Summary
Overview
Work History
Education
Skills
Interests
Disclaimer
PROFESSIONAL DETAILS
Timeline
Generic

Kumaresan P

Summary

AWS and DevOps Engineer, Sys Admin and Unix working on a challenging and rewarding position where I can continue learning and using all my knowledge. In companies that can utilize a performance driven individual; providing cost-effective solutions and implementing quality driven environments.

Overview

12
12
years of professional experience
2
2
Languages

Work History

  • Certified Solutions Architect with over 8+ years of experience as AWS, Azure and GCP Cloud Engineer.
  • Hands on experience on Google Cloud Platform (GCP) service like Kubernetes Engine, Compute Engine, App Engine, Cloud Functions, Cloud Run, Cloud KMS, Datastore, Storage, Cloud SQL, Spanner, Pub/sub, VPC, Load balancing and cloud Armor.
  • Extensive Knowledge and hands-on experience implementing PaaS, IaaS, SaaS in Public Clouds using like AWS, Google Cloud, and Kubernetes etc
  • Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.
  • Configured Azure Virtual Networks, subnets, DHCP address blocks, Azure network settings, DNS settings, security policies and routing. Also, deployed Azure IaaS virtual machines and Cloud services (PaaS role instances) into secure Virtual Networks and subnets.
  • Manage the AWS & Azure infrastructure and strategic vendor relationships including development firms.
  • Experience in working on AWS and its services like AWS IAM, VPC, EC2, ECS, EBS, RDS, S3, Lambda, ELB, Auto Scaling, Route 53, Cloud Front, Cloud Watch, Cloud Trail, SQS, and SNS and experienced in Cloud automation using AWS Cloud Formation templates to create custom sized VPC, subnets, NAT, EC2 instances, ELB and Security groups.
  • Strong experience on DevOps essential tools like Ansible, Docker, Kubernetes, Subversion (SVN), GIT, Jenkins, Ant, Maven and migrated VMWAREVMs to AWS and Managed Services like EC2, S3, Route53, ELB, EBS.
  • Experienced with principles and best practices of Software Configuration Management (SCM) in Agile, scrum, and Waterfall methodologies.
  • Strong experience in AWS, creating, importing and launching volumes, EC2, RDS, Lambda, security groups, auto - scaling, load balancers (ELBs), NACL in the defined VPC to design cost effective, fault tolerant and highly available systems.
  • Designed, configured, and deployed Amazon Web Services (AWS) for a multitude of applications utilizing the AWS stack (Including EC2, Route53, S3, RDS, Cloud Formation, Cloud Watch, SQS, IAM), focusing on high-availability, fault tolerance, DR and auto-scaling.
  • Good understanding of AWS Elastic Block Storage (EBS), various volume types and utilization of different types of EBS volumes based on requirement.
  • Build Customized Amazon Machine Images (AMIs) & deployed these customized images based on requirements.
  • Configured and Managed Elastic Load Balancing (ELB) to avoid fault tolerance and avoid single point of failure of applications, hence provide high availability and network load balancing.
  • Worked with version/source management tools like GIT.
  • Working in Agile Environment.
  • Build and configured virtual Data center in Amazon cloud to support Enterprise hosting which includes VPC, public, private subnets, Security groups and Route tables.
  • Expertise in troubleshooting the problems generated while building, deploying and in production support.
  • Experience in addressing networking issues and setting up bonding.
  • Microsoft Azure:
  • Define cloud network architecture using Azure virtual networks, VPN and express route to establish connectivity between on premise and cloud.
  • Assist leadership with the ongoing development of policies and procedures for the purpose of consistent product delivery.
  • Develop PowerShell scripts and ARM templates to automate the provisioning and deployment process.
  • Participate in internal and customer meetings assisting with the ongoing evolution of technology offerings.
  • Provide technical guidance on building solutions using Azure PaaS and other services.
  • Troubleshoot and identify performance, connectivity and other issues for the applications hosted in Azure platform.
  • Deploy Infrastructure using ARM templates for Azure PaaS services with deployment tools such as Octopus and VSTS.
  • ARM Template development for IaaS, and PaaS deployments. Azure Resource Management and automation with Octopus and PowerShell.

Cloud DevOps Engineer

Alstom Transport
11.2019 - Current
  • Project: MDP (Mobility Data Platform and IOT)
  • Working with Terraform for building an infrastructure for Application Deployment on Azure cloud.
  • Building an application in Docker and deploying with Kubernetes.
  • Worked with Jenkins to build a docker images and pushed a artifact (docker images) into azure cloud storages.
  • Work as part of a team, to design and develop cloud data solutions.
  • Develop and manage CI/CD process for different types of application and automate as many processes as possible.
  • Creating and managing application integration for identity and access management.
  • Having experience of creating conditional access policies Multifactor Authentication (MFA), Resetting MFA and Resolving the MFA issues.
  • Worked on Jenkins CI/CD to make complete automation infra creation using terraform script and deploying the application on azure cloud VM’s and Kubernetes clusters.
  • Migrate a cloud service between different clouds using Terraform script
  • Update the SSL certificate in Remote server.
  • Update SSL certs in Kubernetes using cert manager.
  • Implemented the sonarqube to be deployed a zero vulnerability codes.
  • Technologies:
  • Azure Cloud
  • AWS
  • Kubernetes
  • Docker
  • Ansible
  • Terraform
  • Shell script
  • Python

DevOps Engineer

Lakeba Technologies
08.2018 - 10.2019
  • Project: Ezidox, Verimoto, Ezifin.
  • Working knowledge of Azure Services IaaS, PaaS, and SaaS and coming trends in the Cloud space.
  • Serving as a hands-on subject matter expert for DevOps and Automation in an Azure/AWS infrastructure environment.
  • Strong foundation of knowledge around Azure and/or AWS cloud services and the cloud ecosystem
  • Work with business units, software developers, security, to design and build applications and services within AWS and/or other cloud providers.
  • Provide daily monitoring, management, troubleshooting and issue resolution to systems and services hosted on cloud resources.
  • Deployment of Cloud service including Jenkins and Nexus on Docker using Terraform.
  • Work as part of a team, to design and develop cloud data solutions.
  • Develop and manage CI/CD process for different types of application and automate as many processes as possible.
  • Manage and support customer environments in Microsoft Azure cloud.
  • Consult customers on technical aspects of installation, sizing, scaling.
  • Support development teams in technical questions of continuous integration/continuous delivery, delivery organizations.
  • Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems.
  • Develop a one-click deployment using ARM template in azure (provisioning the service and deploy the application over there).
  • ARM templates writing, setup automation for resources provisioning (Azure PowerShell).
  • Worked on most of the service in azure cloud.
  • Migrated the DNS records in azure without downtime.
  • Understanding of load balancers, DNS, virtual networks and firewalls in cloud environment.
  • Setup monitoring (performance metrics, OMS)
  • Azure Active Directory basics:
  • Azure AD authentication.
  • Users and groups.
  • Roles.
  • CI/CD for .NET projects experience. Manage, develop, build CI/CD pipeline, including:
  • Check code quality.
  • Unit, integration and functional tests implementation.
  • PowerShell scripting for custom tasks automation.
  • Environments strategy understanding.
  • Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, AKS, and EKS worked with Terraform.
  • Managed Docker orchestration and Docker containerization using Kubernetes.
  • Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

Senior AWS DevOps Engineer

Syscloud Technologies
02.2017 - 08.2018
  • Implementing AWS Security Groups and NACL (Access control list) for Additional Layer of Security.
  • Planning and Implementing, Disaster Recovery and Fault for AWS services.
  • Setting up AWS Cloud watch and Custom Metrics for AWS services
  • Troubleshooting AWS Auto scaling and EC2 instances related issues.
  • Automated AWS resources like S3, EC2, VPC using Python Scripts BOTO3 (SDK).
  • Configuring AWS Elastic Load balancer and Pre-warming Elastic Load Balancer as required.
  • Created S3 buckets and managed policies using IAM roles for S3 buckets and used S3 bucket and Glacier for storing historical data.
  • Setting up AWS RDS (AZ-Failover and Read replicas) and performing DMS (Database Migration Service) along with SCT (Schema Control Tool).
  • Automating Infrastructure using multiple AWS Cloud formation templates and updating the resources with the help of helper scripts.
  • Implementing AWS Cloud Front for the newly built websites.
  • Implementing AWS ROUTE53 and AWS IAM security best practices.
  • Implemented Backup & Recovery, S3 life cycle management, reduced costs by creating Customized Alarms. Managed Billing across several AWS accounts and reduced costs by effectively utilizing the resources.
  • Developed configuration management git from scratch and prepared documentation accordingly.
  • Developed build and deployment scripts using MAVEN as build tools in Jenkins to move from one environment to other environments.
  • Managing Amazon web services (AWS) infrastructure with automation and Cloud Formation.
  • Build development pipeline from Jenkins for the development process.
  • Managed Docker clusters.
  • Docker container configuration, activation, handling live webhosting & troubleshooting.

Cloud Server Administrator

Hakunamatata solution
01.2014 - 02.2017
  • Responsible for Deploying Mobile applications Backend server and Rest API's in AWS cloud.
  • Responsible for Deployment.
  • Responsible for deploying microservice in cloud based.
  • Responsible for deploying and maintaining the production environment.
  • Responsible for Installation and configuration of apache tomcat, JBoss servers in Linux environment.
  • To maintained different environments in single projects.
  • Automated several tasks like automated backups, upgrading the system everyday using the cron jobs.
  • Automated for Jenkins build and release process.
  • Automated for service deployment in cloud server. Scalability, highavailability based on end-user request.
  • Configuring ELB for scalability.
  • Configuring monitoring (Nagios and New Relic) service for getting notification about server health issue.
  • Configured ELK for storing API logs.
  • Responsible for system administration, system planning, co-ordination and group and user level management.
  • Cost Optimization on audit for client AWS accounts.
  • Synchronize and migrate data, database objects between development and production environments.

Education

Master of Computer Application -

Tiruvalluvar University

Bachelor of Computer Application - undefined

Bharathiar University

Skills

Version Control Systems: Git

Interests

Playing cricket, Browsing internet

Disclaimer

I hereby declare that the information furnished above is true to the best of my knowledge. Date: Place: Signature kumaresan.p

PROFESSIONAL DETAILS

  • Father’s Name : Mr. periyannan.p
  • Date of Birth : 1989-11-20
  • Sex : Male
  • Marital Status : Single

Timeline

Cloud DevOps Engineer

Alstom Transport
11.2019 - Current

DevOps Engineer

Lakeba Technologies
08.2018 - 10.2019

Senior AWS DevOps Engineer

Syscloud Technologies
02.2017 - 08.2018

Cloud Server Administrator

Hakunamatata solution
01.2014 - 02.2017

Bachelor of Computer Application - undefined

Bharathiar University

Master of Computer Application -

Tiruvalluvar University
Kumaresan P