SUMMARY

• Over 7 years of IT experience in AWS Cloud computing and on devops life cycle such as on Build and Release Management, Configuration Management, Continuous Integration, Continuous Deployment, Linux Administration.
• In depth understanding of the principles and best practices of software configuration management (SCM) in Agile, Scrum and Waterfall methodologies.
• Experienced in working on Amazon Web Services like IAM, VPC, EC2, RDS, S3, AWS CLI, Route 53, SNS, AWS SQS, Elastic Load Balancing, Auto Scaling, CloudWatch, CloudFormation and AWS Ops Works.
• Hands on experience in writing YAML/JSON scripts to automate Infrastructure using AWS cloud formation as well as Terraform.
• Involved in planning, designing and configuring multi - region failover with AWS Route53.
• Provide high durability of the available data using data storage in the AWS S3 bucket, versioning S3, lifecycle policies.
• Experienced in administrating of IAAS & PAAS Virtual Machines and Web/Worker roles on Microsoft Azure Classic and Resource Manager and troubleshooting issues on Azure VMs
• Gained experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling
• Worked as an administrator on Microsoft Azure and part of DevOps Team for internal projects automation and build configuration management. Involved in configuring virtual machines, storage accounts, and resource groups
• Hands on experience in Develop automation and processes to enable teams to deploy, manage, configure, scale, monitor applications in Data Centers and in AWS Cloud and AZURE
• Experience in creating and launching EC2 instances using AMI's of Linux, Ubuntu, RHEL, and Windows and wrote shell scripts to bootstrap instance.
• Launched Kubernetes to provide a platform for automating deployment, scaling and operations of application containers across clusters of hosts.
• Worked on Kafka, Spark and Hadoop.
• Experience with Apache Kafka for High throughput for both publish and subscribing with disk structures that provide constant performance even with many terabytes of stored messages.
• Ensured data integrity and data security on AWS technology by implementing AWS best practices.
• Provide highly durable and available data by creating and managing policies for S3 data store, versioning, life cycle policies.
• Experienced in working on container-based technologies like Docker, Kubernetes and Red Hat OpenShift.
• Worked on orchestration tool Kubernetes to automate deployments, scaling, and management of applications which are running multiple docker Containers.
• Worked on several Build tools like Ant, Maven and automation (CI/CD) tools like Jenkins also involved in Repository Management tools like ARTIFACTORY.
• Good at Installation and Configuration of Nexus repository manager for sharing the artifacts within the company and efficient in using Nexus and Artifact Repository managers for Maven builds.
• Experienced in authoring pom.xml files, performing releases with the Maven release plug-in and managing Maven repositories.
• Expertise in using AWS Code Deploy for migrating application code across multiple environments.
• Experienced in setting up installation, configuration and security of Jenkins, bamboo and team city for integrated automation of build and deployments.
• Managed to create and run applications on a serverless infrastructure and implemented CI/CD using AWS Lambda application model.
• Experience in using configuration management tools like Ansible and Chef in managing system configurations supporting large Environments.
• Experienced in writing Ansible playbooks to automate the build and deployment process on servers using SSH connections and reduced overall processing time.
• Experienced in installing and working with Docker containerization techniques to run different software packages on the containers to improve Continuous Delivery framework.
• Experienced in troubleshooting, Configuring and deploying various enterprise applications in WebLogic, WebSphere, and Tomcat.
• Expert in using ELK Stack, Elastisearch for deep search and data analytics, Logstash for centralized logging, log enrichment and parsing and Kibana for powerful and beautiful data visualizations.
• Monitored system performance health and using Monitoring Tools within AWS infrastructure like CloudWatch.
• Hands on experience in monitoring EC2 instances and several AWS services using Nagios as well as log monitoring tools like Splunk.
• Experience in issue management and bug tracking tool JIRA for different severity level and priorities
• Extensive knowledge in writing Shell, Python, YAML/JSON and bash scripting and throughout the entire Devops Life cycle.

TECHNICAL SKILLS

Infrastructure as a Service: AWS

Containerization Tools: Docker, Kubernetes, Red Hat OpenShift

Configuration Management Tools: CHEF, Ansible

Build Tools: Maven, ANT

AWS Cloud Services: EC2, VPC, S3, Route 53, SNS, IAM, Cloud Front, EBS, ELB, ECS, Cloud Watch, Auto Scaling, SQS, Elastic Beanstalk

Monitoring Tools: Nagios, Splunk, Kafka

Scripts/ Languages: Shell Scripting, Ruby, YAML, Python, Perl

Databases: Oracle, MongoDB, SQL Server, MS SQL, NOSQL

SCM/Version Control Tools: GIT, GitHub

Continuous Integration Tools: Jenkins

SDLC: Agile, Scrum

Bug Tracking Tools: JIRA, Remedy

Operating System: UNIX, Linux (Ubuntu, Debian, RHEL, Centos), Windows

PROFESSIONAL EXPERIENCE

Confidential, Raleigh, NC

Sr. Cloud/DevOps Engineer

Responsibilities:

• Working as a DevOps Engineer for a team that mainly worked closely with many proprietary (Facebook owned) tools as well as Open source tools like Jenkins, Gerrit, AWS, JIRA, etc. which were used for development and deployment of internal tools and programs.
• Monitoring and maintaining the AWS S3 buckets which contained all the packets of each build. Each packet had metadata files which were extracted to proceed with the flash testing.
• Configured and maintained the AWS Lambda function to trigger when there is a Jenkins build kicked off, which internally gets stored on AWS S3 bucket for everybody to access.
• Experienced Cloud and DevOps engineer in Automating, Configuring and deploying instances on AWS, AZURE Cloud environments and Data centers.
• Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Mentored developers in Kubernetes design and custom application implementation and created a mesh pod network between Kubernetes clusters.
• Working with many other parallel DevOps teams inside the company that involved a huge cluster of Continuous Integration Systems which involved many channels of the existing servers.
• Responsible for authoring and editing Python scripts for automation purpose which enabled the QA testers to perform testing with a more reliable and faster performance.
• Written, Planned and Created the Infrastructure as code using Terraform and used it to create infrastructure in Azure and maintained using Ansible and Implemented Terraform modules for deployment of applications across multiple cloud providers.
• Created Ansible Playbooks to provision Apache Web servers, Tomcat servers, Nginx, Apache Spark and other applications.
• Used Ansible Tower to streamline the applications delivery and services to AWS in a cost-effective, Simple and Secure manner.
• Integrated Ansible with Jenkins to provide automation, continuous integration through Jenkins and Implemented Jenkins Workflow and Plugins for repeatable deployments of multi-tier applications, artifacts and services to Docker.
• Worked on Ansible Tower to automate repetitive tasks, quickly deploy critical applications and proactively manage changes.
• Written Ansible handlers with multiple tasks to trigger multiple handlers and to decouple handlers from their names, making it easier to share handlers among Playbooks and Roles.
• Our work involves more towards hardware testing and performance through ‘Dogfooding’ where we usually implement various DevOps principles.
• Responsible for migration of Flash testing codes from Gerrit server to internal GIT server.
• Coordinated with various Source Control Administrator teams to create many authorized repositories which can be accessible to all developers worldwide.
• Deployed Azure IaaS virtual machines and Cloud services (PaaS role instances) into secure VNets and subnets.
• Experienced on creating Azure VM, Cloud Services and Storages by using Azure Power-Shell Script
• Design an ELK system to monitor and search enterprise alerts. Installed, configured and managed the ELK Stack for Log management within EC2 / Elastic Load balancer for Elastic Search.
• Monitored performance of the applications and analyzed log information using ELK (Elasticsearch, Logstash, Kibana).
• Deploy Spark jobs to Databricks platform from Corporate GitHub repositories by using Python tools, Setup VPC peering for Databricks Spark clusters to receive streaming data from Kafka clusters and access Data stax clusters in different AWS Production account, created users in Databricks platform and assigned ACLs to users.
• Collected Website activity and Stream processing using Kafka
• Managed Amazon instances by taking AMIs and performing administration and monitoring of the Amazon instances like EC2 using Amazon CloudWatch and Nagios, Splunk.
• Debugging Chef Recipes and their execution trying to pull logs into Splunk and monitor deployments
• Configured ELK (Elastic, Logstash and Kibana) stack and implemented indexing of sample text files for effective search.
• Designed, deployed and coordinated with different teams to enhance ELK platform and took ownership of innovative technologies.

Environment: - Amazon Web Services (AWS) LDAP, GIT/Gerrit, Jenkins, Chef, Agile, Bash scripting, Dogfooding, Shell, Python Scripting, Kafka, PHP, Phabricator, Confluence, JIRA, CentOS, Artifactory, Maven, various other Facebook Internal Tools.

Confidential

DevOps Engineer

Responsibilities:

• Cloud/DevOps Engineer for a team that involved different development teams and multiple simultaneous software releases. Provided end-user training for all Subversion (SVN)/GIT users to effectively use the tool.
• Worked on project Container Interface Application (CIA) for all Cisco Product lines and configured Cisco boxes through Yang technologies and REST APIs. Used Python Django Framework for developing the web framework for the application.
• Extensively used Kubernetes to deploy, load balance, scale and manage Docker containers with multiple name-spaced versions.
• Created Cloud Formation Templates for different envs(DEV/stage/prod) to automate infrastructure (ELB, Cloudwatch alarms, ASGs, SNS, RDS etc) on click of a button.
• Designed AWS Cloud Formation templates to create custom sized VPC, Subnets, NAT to ensure successful deployment of Web applications and database templates.
• Used Terraform in AWS Virtual Private Cloud (VPC) to automatically setup and modify settings by interfacing with control layer.
• Provisioned the highly available EC2 instances using Terraform and Cloud Formation and wrote new plugins to support new functionality in Terraform.
• Created and maintained Amazon Virtual Private Cloud (VPC) resources such as Subnets, Network Access Control Lists (NACL), and Security Groups.
• Converted existing AWS infrastructure to server-less architecture (AWS Lambda) and deployed it via Terraform. Migrated data from Datacenters and on-premises to Cloud using AWS Import/Export Snowball service.
• Helped in creating a next generation platform using CoreOS Linux with fleet / Kubernetes based on Docker containers running in a Microservices ecosystem on VMWare ESXi.
• Used ELK for monitoring the application-level metrics as well as system-level metrics.
• Implemented a centralized logging system using log stash configured as an ELK stack (Elastic search, Log stash, and Kibana) to monitor system logs, VPC Flow logs, Cloud Trail Events, changes in S3 etc.
• Served the ELK stack community with use cases and Logstash plugin and deployed applications using Jenkins server and Troubleshoot build & release job failures, resolve, work with developers on resolution.
• Responsible for build, design and maintain the platform automation infrastructure using Chef. Involved in setting up Chef Workstation, Nodes, Cookbooks, and Recipes using Ruby Scripting. Excellent knowledge on Knife, Ohai, Databags, Berkshelf in Chef.
• Implemented Test Driven Development (TDD) approach for writing Chef Cookbooks using Test-Kitchen, Berkshelf, FoodCritic, ChefSpec.
• Experience working with Docker Hub, Internal Docker Registry and Docker Engine.
• Created Docker images using a Dockerfile, worked on Docker container snapshots, removing images and managing Docker volumes and for branching purpose.
• Implemented a distributed messaging queue to integrate with Cassandra using Apache Kafka and ZooKeeper.
• Developed a stream filtering system using Spark streaming on top of Apache Kafka.
• Created and configured Ansible playbooks to automatically install packages from a repository, to change the configuration of remotely configured machines and to deploy new builds and configured with Ansible Tower so that other users can run them with just a push of a button.
• Built EAR and WAR files with custom configuration settings using Maven Tool Kit and further developed Ansible playbooks to pull the artifacts stored in Nexus to continuously deploy the archives on to Apache Tomcat Web Server and WebSphere Application Servers.
• Enhanced existing CI System Jenkins and official nightly builds and managed it solely. Installed multiple Plugins for smooth build and release pipelines.
• Responsible for the development and maintenance of processes and associated scripts/tools for automated build, testing and deployment of the products to various developments.
• Configured JIRA workflows according to the needs to the CM team and integrated the project management features of with the build and release process.

Environment: - Amazon Web Services (AWS) (EC2, Cloud Front, CloudWatch, RDS, ELB, EBS, S3, Route53, SNS, SQS, KMS, Cloud Trail, IAM, Cloud Formation, Virtual Private Cloud (VPC), LDAP, Vagrant, Microsoft AZURE, Terraform, GIT/SVN, Jenkins, Chef, JIRA, Gerrit, Kafka, Agile, ELK RedHat Linux, Docker, Powershell, GCP, Bash, shell, Python, Django, Kubernetes, Tomcat, Google Container Engine, OSS Sonatype Nexus.