Chandra P.

Devops Engineer

Chandra is a proficient DevOps Engineer with over seven years of IT experience. He specializes in Azure and DevOps for configuration management, continuous integration, and deployment.

Chandra has a solid understanding of Software Configuration Management principles within Agile, Scrum, and Waterfall methodologies. He has designed and implemented various deployment strategies using CI/CD pipelines and configuration management tools to ensure zero downtime and efficient deployment.

Chandra's technical expertise and commitment to high-quality solutions make him a valuable asset to any development team.

Principale expertise
  • Digital Ocean
    Digital Ocean 4 ans
  • Zabbix
    Zabbix 3 ans
  • Jenkins
    Jenkins 4 ans
Autres compétences
  • Python
    Python 6 ans
  • PostgreSQL
    PostgreSQL 4 ans
  • Elastic Stack
    Elastic Stack 4 ans
Chandra
Chandra P.

Canada

Commencer

Expérience sélectionnée

Emploi

  • Infrastructure Engineer

    Aleyant Systems LLC - 2 années 6 mois

    • Working as an Infrastructure Engineer, handling responsibilities in Site Reliability Engineering (SRE) and DevOps.
    • Ensuring reliability and scalability of infrastructure using AWS, Azure, Ansible, Terraform, Digital Ocean, VMware, Docker, and Kubernetes.
    • Maintaining system stability and performance, identifying and addressing potential issues preemptively.
    • Collaborating with development teams to implement best practices for infrastructure management.
    • Automating routine tasks and improving system efficiency with programming skills.
    • Streamlining development processes through continuous integration and continuous deployment pipelines.
    • Managing cloud infrastructure and automating server provisioning.
    • Deploying cloud services using Terraform and managing Docker Swarm clusters.
    • Ensuring high availability application architecture and security parameters.
    • Utilizing infrastructure automation tooling, virtualization technologies, and cloud service platforms.

    Les technologies:

    • Les technologies:
    • Digital Ocean Digital Ocean
    • PostgreSQL PostgreSQL
    • MySQL MySQL
    • Ansible Ansible
    • Terraform Terraform
    • Redis Redis
    • Azure Azure
    • AWS AWS
  • Azure Devops Engineer

    AllTake Technologies - 9 mois

    • Managed and deployed Azure infrastructure, using Terraform for creating infrastructure and deploying AKS clusters.
    • Utilized ARM to manage Azure resources and facilitate on-premises asset migration to Azure.
    • Designed Azure DevOps Pipelines to handle resources across multiple subscriptions.
    • Integrated Helm Charts into CI pipelines for deploying new services.
    • Leveraged FLUX CD to transfer application bundles from on-premises environments to AKS clusters.
    • Configured routing for on-premises and Azure gateways using the GRM tool.
    • Automated alert rules and metric enablement through ARM templates and queries.
    • Demonstrated leadership and problem-solving skills, contributing to continuous deployment.

    Les technologies:

    • Les technologies:
    • Jenkins Jenkins
    • Docker Docker
    • Git Git
    • Helm Helm
    • Ansible Ansible
    • Azure Azure
    • Kubernetes Kubernetes
  • Devops Engineer

    Bell - 10 mois

    • Automated deployment, scaling, and operations of application containers using Kubernetes.
    • Utilized GitLab-CI pipelines for microservices builds, pushing to Docker registry, and deploying to Kubernetes.
    • Set up a CI/CD system with Kubernetes, Ansible, Helm, and Docker for building, testing, and deploying applications.
    • Used Kibana for log querying and problem-solving, and Grafana for traffic trend analysis and health monitoring.
    • Created custom resources in Kubernetes and upgraded components without service outages.
    • Monitored network services and host resources with NewRelic.
    • Executed Python scripts for automation tasks and managed Red Hat Satellite server for subscriptions and repositories.
    • Managed Kubernetes charts with Helm for reproducible builds and handled Kubernetes manifest files and Helm package releases.
    • Designed and developed distributed testing services using Docker, Kubernetes, and Python.
    • Wrote Ansible playbooks for configuration management and service automation.
    • Maintained Git repositories in Bitbucket/GitLab and set up automated testing and deployment with GitLab-CI or Jenkins.
    • Manually adjusted resources for specific deployments using vSphere Client or web client.
    • Followed Agile methodologies (Scrum, Kanban) and maintained status updates on SWARM Goals.
    • Deployed and maintained Python-based microservice applications in Kubernetes.

    Les technologies:

    • Les technologies:
    • Grafana Grafana
    • Docker Docker
    • Git Git
    • Helm Helm
    • Python Python
    • Ansible Ansible
    • Redis Redis
    • AWS AWS
    • Kubernetes Kubernetes
  • Devops Engineer

    FX innovations - 1 an 9 mois

    • Managed AWS CloudFront for content delivery and automated backups to S3 buckets and EBS.
    • Created nightly AMIs for critical servers and configured AWS IAM and Security Groups in VPC.
    • Managed user access with IAM and set up a Master-Slave configuration for parallel builds.
    • Troubleshot build and release job failures and maintained reproducible builds for project teams.
    • Used Chef Cookbook to automate tasks, standardized environments with Chef and Ansible, and controlled resources with Vagrant.
    • Managed GIT repositories, handled code merging, production deployments, and resolved merge conflicts.
    • Automated security group updates and iptables with Puppet config.
    • Handled CI/CD using Jenkins, Maven, and Ansible; managed local deployments in Kubernetes, configured the MQ Series network, and managed containers with Docker.
    • Installed and configured Terraform, built Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code.
    • Built cloud infrastructure for multi-tier applications with failover and high availability using EC2, S3, Elastic Load Balancer, and Auto Scaling groups.
    • Resolved infrastructure issues affecting critical processes and implemented Nagios event handlers for auto restarts on application and service failures.

    Les technologies:

    • Les technologies:
    • Bash Bash
    • Shell Shell
    • Ansible Ansible
    • Terraform Terraform
    • AWS AWS

Éducation

  • License ès sciencesElectronic and Communication Engg

    SRM University · 2011 - 2015

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