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Click here or scroll down to respond to this candidateSummary:Over 8+ years of experience in DevOps and Build and Release Engineering in Automating, Building, Deploying, and Releasing code from one environment to another environment.Created AWS instances deployed applications and delivered them to QA teams to initiate Performance testing.Experience in using AWS including EC2, Auto - Scaling in launching EC2 instances, Elastic Load Balancer, Elastic Beanstalk, S3, Glacier, Cloud Front, RDS, VPC, Route53, Cloud Watch, Cloud Formation, IAM, SNS.Provisioning EC2 instances and knowing all resource areas of EC2 like Instances, Dedicated hosts, volumes, Key pairs, Elastic IPs, Snapshots, Load Balancers, and Security Groups.Experience in Cloud technologies including Infrastructure as a Service, Platform as a Service, and Software as a Service provider (IaaS, PaaS, and SaaS).Dockerized applications by creating Docker images from Docker files.Performed automation tasks on various Docker components like Docker Hub, Docker Engine, Docker Machine, Compose, and Docker Registry.Worked on Continuous Integration CI/Continuous Delivery (CD) pipeline for Azure Cloud Services using CHEF.Experience with build tools Maven for writing pom.xml from scratch for new applications and improvising the existing build scripts on a need basis.Experience with web and application servers (Apache HTTP server, Tomcat).Built a web-based application that automatically generates a complex user-defined Elasticsearch.Implemented a CD pipeline involving Jenkins, Nexus, and Chef, Ansible to complete the Automation from commit to Deployment.Experience in working with configuration management tools like PUPPET, CHEF, and ANSIBLE.Working experience with Kubernetes, Mesos, and Docker Swarm.Experience in writing Chef cookbooks and recipes to automate middleware installations, domain creations, and deployment activities.Experience in handling Hardware issues, Migration, and Data Center Operations.Worked on Performance Monitoring, resolving network issues, and tuning the system using tools.Good knowledge and hands-on experience in some monitoring tools like, and Nagios.Experience in the design and implementation of a Hybrid Test Automation Framework built using Selenium RC, Maven, and Apache POI technologies under the Java platform.Automated setting up server infrastructure for the DevOps services, using Ansible, shell scripts.Worked with Bug tracking tools like JIRA.Good Understanding of Azure Internal and External Load Balancers and Networking concepts.Maintained and managed cloud & and test environments and automation for QA, Product Management, and Product Support.Assist in integrating the Systems and Development teams into ongoing evolution and improvement, through tighter integration and collaboration.TECHNICAL SKILLSVersioning Tools: CVS, GitHub, GitLab, SVN, GIT, and Git Stash.Build Tools: Maven, Nexus, ANT.Scripting Languages: Python, Ruby, JavaScript, Perl, Shell, and PHP.Cloud Environment: AWS, Microsoft Azure.Containerization Tools: Docker, Kubernetes.Analytics & Monitoring Tools: Nagios, Logstash, Splunk.Operating Systems: UNIX/LINUX, Mac-OS, Window.Bug Tracking Tools: JIRA, Bugzilla.CI/CM Tools: Jenkins, Bamboo, TeamCity, Ansible, Puppet, and Chef.App/Web servers: Apache Tomcat 7.x, JBoss 7.x, WebSphere and WebLogic.Databases- Oracle 11g, SQL Server, MySQL, DB2, RDBMS, DYNAMODB, NOSQL, Mango DB.:Operating Systems: Mac OSX, Linux, UNIX, Ubuntu, Windows 2010, HP-UX 10. x, 11.x, Sun Solaris 8, 9, 10, AIX 5.1, 5.2, 5.3, Red Hat Linux RHEL 3. x, 4. x, 5. x, 6. x Unix and Windows 2003/2008.PROFESSIONAL EXPERIENCEClient: Comcast, NJRole: DevOps EngineerDuration: June 2022 Till DateResponsibilities:Expertise in Infrastructure (Cloud), Continuous Integration, configuration management tools Ansible, and containerization platforms Docker and Kubernetes.Built Azure environments by deploying Azure IaaS Virtual machines (VMs) and Cloud services (PaaS)Implementing AWS cloud, Containerization of the application using Elastic Kubernetes service EKS, CICD for application lifecycle using AWS Developer tools (Code Deploy, Code Pipeline, Code Commit) Monitoring using Splunk cloud, Prometheus, and Grafana.Troubleshooting the Elastic Kubernetes Service EKS clusters on joining worker nodes to cluster, IAM authenticator permissions, access to Kubernetes, node group errors, and CNI log collection.Experience working with Replicator a native ServiceNow application to e-bond two service now instances.Implemented HA deployment models with Azure Classic and Azure Resource Manager.Design and Develop ETL Processes in AWS Glue to migrate Campaign data from external sources like S3, ORC/Parquet/Text Files into AWS Redshift. Utilized Python Libraries like Boto3 and NumPy for AWS.Performed CRUD operations on a web server using Service Now outbound Rest functionality.Great experience with Amazon Web services (AWS) and implemented solutions using EC2, S3, Anthena, AWS Connect, and RDS in cloud formation JSON templates, EBS, Elastic Load Balancer, and Auto Scaling Groups.Troubleshooted and resolved bugs in .NET applications to ensure optimal development environment.Developed and managed cloud VMs with AWS EC2 command line clients and management console. Created AWS Route53 to route traffic between different regions and alarms and notifications for EC2 instances using Cloud Watch.Provided architecture guidance for migrating monolithic SaaS products to a microservice platform using Kubernetes cluster and Istio as the platformExperience in writing the HTTP RESTful Web services and SOAP API's in Golang.Experience in working with snowflakes, EMR, LightSail, Kinesis, AWS Data Pipeline, Glue, and Athena in handling large data sets.Worked on AWS Cloud Watch, Cloud Formation, Cloud Trail Services, and Cloud Front to set up and manage the cached content delivery.Implemented Hadoop clusters for processing big data pipelines using Amazon EMR and Cloudera whereas it depended on Apache Spark for fast processing and the integration of APIs. Confidentially the end, we managed the above resources using Apache Mesos.Built a new CI pipeline, Testing, and deployment automation with Docker, Jenkins, and Ansible.Used Elastic Log search, Log stash, and Kibana (ELK stack) for centralized logging and analytics in the continuous delivery pipeline to store logs and metrics into an S3 bucket using lambda functions.Wrote ANSIBLE Playbooks with Python, SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python. Run Ansible Scripts to provision Dev servers.Wrote Python scripts to parse XML documents and load the data into the database. Developed and designed an API (RESTful Web Services). Responsible for user validations on the client side as well as the server side.Development of Python APIs to dump the array structures in the Processor at the failure point for debugging. Handling Web applications - UI security, logging, backend services.Developed spark applications in Python (PySpark) on a distributed environment to load many CSV files with different schema into Hive ORC tables.Scripted Ansible Playbook to manage configurations of AWS Nodes and test playbooks on AWS instances.Managed Microservices using Docker to quickly spin up into reproducible dev environment and scaling them and orchestration using Amazon EC2 container service (ECS) and deploy it to an Amazon EC2 instances.Good working experience in Azurein Logic apps, Service Bus, Document DB, and SQL Database.Worked on Docker hub, created images and handled images for middleware installation and domain configuration.Created Docker compose file using YAML for deploying Mean stack (MongoDB, Express, AngularJS, Node JS) applications onto Docker containers before deploying them into a production environment.Managing VMware vSphere, which is the underlying Hypervisor layer for VCD & NSX.Established infrastructure and service monitoring using Prometheus and Grafana.Create external tables with partitions using Hive, AWS Athena, and RedshiftUsed Terraform for managing the infrastructure through the terminal sessions and executing scripts in creating alarms and notifications for EC2 instances using AWS Cloud Watch. Wrote Ansible Playbooks for various applications and deployed them in AWS using Terraform.Using Docker container clusters to clone the production servers and implementing Kubernetes orchestration for clones production servers.Used AWS Redshift, S3, Spectrum, and Athena services to query large amounts of data stored on S3 to create a Virtual Data Lake without having to go through the ETL process.Worked on PowerShell active directory and user automation. Worked on custom image creation using Packer build, Docker, provisioning images using chef-solo provision and GitLab pipeline configurationAbility to create scripts using Azure PowerShell during for automation and build process.Developed new RESTful API services that work as a middleware between our application and third-party APIs that we will use using Golang.Client: Bank Of America, IllinoisRole: Azure DevOps EngineerDuration: Sept 2020 May 2022Responsibilities:Supporting engineering plans and schedules by providing CM/Release Engineering services to build, deploy, develop scripts, oversee branch and merge strategies, and build automated tools as necessary to offer services to the engineering team.Involved in migrating SQL Server databases to SQL Azure Database using SQL Azure Migration Wizard and used Python API to upload agent logs into Azure blob storage.Converted and automated builds using Maven and Ant. Scheduled automated nightly builds using Jenkins.Worked on Continuous Integration CI/CD pipeline for Azure Cloud Services using CHEF.Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer and AMIs, and Auto scaling to design cost-effective, fault-tolerant, and highly available systems.Launched and configured The Amazon EC2 (AWS) Cloud Servers using AMIs (Linux/Ubuntu) and configuring the servers for specified applications.Configured RDS instances using Cloud formations and Terraform.Automated AWS components like EC2 instances, Security groups, ELB, RDS, Lambda, and IAM through AWS cloud Formation templates.Written Chef Cookbook, recipes to automate installation of Middleware Infrastructure like Apache tomcat, JDK and configuration tasks for new environments.Migrated workloads from Jenkins and Bitbucket to Gitlab enterprise.Implemented the architecture for a container security solution, worked with multiple solutions (Twistlock, Aqua, and Sysdig), and sorted the best opt for Confidential at the organization level.Created and maintained container image scanning templates (Clair and Aqua Trivy) in GitLab.Migrating Services from On-premise to Azure Cloud Environments. Collaborate with development and QA teams to maintain high-quality deploymentPackaged multiple applications into docker images to work seamlessly with application teams.Environment: Java/J2ee, Eclipse, Azure, Terraform, Chef, Puppet, AWS (Amazon Web Services) Ant, Maven, PowerShell Scripting, Groovy, Linux, SVN, Gitlab, Python, Ruby, Nexus, Sonar, Docker, Check style, Jenkins, bitbucket, CentOS, PERL, BASH, Solaris, UNIX.Client: Zones INC., IllinoisRole: AWS DevOps EngineerDuration: April 2017 August 2020Responsibilities:Used Cloud Front to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers.Utilized AWS CLI to automate backups of ephemeral data stores to S3 buckets, and EBS and create nightly AMIs for mission-critical production servers as backups.Responsible for maintaining 4-5 Different Testing/QA Environments and erection of the PROD Environment in AWS.Rehydration of AWS servers is performed periodically to upgrade the application's infrastructure to have the latest OS and configuration.Experienced in Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups.Configured AWS IAM and Security Group in Public and Private Subnets in VPC.Deploy and monitor scalable infrastructure on Amazon Web Services ( AWS )Created AWS Route53 to route traffic between different regions.Designing and implementing CI (Continuous Integration) system: configuring Jenkins servers, and Jenkins nodes, creating required scripts (Perl & Python), and creating/configuring VMs (Windows/Linux).Migrating and maintaining build and test environments into the Cloud Infrastructure.Managed Git repository and maintained build-related scripts developed in shell for Maven builds.Used ANT and MAVEN as build tools on Java projects to develop build artifacts on the source code.Implemented a production-ready, load-balanced, highly available, fault-tolerant Kubernetes infrastructure.Created Docker images using a Docker file, worked on Docker container snapshots, removing images, and managing Docker volumes.Created a private cloud using Kubernetes that supports DEV, TEST, and PROD environments.Used BOTO and Fabric for launching and deploying instances in AWS.Used Cloud watch logs to move application logs to S3 and create alarms based on a few exceptions raised by applications.Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files, and Managed releases of Helm packages.Managed network security using a Load balancer, Auto scaling, Security groups, and NACLS.Built Cloud infrastructure for Multi-Tier Applications with Failover and High Availability Mode.Supported current migration of Data Center to Amazon Cloud.Documented system configurations, Instance, OS, and AMI build practices, backup procedures, and troubleshooting guides, and kept infrastructure and architecture drawings current with changes.Provided oversight and guidance for the architecture, development of best practices for application hosting, and infrastructure deployment for each application.Developed Cloud Formation scripts to automate EC2 instancesUtilized Configuration Management Tool Chef & and created Chef Cookbooks using recipes to automate system operations.Experience with analysis of logs and performing root cause analysis for various issues coming up dailyautomated local dev environment using Vagrant/chef-solo, Ansible.Solid ability to create automation with Chef, Puppet, Ansible, or a shell and Node JS, Angular JS.Environment: Java, Linux, Maven, Nexus, Chef, Puppet, Jenkins, Docker, Kubernetes, Nagios, GIT, AWS EC-2, Route 53, S3, VPC, EMR, SQS, Auto scaling, ELB, Shell Scripts, Unix/ Linux environment.Client: CDW, IllinoisRole: Linux AdministratorDuration: January 2016- March 2017Responsibilities:Installation,Configuration & Upgrade of Linux, Solaris, Linux operating systems.Handled day-to-day operation of LINUX servers like NFS issues, send mail setup and crontab related issues, File system creation and resizing, User management and performance monitoring.Performed server virtualization using oracle VM software.Working closely with concerned operating system and hardware vendors for resolving hardware and software related issues.Creating, deleting and managing user accounts and user quotas on the network.Responsible for enabling and revoking privileges from the users.Writing Shell scripts for automation of job, system monitoring and error reporting.Installing patches and packages.Creating, monitoring and managing file systems and checking error messages in log files.Server hardening, checking I/O, memory performance, setting jobs using crontab.Experienced on File system issues and Disk management.Providing technical support to the concerned clients to resolve various problems in timely manner as per SLA.Experience in System Administration, System Builds, Server builds, Installs, Upgrades, Patches, Migration, Trouble shooting, Security, Backup, Disaster Recovery, Performance Monitoring and Fine-tuning on LINUX Systems.EducationBachelors In Computer Science at Jawaharlal Nehru Technological University, India. 2014Nazish MDevOps EngineerMail: EMAIL AVAILABLEMobile: PHONE NUMBER AVAILABLELinkedIn: https://LINKEDIN LINK AVAILABLE |
