query, VPC, Stack Driver, Load Balancing and IAM.
  • Built Python programs to access and manage instance activities through the Amazon API.
  • Maintained environments for continuous build and integration in SCRUM and Agile projects.

Environment: AWS, Azure, CI/CD pipeline, Jenkins, Github, Kubernetes, Agile, Docker, EC2, WebSphere, Nginx, MySQL, Ansible, Tomcat, Maven, JFrog, Openstack, Chef, Puppet, Splunk, SCRUM.

Confidential, Miami, Fl

Sr. AWS/DevOps Engineer

Responsibilities:

  • Wrote Cloud Formation templates for the provision of Infrastructure resources in the AWS cloud environments following best security practices and standardize the process and configuration.
  • Designed AWS Cloud formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of web applications and database templates.
  • Created AMI and created IAM policies for delegated administration within AWS. user experience and latency.
  • Worked on Docker registry, Hub and creating, attaching, networking of Docker containers, container in airflow in GCP for ETL related jobs using different airflow operators. Worked parallelly in both GCP and AWS Clouds coherently.
  • Integrated GIT into Jenkins to automate the code check-out process, Pushing the code to the GitHub to automate the release. Responsible for design and maintenance of the GIT Repositories, views and the access control strategies.
  • Designed and implemented a configurable Application and Data security model to ensure controlled access to the data on Production, Test and Development environments.
  • Experience in designing and implementing monitoring strategies using Dynatrace for large-scale, distributed software applications and infrastructure.
  • Involved in installation, configuration and administration of Apache Web server, BEA Web Logic and IBM Web sphere and Samba Server in UNIX, Linux and Windows environment.
  • Monitored Kubernetes clusters using Splunk, Nagios and Grafana.
  • Experience on Data Analytics, Advanced Data Analytics, Visualization, Advanced Visualization, Dashboard Customization, and Advanced Dashboard Customization in Splunk.
  • Extensively worked in configuration of Nagios monitoring tool and troubleshooting the system level and issues related to SS7 signaling or related to call flow.

Environment: s: Azure, Terraform, AWS, Openstack, IaaS, Ansible, Docker, Kubernetes, MySQL, GIT, AJAX, JavaScript, OLTP, Linux.

Confidential, Baltimore, MD

AWS/DevOps Engineer

Responsibilities:

  • and designed instance strategies.
  • Installed and configured the Jenkins, Jenkins plugins, job setup, pipeline and delivery pipeline views and build automation using Jenkins server
  • Worked on for build automation.
  • Creation of gitlab-ci.yml file for kicking build process in stages that run in docker container.
  • Experience with GCP tools for monitoring, logging, and error reporting, such as Stackdriver and Cloud Logging and familiarity with GCP APIs and the ability to integrate with other Google Cloud services or third-party services.
  • Experience deploying applications on GCP or developing applications using Google Cloud services.
  • Performed daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems and key processes, reviewing system and application logs, and verifying completion of scheduled jobs such as backups.
  • Provided support to Production, Staging, QA, Development environments for code deployments, changes and
  • Involved in designing, integration, deployment and administration of Drupal, PHP, Tomcat across the LINUX platforms.
  • Worked on UNIX (Solaris) and Linux (RHEL) command-line environments and involved in writing Unix shell scripts to automate system tasks
  • Experience in supporting all phases of the system development life cycle including development, testing, QA and production
  • Experience with desired application instances: IIS, .Net, Liferay, Crystal Report Server, Siebel CRM, OBIEE, Oracle Forms and Reports, JIRA, IBM, InQuira, OnDemand, MicroStrategy, Docker, PCF, F5 and VMware Ops Center.

Environment: AWS, Terraform, EC2, Apache, S3, GCP, Hadoop, Ansible, Linux, Python, Openstack, Jenkins, GITLAB, SVN, JSP, Java, Docker, UNIX, JIRA.

Confidential

Cloud Engineer

Responsibilities:

  • Used Puppet extensively to configure servers with Users, Keys and security configurations
  • Deploy puppet to completely provision and manage AWSEC2 instances, volumes, DNS, and S3.
  • Extensively Used Jenkins as Continuous Integration tools to deploy the Spring Boot Microservices to AWS Cloud and Pivotal Cloud Foundry (PCF) using build pack
  • Involved in setting up Jenkins Master and multiple slaves for the entire team as a Cl tool as part of and scripts (Bash), Ruby, Python and PowerShell for setting up baselines, branching, merging and automation processes across the environments using SCM tools like GIT, Subversion (SVN), Stash and TFS on Linux and windows platforms
  • Experienced in all the phases of software development lifecycle from Requirements Analysis, Design, Development, Testing and Deployment, UAT of software applications
  • Proficient in working with various technologies like Core Java, J2EE, Spring, Spring MVC, Spring Boot, JDBC, Hibernate, Ibatis, XML, REST Web Services and Design Patterns.
  • Skilled in Database Backup Restore, Attach and Detach, Recovery and Disaster Recovery Procedures.
  • Extensive experience in using all types of SQL Server Constraints, SQL Server Database design, Database maintenance, developing Transact- SQL queries, stored procedures, and triggers using SQL Servers.
  • Experience in designing, implementation and support ofLinuxinfrastructure that utilizes both cloud based and physical servers.

Environment: Puppet, AWS, DNS, S3, Jenkins, GIT, ANT, XML, Python, .Net, SDLC, JDBC, Java, MySQL, Linux.

Confidential

Linux Engineer

Responsibilities:

  • Implementing 24/7 monitoring with Nagios, adding and removing hosts and services for ping monitoring.
  • Proficiency in Linux Bash scripting and following PEP guidelines in Python, as well as expertise in designing Unix shell scripts
  • Building servers with Kickstart for Linux, Jumpstart for Solaris, Ignite for HP-UX and knowledge of NIM for AIX installation
  • Installing, configuring, and maintaining application servers such as WebSphere and WebLogic, and web servers like Apache, HTTP and Tomcat on UNIX and Linux
  • Experience in designing, implementing, and supporting a Linux infrastructure that uses both cloud-based and physical servers
  • Building a Red Hat Network Satellite Server for automated Linux installation and creating a Linux system image with SystemImager. environment.

Environment: Ansible, Nagios, Linux, Python, Kickstart, Tomcat, RedHat, Windows.

Confidential

System Administrator

Responsibilities:

  • Experience in managing Linux/Unix servers and providing production support for various applications on Red Hat Enterprise Linux and Windows environments.
  • Implementing RAID 0/1/5 for creating logical volumes using VERITAS Volume Manager and Red Hat cluster servers in a SAN storage environment.
  • Strong proficiency in automating processes using shell scripting with bash and Python.
  • Building servers with jumpstart using Kickstart on a timely basis to meet corporate requirements.
  • Extensive knowledge of server administration, kernel upgrades, deployment of patches, and implementing firewall and security policies.
  • Daily administration of local and remote servers, including troubleshooting and error correction
  • Experience in RHEL provisioning, upgrades, patching, configuration, and performance tuning using a satellite server.
  • Knowledge of VDI operations and configuration, including VMWare ESX/ESXi.
  • Database administration of programs such as MySQL and Oracle.
  • Performing OS installations, upgrades, and server patching by configuring PXE and DHCP servers using Kickstart and Red Hat Satellite.
  • Experience with disk partitioning, Logical Volume Manager (LVM), and RAID.
  • Writing shell scripts in Bash, C-shell, and cron in Linux to automate tasks.

Environment: Linux (RHEL 5.x/6.x), Solaris 9/10/11, RedHat Satellite Server, Apache Tomcat, Jump Start, Kick Start, Bonding, RAID, WebSphere, SQL, Agile, WebLogic, Subversion, Samba, NFS, FTP, LVM, Tomcat, Apache, Bash, Python.

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