Venkata Subrahmanya Chandra Sekhar Addala
Scarborough,ON
Summary
Professional experience of 6+ years in IT comprising of Designing, Development, Integration of DevOps tools Stack, Cloud Infrastructure Automation, Infrastructure Provisioning and Configuration Management, Continuous Integration/Deployment Implementation, System Administration and Cloud Migration.
Overview
6
6
years of professional experience
Work History
Senior Cloud Engineer
York university
Toronto, ON
11.2022 - Current
- Designed and implemented automated deployment pipelines for cloud-native applications.
- Managed the lifecycle of cloud infrastructure resources including provisioning, configuration, monitoring and decommissioning.
- Provided support to internal teams on cloud architecture design best practices.
- Developed terraform automation scripts to monitor system performance metrics in real-time.
- Troubleshot complex technical issues related to cloud environments with a focus on root cause analysis.
- Implemented Azure Service Offering, such as Azure cloud services, Azure storage, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure Webapp, Azure Funtionapp, Azure Databricks, Azure Data factory, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Monitor, and Azure Service Bus
- Advised development teams on how to migrate existing applications from on-premises data centers into public clouds.
- Deployed many resources using terraform, infrastructure as code standards that could be used across multiple projects for repeatable deployments.
- Configured computing, networking and security systems within cloud environment.
- Developed scripts to automate deployment and maintenance of public cloud resources.
- written many terraform modules and deployed resources using those modules
- Worked on creating the GitHub runners and GitHub workflows to setup the pipeline process
- Deployed synapse, Databricks, function apps through terraform automation
- simplified the function app terraform code into modules and made the parent code in way to make it understand easily to other teams
- Maintained version control systems such as GitLab for all software development projects.
- Automated manual tasks wherever possible using scripting languages like terraform.
- Managed infrastructure components including virtual machines, storage devices, networks.
Cloud/DevOps Engineer
Nike
Markham, ON
11.2020 - 10.2022
- Worked on Architecting and Implementing Azure Service Offering, such as Azure cloud services, Azure storage, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure Webapp, Azure Funtionapp, Azure Databricks, Azure Data factory, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor, and Azure Service Bus
- Worked on Azure Scalability and Azure Availability - Build VMs availability sets using the Azure portal to provide resiliency for IaaS based solution and Virtual Machine Scale Sets (VMSS) using Azure Resource Manager (ARM) to manage network traffic
- Implementing Infrastructure as code through Test-Driven Development and Continuous Integration/ Deployment/ Delivery expertise
- Implemented and configured Kubernetes services such as Google Kubernetes engine (GKE), Azure Kubernetes where we have applications deployed in multi-cloud
- Lead the team on Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and Controlling and granting database access and Migrating On premise databases to Azure Data lake store using Azure Data factory
- Automated Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup using Terraform
- Wrote Templates for Azure Infrastructure as code using Terraform to build staging and production environments
- Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them and track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers
- Worked on the monitoring tools and visualization tools like Prometheus and Grafana and monitoring the Kubernetes pod metrics in regular intervals of time
- Configuring the Prometheus alerts from the Kubernetes cluster via email-notifications and web-hook mechanisms
- Managed Kubernetes charts using Helm, Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages
- Developed and Implemented Kubernetes manifests, helm charts for deployment of microservices into k8s clusters
- Worked on Kubernetes for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, Creation of Pods through new application and control the scaling of pods, troubleshooting pods through ssh and logs, writing/modification of Build configs, templates, Image streams etc
- Implemented Jenkins CICD multi-branch pipeline and automated by using groovy script and defined the pipeline flow by integrating it with maven/sonar/artifactory applications and deployed it to PCF/kubernetes
- Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change
- Configured Ansible Tower to manage Multiple Nodes and Manage Inventory for different Environments
- Created ansible playbooks and roles to deploy the Jenkins/sonarqube/artifactory applications and the related database servers on a docker container and orchestrate it with marathon
- The image, plugins, permissions, credentials, licenses, users, groups host constraints and data are defined in the playbook
- Managed the Maven Repository using Nexus tool and used the same to share the snapshots and releases of internal projects
AWS DevOps Engineer
Capital One
Toronto, ON
09.2019 - 11.2020
- Worked on AWS Cloud Formation templates to create custom sized VPC, subnets, EC2 instances, ELB, security groups
- Worked on tagging standard for proper identification and ownership of EC2 instances and other AWS Services like Cloud Front, CloudWatch, OpsWork, RDS, ELB, EBS, S3, glacier, Route53, SNS, SQS, KMS, Cloud Trail, and IAM
- Created complex infrastructure which consists of following services in AWS such as EC2 instances, EBS, Security groups, Subnet, VPC, S3 storage buckets, Elastic File Storage (EFS) systems, Elastic Load Balancers (ELB), Application load balancers, Auto scaling groups, High availability zones, Route53, IAM roles, AWS Lambda, AWS Elastic Beanstalk, AWS Cognito authentication to quickly deploy and manage the applications Using Terraform
- Configured AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js, Python and Docker on familiar servers such as Apache, and IIS
- Wrote Ansible playbooks from scratch in YAML
- Installing, setting up & Troubleshooting Ansible, created and automated platform environment setup
- Extensive used of Elastic Load Balancing mechanism with Auto Scaling feature to scale the capacity of EC2 Instances across multiple availability zones in a region to distribute incoming high traffic for the application
- Orchestrated and migrated CI/CD processes using Cloud Formation, terraform templates and Containerized the infrastructure using Docker setup in AWS and Amazon VPCs
- Supporting, optimizing and critical deployments in AWS Lambda, automating infrastructure, CI/CD and DevOps process
- Developed and implemented architectural solutions involving multiple Pivotal Cloud Foundry (PCF) foundations on VMware virtual infrastructure (on-premises)
- Worked with developer to automate the mobile application builds from the scratch
- Creating S3 buckets and restricting access to buckets and directories to specific IAM users
- Automating configuration management, infrastructure and application deployments using Ansible
- Coordinate/assist developers with establishing and applying appropriate branching, labelling/naming conventions using GIT source control
- Deployed Applications (JAR, WAR, RAR and EAR) and related troubleshooting in clustered environment using Admin console and WLST scripts
- Worked closely with the Unix team to set up the load balancer for the WebLogic/Jboss domains
Automation Engineer
Datawave Technologies INC
Hyderabad
04.2018 - 07.2019
- Worked on AWS cloud services like EC2, S3, RDS, ELB, EBS for installing, configuring and troubleshooting on various Amazon images for server migration from physical into cloud
- Worked on integrated AWS Cloud Watch with EC2 instances for monitoring the log files and store in cloud watch logs and used lambda services through python scripts for taking regular EBS snapshot
- Designed an AWS cloud formation template to create VPC
- Worked on Blue/green deployment strategy by creating new applications which are identical to the existing production environment using CloudFormation templates & Route53 weighted record sets to redirect traffic from the old environment to the new environment via DNS
- Built a new CI pipeline
- Testing and deployment automation with Docker, Jenkins, and Ansible to roll out changes to the customers in a faster and reliable way ensuring zero downtime
- Configured Chef to build up services and applications on the instances once they have been configured using CloudFormation
- Responsible for managing the Chef Client nodes and upload the cookbooks to chef-server from Workstation
- Written Chef Cookbooks and recipes in Ruby to Provision several pre prod environments consisting of Cassandra DB installations
- Developed CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the CI/CD system to build, test and deploy
- Used Jenkins for Continuous Integration and deployment into Tomcat Application Server
- Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments and automated builds using Maven and Ant for creation of build artifacts like war or ear files
- Installed and configured the Jenkins, Jenkins plugins, job setup, pipeline and delivery pipeline views and build automation using Jenkins server
- Configured SAML authentication to login to our AWS accounts using single sign on and deployed cross account roles using AWS CloudFormation stack sets across different accounts from admin account
- Created Docker images using a Docker file, worked on Docker container snapshots, removing images and managing Docker volumes and expertise in setting up Docker Host, Docker Registry, RHEL/ Centos Atomic Host, Docker images (Centos, RHEL and Ubuntu instances)
- Worked on Docker architecture, creating Microservices for multi clustered platform and orchestrating multiple containers using Kubernetes
- Used configuration management tool like Ansible to automate tasks and to deploy applications
- Coordinate/assist developers with establishing and applying appropriate branching, labelling/naming conventions using GIT source control
- Deployed Applications (JAR, WAR, RAR and EAR) and related troubleshooting in clustered environment using Admin console and WLST scripts
- Worked closely with the Unix team to set up the load balancer for the WebLogic/Jboss domains
- 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.
Education
Bachelor of Science - Electronics And Communications Engineering
Jawaharlal Nehru Institute of Science And Technolo
Kakinada04-2018
Skills
Cloud Environments: Azure, AWS, PCF
Operating Systems: Linux (RedHat, CentOS, Debian Ubuntu), Unix, Windows
Configuration Management Tools : Ansible, Chef, Puppet
CI/CD Tools: Jenkins, Bamboo, Azure DevOps, Team Cit
Container Tools: Docker
Container Orchestration Platform : Kubernetes, Docker Swarm, OpenShift, Apache Mesos
Version Control Tools: Sub Version (SVN), Git, GitHub, GitLab
Build/Automation Tools: Gradle, Maven, Ant, Dotnet, MS Build, Node
Monitoring Tools: Nagios, Splunk, Cloud Watch, ELK Stack, Datadog
Scripting: Bash/Shell, Python, Ruby, JSON, PHP
Databases: Oracle, MySQL, MS SQL, Mongo DB, Dynamo DB
Web Servers: Apache HTTP, Nginx
Application Servers: Apache Tomcat, Apache HTTPD, JBoss
Networking: DNS, DHCP, SMTP, HTTP, SNMP
Repository Management tools: Artifactory, Nexus, Docker Hub
Bug/Ticket Tracking Tools: JIRA, Servicenow, Azure Boards
Accomplishments
- Received Above and Beyond award for the year 2023 at york university for showing great skills with automation through terraform and migrating many services form manual to automation.
Timeline
Senior Cloud Engineer
York university
11.2022 - Current
Cloud/DevOps Engineer
Nike
11.2020 - 10.2022
AWS DevOps Engineer
Capital One
09.2019 - 11.2020
Automation Engineer
Datawave Technologies INC
04.2018 - 07.2019
Bachelor of Science - Electronics And Communications Engineering
Jawaharlal Nehru Institute of Science And Technolo
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