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Devops Engineer Information Technology

Location:
Chicago, IL
Posted:
March 04, 2024

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Resume:

ROHITH

Cloud DevOps Engineer

Email: ad33v6@r.postjobfree.com

Phone: 919-***-****

PROFESSIONAL SUMMARY

Effective professional experience of 8 years in the field of Information Technology focused on Amazon Web Services, DevOps, and Linux Administrator that includes the principles of Continuous Integration, Continuous Delivery, and Continuous Deployment.

Experience in Linux system Administration, build engineering & Release Management process, including an end-to-end code configuration, building binaries & deployments, and entire life cycle model in enterprise applications.

Designed and managed Public/Private cloud infrastructures using Amazon Web Services (AWS) which include EC2, S3, Cloud Front, Elastic File System, RDS, VPC, Direct Connect, Route53, Cloud Watch, Cloud Trail, Cloud Formation, Redshift, EMR and IAM which allowed automated operations.

Developing Cloud formation scripts Terraform for leveraging different cases for Enterprise cloud platform.

Extensively worked on terraform providers like AWS, GCP, Azure.

Configured Elastic Load Balancers with EC2 Auto Scaling groups and created monitors, alarms, and notifications for EC2 hosts using Cloud Watch.

Used Groovy scripts for CI/CD pipeline builds and actively involved in the entire pipeline setup and Jenkins configurations.

Experience in setting up the build and deployment automation for Terraform scripts using Jenkins.

Worked on Google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, Cloud SQL, stack driver monitoring and cloud deployment manager.

Setup GCP Firewall rules to allow or deny traffic to and from the VM’s instances based on specified configuration and used GCP cloud CND (Content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.

EDUCATION

MS Graduate from Kent State University in Computer Information Science in 2016 and bachelor’s in computer science from JNTU in 2014.

TECHNICAL SKILLS

CM Tools

Puppet, Chef, Ansible

Container Orchestration

DOCKER, KUBERNETES

Environments

vCenter, vSphere 6.5 vCenter 6, VMware

Ticketing Tools

RALLY, JIRA, SERVICE NOW

Cloud Platform

GCP, AWS, Azure.

Monitoring Tool

Prometheus, Telegraf, Grafana, Consul

Database

Influxdb, MongoDB, MySQL, Cassandra, Postgre SQL

Security

Vault, Security groups, NACL, Whisper

CI Build Tools

Jenkins, Hudson

Scripting

BASH, PYTHON, Groovy, Ruby

Cisco Products

Fog Director, Field Network Director, Edge Computing

Build tools

ANT, MAVEN, Artifactory

Bug/Issue Tracking

Rally, Jira, ServiceNow

Version Control Tools

Git, Bitbucket

Methodologies

AGILE, WATERFALL

Operating Systems

Windows Family, RHEL, Ubuntu, Centos

Provisioning tool

Terraform, CloudFormation

OS Flavors

CENTOS, UBUNTU.

EXPERIENCE

Client - Apple

Vendor - SIS

Cloud Engineer – April 2023 – Present

Responsibilities:

Experienced on Google Cloud Platform (GCP) service like compute engine, cloud load balancing, cloud storage, cloud SQL, GKE and cloud deployment manager.

Created Multiple Projects per environment, VPC’s, GKE clusters for each environment in DEV, TEST, STAGE, PROD.

Proficient in Terraform for automating infrastructure provisioning ang management.

Experience with GCP security best practices, Identity and Access management (IAM), and security policies.

Worked on core AWS services such as Setup and building AWS resources like VPC, EC2, RDS, S3, IAM, EBS, security group, Autoscaling, SES, SNS, Elastic beanstalk, Amazon lambda, load balancing, and RDS in Cloud Formation JSON templates.

Created Python and Bash tools to increase efficiency of call center applications system and operations; data conversions scripts, AMQP/RabbitMQ, REST, JSON and CRUD scripts for API integration.

Extensive experience of software development in python Set up the scripts for the creation of new snapshots and deletion of old snapshots in S3 using S3 CLI tools.

Created AWS S3 buckets, performed folder management in each bucket, and managed cloud trail logs and objects within each bucket.

Automated routine tasks and deployments using Terraform, saving X hours per week.

Managed all resource creation in GCP projects using terraform modules. Use to create GKE using terraform provision script which does terraform init, plan and apply.

Worked on Rio by creating multiple stages like checkout a branch, validating the terraform changes in Rio pipeline.

Created validation PR which does the automated validation check of module and create the PR for changes in GitHub.

Worked on Whisper as a secret storage management, where you can manage the secret by assign principal to buckets.

Using helm charts able to deploy the application in different cloud platform (GCP, AWS)

Managed Docker orchestration and Docker containerization using Kubernetes, Used Kubernetes to orchestrate the deployment, scaling and management the pods in multiple namespaces.

Created and deployed Kubernetes pod definitions, tags, labels, multi-pod container replication. Managed multiple Kubernetes pods containers scaling and auto-scaling.

Collaborated with cross-functional team to design and deploy scalable and highly available solutions.

Worked on IAM policies and permissions, ensuring the principle of least privilege, and maintaining a strong security posture.

Implemented disaster recovery and backup solutions in GCP for critical applications, ensuring high availability and data integrity.

Client – Microsoft

Vendor - TEKsystems

Systems Engineering – August 2022 – April 2023

Responsibilities:

OpenStack/Linux administrators work more in OpenStack, Cloud computing, virtualization, Linux system administration and configuration management.

Experience in managing multiple private clouds for enterprise on Bare metal, Containers to address different project needs.

Experience in OpenStack components Neutron, Nova, Cinder, Horizon, Heat, Glance and Swift.

Extensive hands-on experience in designing, developing, and deploying infrastructure using Terraform, leveraging its declarative syntax and provider-based approach for cloud automation.

In-depth knowledge of Azure/AWS/GCP cloud services and resources, including virtual machines, networking, storage, and identity management. Proficient in utilizing Azure resources manager (ARM) templates and Azure CLI in conjunction with Terraform.

Expertise in implementing infrastructure as a code principle using terraform, enabling consistent and repeatable infrastructure provisioning and configuration across different environments.

Exceptional problem-solving skills, capable of identifying and resolving issues in complex Terraform configurations, ensuring reliable and stable infrastructure deployment.

Automated the deployment of OpenStack in n number of server using helm charts.

Experience in orchestration tool like Kubernetes for deployment, scaling, and management of Docker containers.

Extensive hands-on experience in writing Groovy scripts for junks pipelines, utilizing its powerful features and libraries to automate build, test and deployment processes.

Extensively involved in designing and implementing declarative pipelines using Jenkins, ensuring streamlined and reliable CI/CD workflows.

Expertise in integrating and automating various stages of the software development lifecycle, including source code management build, test and deployment using Jenkins and Groovy scripting.

Exceptional problem-solving skills, capable of identifying and resolving issues in complex Jenkins pipeline and grooving scripts, ensuring smooth execution and reliable results.

Deploying the OpenStack components on multimode with high availability environments.

Deploy OpenStack environments through automated custom pipeline via Jenkins.

Responsible for installing Jenkins master and slave node architecture.

Experience working in Agile environments, implementing DevOps principles and practice to enable faster and more reliable software delivery.

Client - Ford Motor Company

Vendor - TEKsystems

Systems/AWS DevOps Engineer – IOT, February 2018 – August 2022

Responsibilities:

Experienced in automating, configuring, and deploying instances on AWS, Data centers also familiar with EC2, cloud watch, Cloud formation templates, and managing security groups in AWS.

Management and administration of AWS service CLI, EC2, VPC, S3, ELB glacier, Route 53, CloudTrail, IAM, and Trusted advisor services.

Configured AWS Multi-factor authentication in IAM to implement 2 Step authentication of user’s access using google authenticator and AWS Virtual MFA.

Worked on Multiple projects in Ford such as Smart Locker, Smart Shades, Sound Masking, Spatial Analytics, Wayfinding, EV charging, Smart metering, and Sage Glass where I was responsible for the application management for all projects and providing the infrastructure to deploy the application in CaaS or VaaS.

Automated setting up server infrastructure of the DevOps services using ansible, shell and python scripts.

Created Terraform scripts to move existing on-premises applications to cloud.

Expertise in writing new plugins to support new functionality in Terraform.

Created Terraform recipes for AWS data platform including different services like ELK, Postgress, Spark, Lambda.

Improve speed, efficiency, and scalability of the continuous integration environment, automating wherever possible using python, Ruby, Shell and Power shell scripting.

Wrote Python code embedded with JSON and XML to produce HTTP GET request, parsing HTML data from websites.

Strong Knowledge with python development under Linux OS and Mac OS.

Web application development using Python 3.5, Django 1.9, Flask, MongoDB, JavaScript, AJAX, HTML, XML and template languages.

Proficient in Python, shell scripting, SQL, build utilities like open make ANT, and cruise control.

Involved in design, implementation and modifying the Python code.

Experience in Configuring and integrating the servers the different environments to automatically provisioning and creating new machines using configuration management/provisioning tools like Ansible.

Automated configuration management and deployments using Ansible playbooks and Yaml for resource declaration. Creating roles and updating playbooks to provision servers by using Ansible.

Build code using Ant, Maven and Gradle into Jar file and deployed using Jenkins/Bamboo. Wrote multiple declarative pipelines using groovy scripting in Jenkins to move from one environment to other environments.

Depends on the requirement from the Client I use to create the infrastructure and deploy the application based on the projects in Docker Containers or on Physical servers which were Linux-based or Windows-based.

Managed SVN repositories for branching, merging, tagging, and developing Shell/Groovy scripts for automation purposes.

Creating scripts in DSL Groovy which integrate with Jenkins for Automation to create jobs.

Best practice in provisioning tools such as Terraform and CloudFormation templates.

Experience with Jenkins, and Hudson as CI/CD tools and strong expertise with Ant and Maven Build Frameworks.

Experience with SaaS (Software as a service), PaaS (Platform as a service), and IaaS (Infrastructure as a service) solutions.

Worked on a Smart parking project which includes IoT products like Cisco IP cameras, Daktronics Signage VSOM, and Kiwi video analytic software installed on the Windows Operating system.

Assigned a static IP address to the New Edge devices and configured those devices to cisco management console tools like Fog Director and Field Network Director.

Edge computing experience, HW, and OS loading/support (Windows/Linux).

Performing Weekly backup operations ensuring all required file systems and system data are successfully backed up to the appropriate media.

ESXi host maintenance and upgrades, doing daily health checks, addressing network and storage issues, virtual hardware and tools upgrade, hardware replacement and troubleshooting, provisioning new ESXi hosts and clusters using the vCenter management tool.

Interlinked all those products are managed by using a single management system called Actility server and to manage application used Davra as Kubernetes platform.

Provisioning new bare metal windows servers and performing post-install configurations and validations as per the client standards.

Worked on Migrate all the Virtual machines from Loaner Server to New Servers Using vCenter Management console adding NAS as a storage.

Worked on New Cisco Devices and Products like Fog Director, Field Network Director, and Edge computing devices like IC3000, and IR829.

Hosting deployment tools (VMware vSphere) and infrastructure management(vCenter) experience including security hardening.

Client - Cisco, San Jose, California

AWS/DevOps Engineer, March 2017 - February 2018

Responsibilities:

Worked on creating whole infrastructure VPC, Subnets, EC2, RDS, Route53, Security groups, and internet gateway on AWS using Cloud formation templates and terraform.

Experience in setting up and configuring the Amazon ECS service and used Amazon IAM to grant fine-grained access to AWS resources to users with MFA enabled.

Installing and configuring application supporting tools (Kubernetes, Docker, Consul) on EC2 instances using Chef recipes and cookbooks while the environment comes up.

Created Jobs for Builds and Deployments and installed several plugins in Jenkins to support multiple tools required for the implementation of projects.

Automated CI/CD pipeline for Docker containers’ monitoring tools and written script to test them.

Experience with Chef Enterprise Hosted as well as On-Premises, installed workstation, Bootstrapped Nodes, Wrote Recipes and Cookbooks and uploaded them to chef-server, and managed On-site applications/Services/Packages using Chef as well as AWS for EC2 /S3/Route53 & ELB with Chef cookbooks.

Extensively worked on CI/CD pipeline for code deployment by engaging different tools (Git, Jenkins, CodePipeline) in the process right from developer code check-in to production deployment.

Created Multiple environments dev, test, stage and release of different applications by provisioning Kubernetes clusters on AWS Docker, ansible and terraform.

Strong Experience in automating vulnerabilities management patching and CI/CD using chef and other tools like GitLab, stash, Jenkins, and AWS/Open stack.

Cloud Engineering experience with AWS and GCP include load balancing.

Debugging the failure issues by capturing the array and register dumps using python scripts, traces and performing several experiments by interacting with the design team.

Responsible for ensuring systems & Network security, maintaining performance, and setting up monitoring using Cloud watch, Prometheus, and those are visualized by Grafana dashboard.

Installed and configured consul for service discovery tool for Docker containers.

Installed and configured Telegraf, Influxdb, Grafana, and Kapacitor (TIGK) stack for monitoring infrastructure and applications.

Representation of the system in hierarchy form by defining the components, subcomponents using python and developed set of library Functions over the system based on the user needs.

Experience in Designing, Architecting, and implementing scalable cloud-based applications in GCP

Configured Grafana and influxdb and created dashboards on Grafana to show graphs of environmental performance.

Created private Cloud using Kubernetes that supports Dev, Stage, POC, and PROD Environments.

Managed local Deployments in Kubernetes using the Open shift platform, creating a local cluster and deploying application containers.

Installing, configuring, and managing Continuous Integration, Continuous Delivery, Automation, and configuration management tools to make the Open shift cloud setup.

Zenith Systems. Inc, Akron, Ohio

AWS/DevOps Engineer (Internship on CPT), October 2016 - February 2017

Responsibilities:

Good knowledge of Amazon VPC, EC2, Amazon S3, Amazon Elastic Load Balancing, Route 53, Auto Scaling, Redshift, RDS, Cloud Formation, Security Groups, and Lambda Functions.

Participated in weekly release meetings with technology stakeholders to identify and mitigate potential risks associated with the releases and using Version control tools like SVN, Git, and bitbucket.

Designed and managed public/private cloud infrastructures using Amazon Web Services (AWS) which include VPC, EC2, S3, Cloud Front, Elastic File System, RDS, Direct Connect, Route53, Cloud Watch, Cloud Trail, Cloud Formation, and IAM which allowed automated operations.

Experience in DevOps Engineering mainly in automating, building, deploying, and releasing code from one environment to another environment.

Experience in working on DevOps with Agile Methodology and tools area (Code Management and build and release automation and service and incident management).

Strong hands-on experience in configuring and integrating the servers with different environments and creating new machines using configuration management/provisioning tools like CHEF (Knife, recipe, cookbook).

Experience in working with several Docker components like Docker Engine, Machine, creating Docker images, Compose, Docker Registry, and handling multiple images primarily for middleware installations and domain configurations.

Assist with incident resolution by working Couchbase/mongodb engineering support team Assist app teams during stress testing application with Couchbase.

Handling a team working on providing Global support for Couchbase Database technology. Identify problems early and work them to resolution with customer and internal teams.

Experience in installation, configuration, and maintenance of Red hat Enterprise Linux (RHEL), CentOS, and Ubuntu at multiple data centers.

Familiar with LVM on Linux to create volumes with layouts like RAID.

Experience in GitLab and Familiar with branching, tagging, and maintaining the version across the environments using SCM tools like Subversion (SVN), Bitbucket, and Unix/Linux and Windows environments.

Familiar with container orchestration tools and concepts like Docker Engine and Kubernetes.



Contact this candidate