We provide IT Staff Augmentation Services!

Cloud Lead Architect/consultant Resume

5.00/5 (Submit Your Rating)

TorontO

SUMMARY:

  • A Certified Azure and AWS, Google Architect/Cloud/Linux Engineer/Consultant. Over 7+ years of extensive experience in architecting mission critical Cloud (AWS/Azure/Google Cloud Platform) Micro services and
  • 10+ years’ experience in Linux and Linux and Unix (HP - UX/Solaris/AIX). Proficient incloud services like VPC, EC2, S3, ELB, Autoscaling Groups (ASG), EBS, RDS, IAM, CloudFormation, Route 53, CloudWatch, CloudFront, CloudTrail, GCP stack driver, Azure monitor etc. Extensive hands on experience in Red hat OpenShift and Kubernetes.
  • Extensive hands on experience in CI/CD pipeline and DevOps/automation. ITIL and Scrum master certified.

TECHNICAL SKILLS

Cloud Computing: Amazon Web Services (AWS), Azure Microsoft and Google Cloud

Operating System: RHEL 6&7, Debian, Centos, SUSE, HPUX 11 V3 and Solaris 10

Automation Tools: Ansible, Terraform, Cloud Python SDKs, CloudFormation and Bash

Server Monitoring tools: & Log management Nagios and Elastic Stack

Containers Management: Docker, Docker Swarm, Red hat OpenShift and Kubernetes

Change Management tools: ServiceNow, IBM ISM and HP OpenView

Source Code Repo: Git, Bitbucket and other Cloud Repo services

Web Applications/DB: Hybris, Tomcat, JAVA, Eclipse

Database: SQL and NoSQL

Networking: TCPIP, DHCP, DNS, SMTP, FTP, TFTP, NFS, Samba and DHCP

Storage: EMC (VMAX/VNX), NetApp, HP, IBM and Hitachi

Project Management: Agile/Scrum

PROFESSIONAL EXPERIENCE:

Confidential, Toronto

Cloud Lead Architect/Consultant

Responsibilities:

  • Design, both technically compliant and secure Cloud solutions for Micro Services, as well as value-based, on-demand services to facilitate the effective transition and migration of projects and programs into unique and adaptive cloud environment
  • Complete vendor management
  • Led migration of Virtual Machines to Azure Virtual Machines for multiple global business units.
  • CI/CD pipeline using Jenkin
  • Complete infrastructure build utilizing Terraform
  • End to end configuration management using bash and Ansible
  • Created application run time environment for developers using Vagrant
  • Designed and implemented disaster recovery for mission critical application and Micro Services
  • Prepared capacity and architecture plan to create the Azure Cloud environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases.
  • Specialized in cloud migration of server, Databases and application to Azure, AWS and Google cloud platform
  • Performed client acceptance and prototyping using Azure Compute and SQL Azure instances.
  • Built a solution using Azure managed services StorSimple and Blob storage to archive on-premises data to cloud.
  • Configured VMs in availability sets using Azure portal to provide resiliency for IaaS based solution and scale sets using Azure Resource Manager to manage network traffic
  • End to end on premise to cloud integration
  • ELK stack for log management and analytics
  • Designed, implemented mission critical Micro Services in Google cloud platform and Azure.
  • Complete design, implantation and operational management AWS

Confidential, Toronto

Sr. Cloud Engineer/Consultant

Responsibilities:

  • Design, both technically compliant and secure Cloud solutions, as well as value-based, on-demand services to facilitate the effective transition and migration of projects and programs into unique and adaptive cloud environment
  • Hands on experience in CI/CD pipeline using Jenkins
  • Deep understanding of Web application operations and monitoring
  • Deployed Cloud infrastructure as code in AWS, Azure and GCP
  • Kubernetes using Docker implementation in AWS, Azure and GCP
  • Used Elastic stack for log management
  • Design, implement and maintain all AWS infrastructure and services within a managed service environment
  • Perform data migration from on premises environments into AWS, Azure and GCP
  • Provisioned cloud (AWS, Azure, GCP) infrastructure using Terraform
  • Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
  • Knowledge of agile software development practices and release management
  • Support the business development lifecycle (Business Development, Capture, Solution Architect next migration path, cost reporting and impartments
  • Create a lift and shift process model clearly defining the individual steps of the lift and shift process
  • Good experience with data warehousing on Azure
  • Designed, built and administered Hadoop Cloudera 5.4-5.71 distribution
  • Knowledge of public cloud in general and broad knowledge on next gen Cloud services like PaaS, Automation, Containers, application portability
  • Good understanding of SQL and NO SQL Databases
  • Automated day to day server/application administration using bash shell scripts
  • Ability to clearly present concepts and Cloud Managed Services products to internal and external clients
  • Ability to calculate the ROI from adopting cloud and articulate this to customer
  • Create VM, Kubernetes containers and load balancer on Google cloud platform, AWS and Azure
  • Creating and assigning relevant permissions to users in cloud environment
  • Implemented Hadoop high availability using Quorum Journal Managers and Zookeeper Failover Controllers
  • Application support for Web hosting environment
  • Deployed server automation using Ansible.
  • Built servers on AWS: Importing volumes, launching EC2, creating security groups, auto-scaling and load balancers
  • Walk through the solutions to developers in design meetings
  • Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNet and subnets
  • Deployed and administered Jenkins for continues integration
  • Provided high availability for IaaS VMs and PaaS role instances for access from other services in the VNet with Azure Internal Load Balancer.
  • Experience in upgrading Hadoop clusters using rolling upgrade/express upgrade methods
  • Importing and exporting data into and from HDFS
  • Experience in setup, configuration management of security for Hadoop clusters using Kerberos

Confidential, Toronto, Montreal

Sr. Cloud Engineer

Responsibilities:

  • Leverages AWS technologies to continuously find ways to solve customer needs. Provides recommendations to offering organization on new offerings, upgrades/augmentation to enhance corporate competency in meeting the needs of customers
  • AWS core services: Compute, Networking, Storage, CDN, Database, Application Services, Deployment and Management
  • Large-scale distributed systems architecture, Eventual consistency, Relational and non-relational databases
  • Complete administration of AWS, Azure and GCP
  • CI/CD pipeline and production deployments
  • End to end infrastructure deployments with DevOps tools in cloud computing
  • Deep understanding of Kubernetes micro services
  • Experienced in design, development, deployment, management of complex solutions on AWS for clients
  • Demonstrated, strong analysis capabilities and technical knowledge by providing innovative, supportable technical solutions
  • This individual will be exposed to a variety of IaaS, PaaS and SaaS platforms including Amazon Web Services (AWS) and will architect and develop our current and future set of best practices for how to run and manage applications within a highly agile DevOps culture
  • Supported mission critical application hosted on AWS, Azure and GCP application engines
  • Cloud servers creation automation using Terraform, Ansible and Python SDKs on all the three AWS, Azure and Google Cloud Platform
  • Deployed and maintained Hybris environment
  • Automated day to day server/application administration using bash shell scripts
  • Create VM, Kubernetes containers and load balancer on Google cloud platform, AWS and Azure
  • Creating and assigning relevant permissions to users in cloud environment
  • Application support for Web hosting environment
  • Deployed server automation using Ansible.
  • Built servers on AWS: Importing volumes, launching EC2, creating security groups, auto-scaling and load balancers

Confidential

Sr. Cloud Engineer/Consultant

Responsibilities:

  • Cloud (AWS) architecture, Design and Implementation experience of cloud native Apps
  • Good Hadoop and Linux administration experience
  • Day to day support for mission critical Linux servers
  • Cloud server creation automation using Terraform, Ansible and Python SDKs on all the three AWS, Azure and Google Cloud Platform
  • Created VMs, VPC and load balance in AWS and Azure cloud environments
  • Designed, built and administered Hadoop Cludera 5.4-5.71distribution
  • Automated day to day server/application administration using bash shell scripts
  • Design, build and administer AWS, Azure and Google Cloud Platform based applications and VMs
  • Supported mission critical applications on AWS, Azure and Google Cloud Platform.
  • Deployed and administered Jenkins for continues integration
  • Deployed Linux Virtual Machines on AWS and Azure
  • Designed mission critical applications on AWS and GCP
  • Designed, Build and Administered Linux servers
  • Installation of various Hadoop Ecosystems and Hadoop Daemons.
  • Day to day troubleshooting of large-scale Hadoop clusters, Communicate and escalate issues appropriately.
  • Involved in bench marking Hadoop/HBase cluster file systems various batch jobs and workloads

Confidential

Cloud/Linux Consultant

Responsibilities:

  • Performed installation, maintenance and troubleshooting of Linux and HP-UX servers
  • Performed system back-ups and security updates on regular basis
  • Setup AWS, Azure and GCP environment.
  • Created AWS load balancer, autoscaling and configured route53 services.
  • Configured S3 buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on requirement.
  • Good debugging and automation skills
  • Analysed performance problems and implemented preventive maintenance procedures.
  • Assisted in setting-up proactive monitoring tools such as Nagios and Ganglia
  • Configured Azure VM and load balancers.
  • Docker deployment knowledge
  • Created GCP VM and configured user ID and created DR solution.
  • Deep understanding of Hadoop critical components
  • Implemented Hadoop high availability using Quorum Journal Managers and Zookeeper Failover Controllers
  • Installation of various Hadoop Ecosystems and Hadoop Daemons.
  • Implemented Hadoop MapR cluster in development environment with 34 data nodes
  • Very familiar with standard IT processes (ITIL)

Confidential

Linux/HP-UX/SAN Account Lead

Responsibilities:

  • Implemented, administered and supported LINUX systems.
  • Complete Linux systems implementation, administration and support.
  • Configuration and administration of Linux Network Administration.
  • Good experience of Linux LVM configuration.
  • Configured disks with LVM and LINUX mirror utilities.
  • Recognized as a creative and effective technical trouble-shooter, crisis manager and problem solver.
  • Member of technical advisory committee.

We'd love your feedback!