Traffic Manager Release Engineer

Ashik Khulal

Phone: 979-***-****

Email: **********@*****.***

AREAS OF EXPERTISE

Highly motivated DevOps engineer with overall 5+ years of extensive experience in Software Development Life Cycle (SDLC), Software Configuration Management (SCM), Change Management (CM), Build Automation and Release Management (RM). Involving cloud computing platforms like Amazon Web Services (AWS), and Microsoft Azure as well as some knowledge on Google Cloud Platform (GCP).

Implemented Continuous Integration and Continuous Delivery pipeline using tools such as Git, Jenkins, Azure DevOps Services, Ansible, Chef, Puppet, Docker, Kubernetes, and Terraform.

Worked on installation of Docker using Docker toolbox. Worked on creation of custom container images, tagging, and pushing the images and writing Docker files to manage Docker images.

Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers.

Created and managed Docker files for creating necessary base images used in automation of build and deployment environments.

Extensively worked in configuring Amazon EC2, S3, RDS, Lambda, ELB, EBS, SNS, Route53, Glacier, and different administrations in the AWS family.

Experienced in dealing with Microsoft Azure IaaS - Virtual Networks, Virtual Machines, Azure Functions, Cloud Services, Resource Groups, Blob Storage, Express Route, VPN, F5 Load Balancing, Application Gateways, Auto-Scaling, and Traffic Manager.

Experienced in various SDLC project phases: Requirement/System gathering, Requirement/System Analysis, Functional Specification, Business Logic's, Design/ Layered Architecture, Test plans, Coding, Code review, Testing, Performance tuning, Documentation, Implementation and Maintenance.

Experienced in designing, architecting, and implementing scalable cloud-based web applications using AWS and Microsoft Azure.

Expertise in deploying Java/ J2EE and .Net applications in Web Servers and Application Servers.

Experienced in developing and maintaining build, deployment scripts for test, staging, and production environment using MSBuild, Maven and Shell scripts.

Installation and configuration of Apache Tomcat / Nginx / WebSphere on Linux and Windows machines.

Working knowledge of source code and configuration management solutions such as Git and Bitbucket.

Experience with automation configuration management tools like Chef, Puppet, and Ansible.

Knowledge on building and installing servers through Azure Resource Manager Templates (ARM) or Azure Portal.

Worked with Terraform key features such as Infrastructure as code (IaC), Execution plans, Resource Graphs, Change Automation and extensively used Auto scaling launch configuration templates for launching Azure VMs and Amazon EC2 instances while deploying Microservices.

Worked on Terraform for automating VPCs, ELBs, security groups, SQS queues, S3 buckets, and continuing to replace the rest of our infrastructure. Using terraform as a tool, managed different infrastructure resources Cloud, VMware, Bare Metal Servers, and Docker containers.

Experienced in Ansible automation including writing playbooks, customizing modules for test driven developments, implementing, and designing AWS EC2/ Azure VMs by Ansible roles to ensure deployment of web applications.

Wrote Ansible YAML scripts that can store the credentials for various sandboxes and secured them on the remote servers.

Automated using scripting languages such as PowerShell, Bash, Python and YAML.

Expertise in using build tools like Maven, Apache ANT, and MSBuild for the building of deployable artifacts such as jar and NuGet package to the artifact repository like JFrog and Nexus.

Automated deployment using Ansible to provision Amazon AWS Instances to enable continuous deployments.

Implemented build per branch as part of CI process in Jenkins to run SonarQube code coverage and run unit and integration tests to improve the pipeline efficiency.

Automated weekly releases with Maven scripting for compiling Java codes, debugging and placing builds into repository.

Created and integrated Git webhooks with Jenkins to automatically trigger the build automation process.

Experienced in using Tomcat, JBOSS, Nginx and WebSphere application servers for deployment.

Expertise in writing Jenkins’ pipeline file on Groovy, YAML configuration file for Azure Pipelines and Ansible, Chef’s cookbooks and recipes and knowledge on Puppet’s modules and manifests.

Experienced in using monitoring tools such as Nagios and Prometheus in addition to ELK stack for log monitoring and application monitoring.

EDUCATION

Texas A&M University – College Station, TX

B. Sc. in Computer Science

TECHNICAL SUMMARY

Languages

C/C++, .Net, Java, PHP, Python, Shell, Ruby, YAML, and Go.

Source Control/Versioning

Git, GitHub, GitLab, Atlassian Bitbucket, and SVN.

Continuous Integration Tools

Jenkins, Atlassian Bamboo, TeamCity.

Artefact Repository Management Tools

Nexus, and JFrog.

Build Tools

Maven, MSBuild, Apache ANT, and Gradle.

Configuration Management Tools

Ansible, Puppet, and Chef.

Application/ Web Servers

Apache Tomcat, Nginx, JBOSS WebLogic, and WebSphere.

Operating Systems

Linux, RHEL, Ubuntu, Windows, VMware, and Virtual Box.

Databases

DynamoDB, Oracle 11g, MySQL, Postgres SQL, and Cosmos DB.

Monitoring Tools

Nagios, Prometheus, Azure Application Insight, and AWS CloudWatch.

Containerization/ Orchestration

Docker, and Kubernetes.

IaC Tools

Terraform.

Cloud Technologies

Amazon Web Services, Microsoft Azure, and GCP.

Bug Tracking Tools

JIRA, Confluence and Version One.

PROFESSIONAL EXPERIENCE

Louisiana Pacific Cooperation, College Station, TX Aug 2019 – Present

Azure DevOps Engineer

Responsibilities:

Gained experience in dealing with Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Autoscaler, and Traffic Manager.

Experienced in configuring VM’s availability sets using Azure Portal to provide resiliency for IaaS based solution and scale sets using Azure Resource Manager to manage network traffic.

Partnering as an administrator on Microsoft Azure and part of DevOps Team for internal projects automation and build configuration management. Involved in configurating virtual machines, storage accounts, and resource groups.

Building and installing servers through Terraform configuration files. Experienced in writing Terraform Files to setup automation for Azure Resources Manager provisioning using Rest APIs.

Deployed and optimized multi-tier .Net application to Azure Pipelines for Continuous Integration and Continuous Delivery jobs to build, test, and deploy NuGet Packages to the Azure Artifact Repository. Utilized SonarQube for code analysis and code review.

Experience in accessing Azure Resource Manager for provisioning resources using Azure Portal, Azure PowerShell, Azure CLI and Rest APIs.

Developing build and deployment processes for Pre-production and Production environment.

Developed YAML Scripts for Azure Pipeline automation purposes.

Deployed Kubernetes cluster with Azure Container Service (ACS) from Azure CLI and used Kubernetes and Docker for the runtime environment of the CI/CD system to build, test, and deploy.

Responsible for implementing containerized based applications on Azure Kubernetes by using Azure Kubernetes service (AKS), Kubernetes Cluster, which are responsible for cluster management, Virtual Network to deploy agent nodes, Ingress API Gateway, MySQL Databases and Cosmos DB for stateless storage of external data, and setup reverse proxy Nginx in the cluster.

Evaluated Kubernetes for Docker container orchestration. Managed Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, templatize Kubernetes manifests, provide a set of configuration parameters to customize the deployment and Managed releases of Helm packages.

Participated with developers to identify necessary Azure resources and automate their provisioning.

Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments.

Created Docker Images using a Docker file. Worked on Docker container snapshots, removing images and managing Docker Volumes and experienced with Docker container service.

Setup Docker to automate container deployment through Azure Pipeline and dealt with Docker Hub for making Docker Images and taking care of various images essentially for middleware establishments and space setups.

Managed Azure Container Registry to store private Docker Images, which are deployed and Azure Pipelines to build, test, and deployments. Azure Monitor to collect metrics and logs. Configured Monitor to track performance and maintain security and used Prometheus tool to collect application metrics.

Created Nginx configuration for the application to work as a Multitenant app.

Working with Ansible tower to manage Web Applications, config files, data Base, commands, user mount points, packages and for running playbooks stream in real-time and amazed to see the status of every running job without any further reloads.

Worked with development team and key stake holders to create plan for monitoring Azure Resources.

Utilized configuration management tool Chef and created Chef Cookbooks using recipes to automate system operations for better compliance.

Implemented Chef Recipes for Ansible deployments on build on internal data center servers to make it more secure.

Deployed and configured Elasticsearch, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with Prometheus and Azure Functions for Application Insights.

Used Azure Pipelines to drive all micro services builds out to the Docker Registry and then deployed to Kubernetes pods, and managed them using Kubernetes.

Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.

Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

Integrated Git into Azure Pipeline to automate the code check-out process.

Developed automation and deployment utilities using Power Shell and Python.

Implemented relational databases, NOSQL Database Management systems like MySQL, MSSQL, Cosmos DB.

Utilizing Jira as ticket tracking and workflow tool.

Successfully managing concurrent deliverables on time and with quality in fast-paced environment and under deadlines.

Environment: Microsoft Azure (Virtual Machines, Autoscale, Express Route, Traffic Manager, Application Insight, Load Balancer, Virtual Network, Blob Storage, Functions), Git, Azure Pipeline, Azure Artifacts, SonarQube, Chef, Ansible, Nginx, Terraform, Kubernetes, Power Shell, Docker, Docker Hub, Helm, Prometheus, ELK, SQL, NoSQL, Cosmos DB, MSSQL, and Jira.

Fiserv, Alpharetta, GA Sept 2018 – Aug 2019

DevOps/ AWS Cloud Engineer

Responsibilities:

Utilized AWS services like EC2, VPC, Auto scaling, S3, EBS, ELB, CF, LAMBDA, IAM, SNS, SQS, DynamoDB, Elastic Bean Stalk, and CloudWatch services to build highly available, scalable, and fault tolerance applications.

Performed Auto Scaling, Elastic Load Balance (ELB) using AMIs and utilized EBS to store persistent data and mitigate failure by using snapshots.

Implemented a CI/CD pipeline using Jenkins, Maven, Ansible, Chef, Docker, Kubernetes in Linux (RHEL/ Ubuntu) environment.

Assisted in managing IAM Policies, providing access to different AWS resources, design and refine the workflows used to grant access.

Created the AWS VPC network to spin off AWS EC2 Instances and configured the Security Groups and Elastic IPs accordingly.

Used Security Groups, Network ACLs, Internet Gateways and Route Tables to ensure a secure zone for organization in AWS cloud.

Created NAT gateways and instances to allow communication from the private instances to the internet through bastion hosts.

Created AWS Route 53 to route traffic between different regions.

Created AWS S3 buckets, performed folder management in each bucket, managed cloud trail logs and objects within each bucket.

Utilized AWS serverless function of Lambda using the triggers for light-weight functions.

Used Terraform for server provisioning and automating infrastructure.

Wrote Terraform configuration files for AWS infrastructure as a code using Terraform to build staging and production environments.

Built, changed and versioned infrastructure codes on AWS provider with Terraform.

Utilized Shell Scripting (Bash) and Python as well as third party APIs to automate processes.

Used Jenkins file and Git Webhooks to automate the build trigger process whenever any event occurred.

Created Master-Slave configuration using existing Linux machines and EC2 instances to implement multiple parallel builds through a build farm.

Used Maven and ANT as a build tool to validate, compile, test, install and deploy Java applications to package them into jar files.

Associated in implementing SonarQube code quality checks. Integrated it in Jenkins for code quality analysis and review.

Installed and configured Nexus repository manager for sharing artifacts between internal teams and created proxy Nexus repositories to speed up the build process.

Responsible for creating and managing Docker files for creating necessary base images used for automation of build and deployment environments.

Virtualized the AWS servers using the Docker, created the Docker files and version controlled them.

Utilized configuration management tools like Chef and Ansible for more secure, better compliance binding and to manage and update the servers.

Automated the tasks using Ansible playbooks, Shell Scripting and Python. Provisioned and patched servers extensively using Ansible.

Gained experience with setup, configuration, and maintenance of ELK stack (Elasticsearch, Logstash and Kibana).

Utilized Chef to deploy and configure Elasticsearch, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with Nagios, and AWS CloudWatch.

Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers.

Built and maintained Docker container clusters using by Kubernetes.

Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and deployment jobs.

Utilized Docker, Kubernetes, Terraform and leveraging multiple cloud platforms in AWS, both public and private, to deliver a ubiquitous and consistent global platform for continuously deploying applications.

Gained experience in integration, deployment, and automation of Apache Tomcat application server.

Worked on DynamoDB, NoSQL database using boto3, which included creation of tables, items and automating the tasks.

Integrated AWS DynamoDB using AWS Lambda to store the values the items and backup the DynamoDB streams as well as utilized Amazon Cognito to authenticate users’ access into the application.

Used Jira as ticket tracking and workflow tool.

Successfully managed concurrent deliverables on time and with quality in fast-paced environment and under deadlines.

Environment: Amazon Web Services (EC2, S3, RDS, Beanstalk, Elastic Load Balancer, CF, SQS, SNS, CloudWatch, Route53, Auto Scaling, DynamoDB, Cognito, Lambda, Internet Gateway, Network ACLs, Elastic Ips, Security Groups, IAM Policies) Chef, Ansible, Git, Docker, Kubernetes, Terraform, Python, Java, Shell Scripting, Jira, Jenkins, Maven, Nexus, Apache Tomcat, Nagios, and SonarQube.

Panasonic Avionics Co, Lake Forest, Il Mar 2017 – Aug 2018

DevOps Engineer Jr.

Responsibilities:

Leveraged AWS cloud services such as EC2, Auto-Scaling and VPC to build secure, highly scalable, and flexible systems that handled expected and unexpected load bursts.

Gained experience on implementing Continuous Integration pipelines using Git, Maven, Jenkins, and Puppet.

Launched Amazon EC2 Instances using Linux AMIs (Amazon Linux/ RHEL) and configuring launched instances with JBOSS application server for implementing Java applications. Installed updates and other applications on AWS EC2 through AWS Portal.

Gained knowledge on AWS VPC, Security Groups, Elastic IPs etc. to spin off AWS EC2 accordingly.

Utilized Security Groups, Network ACLs, Internet Gateways and Route Tables to ensure a secure zone for organization in AWS cloud. Created NAT gateways and instances to allow communication from the private instances to the internet through bastion hosts.

Used Elastic Load balancing to setup Auto Scaling policies to scale in or out the instances.

Acquired experience in creating AWS S3 Buckets, performed folder management in each bucket, managed cloud trail logs and objects within each bucket.

Installed, configured, administered Jenkins Continuous Integration tool on Linux Machines.

Assisted in configuring the Jenkins pipeline for build automation, testing and deployment.

Contributed to branching, tagging, merging, and release activities on Git as a version control tool.

Partnered in build automation using Maven as build tools in Jenkins to move from one environment to other environments.

Participated in automating weekly releases with Maven scripting for compiling Java code, unit testing and placing Builds into JFrog repository.

Installed and configured the JFrog repository manager for sharing the artifacts within the company.

Engaged in utilizing Puppet to automate configuration management and to manage web applications, config files, databases, commands, users mount points, and packages.

Used Shell Scripting (Bash) for automation purposes.

Environment: AWS Services (EC2, LB, Auto Scaling, VPC, Elastic IP, Security Groups, S3) Shell Script, Git, Jenkins, Puppet, JFrog, Amazon Linux, RHEL, Maven, and Apache Tomcat.

Disney, Orlando, FL Feb 2016 – Feb 2017

Build/Release Engineer

Responsibilities:

Worked with Software Development and Quality Engineer to refine and improve the development process.

Associated with other developers to create knowledge repository, setup, and maintenance of development environments.

Utilized SVN as a source code management tool and for version control tool.

Observed the migration of SVN to Git.

Gained working experience in Agile/ Scrum development.

Analyzed requirements for enhancements of build processes.

Experienced working with development teams providing deployment services from initial development through production deployment.

Gained experience in managing and improving the integrated build pipeline in Jenkins, including all development, testing, acceptance, and staging environment.

Partnered in build and deployment of Java/ J2EE using Maven to a WebSphere web application server in an Agile Continuous Integration environment and automation process.

Developed Shell Scripts for automation of the build and release processes.

Participated in unit testing using JUnit and code quality tests as a part of build process.

Developed build and deployment processes for Pre-production environments.

Participated in all daily stand-ups, sprint planning meetings, sprint review meetings, sprint retrospectives and backlog refinement meetings.

Developed, maintained, and distributed release notes for each scheduled release.

Got exposure to Version One for project management.

Environment: Agile/ Scrum, Java/ J2EE, Shell Scripting, GIT, SVN, Maven, Jenkins, Junit and Version One.

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