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Sr. Cloud Engineer Resume

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Cincinnati, OH

SUMMARY

  • Around 7 years of extensive experience in IT industry compromising of Development, Systems Administration and Software Configuration Management (SCM).
  • Experienced in working on DevOps/Agile operations process and tools area (Cloud Services, Code review, Build & Release management, Automation, Containerization, Incident and Change Management and Linux administration).
  • Proficient in AWS Cloud platform and its services such as EC2, EBS, AMI, VPC, SNS, RDS, Cloud Watch, Cloud Trail, Cloud Formation, Lambda, Beanstalk, Auto scaling, Cloud Front, IAM, S3 and good knowledge on Amazon kinesis firehose.
  • Provisioned the highly available EC2 Instances using Terraform and Cloud formation.
  • Designed AWS Cloud Formation templates to create customized Virtual Private Clouds, subnets, and NAT to ensure successful deployment of web applications.
  • Expertise in Azure Development worked on Azure web application, Azure Blob Storage, App Services, Azure SQL Database, Azure Virtual Machines, Azure AD, Azure search, Azure DNS, Azure VPN Gateway, and Notification Hub.
  • Experience Azure Platform Development, Deployment Concepts, hosted Cloud services, platform service and close interface with Windows Azure Multi - factor Authentications.
  • Experience using Jenkins to deploy code to Google Cloud, create new namespaces, creating Docker images and pushing them tocontainer registryofGoogle Cloud.
  • Used Google Cloud Platform (GCP) services like Compute Engine, Cloud Functions, Cloud DNS, Cloud Storage and SaaS, PaaS and IaaS concepts of Cloud computing architecture and implementation using GCP.
  • Worked on google cloud platform (GCP) services like Compute engine, cloud load balancing, cloud storage, stack driver monitoring, cloud deployment manager and Cloud Bigtable.
  • Hands-on experience on OpenStack for continuous automated deployment.
  • Configuring and deploying instances on GCP environments and Data centers, also familiar with services like App engine, GKE, cloud run, cloud balancing, cloud storage, cloud SQL, cloud DNS.
  • Experience in branching, merging, tagging, and maintaining the version across the environments using version control tools such as GIT, SVN, BIT Bucket, Beanstalk and GitHub.
  • Extensively worked with build tools like MAVEN, ANT and MS build for the building of deployable artifacts (war, jar & ear) from source code.
  • Experience in managing repository managers like NEXUS/JFrog for the MAVEN builds.
  • Experience in integrating Jenkins with various tools like Maven, Git, SonarQube, Nexus and implementing CI/CD automation for creating Jenkins pipelines programmatically architecting Jenkins Clusters and troubleshooting the build issues during build process.
  • Extensively worked on installing, configuring, and maintaining Jenkins and Bamboo for the purpose of all build and deployments that are implementing CI/CD for database using Jenkins in Groovy.
  • Extensively worked with scheduling, deploying, and managing container replicas onto a node cluster using Kubernetes and worked with building Kubernetes run time environment of the CI/CD system to build, test and deploy.
  • Experience in using Kubernetes to create Pods, ConfigMaps and deployments into cluster.
  • Expertise in using Docker including Docker Hub, Docker Engine, Docker Images and Docker Registry and used containerization to make our applications platform to be consistent when they are moved into different environments.
  • Experience in creating Docker Containers leveraging existing Linux Containers and AMI’s in addition to creating Docker Containers from scratch using Docker file.
  • Experience in Installing Chef Server Enterprise on premise /workstation/bootstrapped the nodes using knife and Automated by testing Chef Recipes with Test-kitchen.
  • Experience in developing Chef Cookbooks, Recipes, Roles and Data Bags to automate the services related to deployment on multiple environments.
  • Expertise in Ansible Playbook, YAML for Maintaining Roles, Inventory Files and Groups Variables.
  • Responsible for creating Puppet modules and manifest files from scratch and experience in editing existing puppet manifests and automated manual installation processes using puppet.
  • Administration of both Windows and Linux Machines - Providing ongoing management of Windows and Linux services (i.e.,) Resource Management, Installations, Imaging, performance-tuning and Tier-3 support for Troubleshooting servers.
  • Experienced in administrating, deploying, managing, monitoring and troubleshooting almost all flavors of Linux like UBUNTU, CentOS and Red Hat servers.
  • Used Atlassian tools JIRA, Confluence, Bitbucket, Bamboo for team collaboration, source code management and continuous integration and deployment practices.
  • Expert in deploying the developed code in Web Sphere, Web Logic, Tomcat, JBoss.
  • Experience working with log monitoring tools syslog and ELK Stack (Elastic search, Logstash, Kibana), also used Cloud Watch, Nagios and Splunk for monitoring.
  • Exposure to development and modification of SQL queries and stored procedures to meet business requirements and achieve desired performance.
  • Experienced in building REST APIs on SQL, Oracle and NoSQL databases like MySQL, MongoDB and EMR.
  • Broad experience in Bash, Python scripting on Linux. Strong knowledge on Linux internals.
  • Experience with multiple integration techniques based on service-oriented architecture such as SOA, Web services and other communication interfaces like HTTP, HTTPS, and TCP.

TECHNICAL SKILLS

Cloud Environments: Microsoft Azure, Amazon Web Services, Open Stack

Configuration Management: Ansible, Chef, Puppet

Build Tools: ANT, Maven, Gradle

CI/CD Tools: Jenkins, Bamboo, Spinnaker, Hudson, XL deploy, XL release.

Monitoring Tools: Application Insights, Kibana (ELK), Cloud watch, Nagios, Splunk, AzureLog Analytics (OMS), Grafana.

Container Tools: Docker, Kubernetes

Scripting/programming Languages: Python, Shell (PowerShell/Bash), Ruby, YAML, JSON, Perl, Groovy, JavaScript, C, PHP, Java/ J2EE, .Net, Spring Co. re, Spring MVC, REST Web services

Version Control Tools: GIT, SVN. Subversion, Bit Bucket, Git Lab

Operating Systems: Windows, UNIX, RHEL, CentOS, Ubuntu, & SOLARIS

Databases: SQL Server, SQL, MYSQL, Oracle, NoSQL, MongoDB, Dynamo DB, Cassandra

Networking: DNS, DHCP, SMTP, HTTP, SNMP

Testing/Ticketing Tools: Jira, Selenium

PROFESSIONAL EXPERIENCE

Confidential, Cincinnati, OH

Sr. Cloud Engineer

Responsibilities:

  • Hands on experience in AWS broad range of services such as provisioning EC2, AMI, VPC, ELB, Auto-Scaling, Security Groups, IAM, EBS, AMI, S3, SNS, SQS, Route53, ELB, CloudWatch, Cloud Formation, Cloud front, Cloud trial, RDS, EMR, Redshift, AWSOps Work.
  • Created and Configured Red Hat Linux Environment and Solaris Virtual Machines in AWS using EC2, Elastic IP, VPC, Subnets, Route Tables, NAT Gateway.
  • Involved in AWS EC2/VPC/S3/SQS/SNS based automation through Terraform, Ansible, Python, Bash Scripts. Adopted new features as they were released by Amazon, including ELB & EBS.
  • Deployed AWS Lambda code from Amazon S3 buckets. Created a Lambda Deployment function and configured it to receive events from your S3 bucket.
  • Created Python Scripts to Automate AWS services, ELB, CloudFront Distribution, ECS, database, EC2 and database security groups, S3 bucket and application configuration, created stacks with single servers or joins web servers and loaded the big volume source files from AWS S3 to redshift with Talend Big Data tool.
  • Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications. Used Cloud Front to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers. Managed and analyzed the petabyte-scalable data using AWS Redshift cluster.
  • Written reusable Templates for provisioning AWS infrastructure as a code using Terraform to build staging and production environments.
  • Development of Amazon Virtual Private Cloud in the scalable environment which provides advanced security features such as security groups and network access control lists to enable inbound and outbound filtering at the instance level and subnet level.
  • Deployed LAMP based applications in AWS environment, including provisioning MYSQL -RDS and establish connectivity between EC2 instance and MySQL-RDS via security groups. And processed data streams in AWS kinesis using AWS Lambda.
  • Managed servers on the Microsoft AzurePlatform AzureVirtual Machines instances using Ansible Configuration Management. Created Ansible manifests, profiles, and roles modules to automate system operations.
  • Worked on User admin groups, maintaining account and monitoring system performance using AWS CloudWatch and Nagios. Migrated applications from VM ware to AWS using snowball and VM import/export.
  • Created and consumed ASP.Net Web services/WCF.
  • Manages the back-end connection to Microsoft SQL as the data source using ADO.Net and write SQL queries, stored procedures, and triggers to manage data.
  • Creating and maintaining containerized micro services and configuring/maintaining private container registry on Microsoft Azurefor Hosting Images and using Windows Active Directory.
  • Used Microsoft Azure for Development, Test and UAT environments for all customers regardless of final Production platform (SaaS Cloud, Private secure cloud) to speed up development/ deployment process and work within CI/CD framework (Team City, Octopus Deploy).
  • Deployed AzureIaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets.
  • Was also involved in building the Web API to perform all the CRUD operations. And used new AzureAPI management for Security, throttling, analytics, monitoring, and alerts.
  • Designed Network SecurityGroups (NSGs) to control inbound and outbound access to network interfaces (NICs), VMs and subnets.
  • Designed, configured, and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (Including Computer, Web & Mobile, Blobs, ADF, Resource Groups, Azure SQL DW, Cloud Services, and ARM, focusing on high-availability, Disaster Recovery, fault tolerance, and auto-scaling).
  • Good understanding of Pivotal cloud foundry (PCF) Architecture (Diego Architecture), PCF components and their functionalities Experienced in using Pivotal Cloud Foundry (PCF) CLI for deploying applications and other CF management activities.
  • Containers created by PCF are managed by installing Pivotal Cloud Foundry on EC2. Used Docker to virtualize deployment containers and push the code to the EC2 cloud using PCF. Used Spring Cloud Boot for Microservices development.
  • Planning and coordinating the execution of Implementation along with Technical/Business validations post every Maintenance/Major release in ServiceNow.
  • Setup and Implementing Continuous Integration and Continuous Delivery (CI & CD) Process stack using AWS, Cloud Foundry, GITHUB/GIT, Jenkins, SonarQube, Nexus, Docker, and Ansible.
  • Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and deployed to Kubernetes.
  • Created a private cloud using Kubernetes that supports DEV, TEST, and PROD environments.
  • Written scripts to containerize using Dockers and orchestrate it using Kubernetes & Configured the services using modern DevOps tools, like Ansible.
  • Worked on Docker hub, creating Docker images and handled multiple containers as a cluster with Docker Swarm, Weave and Compose for various applications written in NodeJS.
  • Worked with Red Hat OpenShift Container Platform for Docker and Kubernetes. Used Kubernetes to manage containerized applications using its ConfigMaps, selector, Services, and deployed application containers as Pods.
  • Customized Ansible modules for finding facts about AWS CloudWatch alarms and taking actions to pause/Unpause those alarms during deployments.
  • Improved Ansible with use of EC2 for accessibility, run deck as a job scheduler, Jump Cloud as directory service, Docker for containerization, and Nginx to provide container security.
  • Written Ansible playbooks which are the entry point for Ansible provisioning, where the automation is defined through tasks using YAML format and run Ansible Scripts to provision Dev servers.
  • Created log sink in GCP to sync application logs to Big Query and helped looker team in creating Dashboard on metrics.
  • Helped data Analysis team in figuring out connecting to GCP and querying for relevant data.
  • Performed load tests using JMeter and configured GCP instances based on the load test results for high availability.
  • Created alerts for API health monitoring using GCP’s Stack driver monitoring and notifier.
  • Proficient in using Ansible Tower, which provides an easy-to-use dashboard and role-based access control, so that it is easier to allow individual teams access to use Ansible for their deployments.
  • Self-service cloud tooling based on immutable infrastructure and service discovery using Hashi corp tools (Packer, Terraform, Consul, Nomad, and Vault) and Orchestration frameworks (Ansible, Fabric).
  • Developed PowerShell scripts to automate the project creation, setting permissions for users, groups in TFS.
  • Planning and design of ELK (Elastic Search, Logstash and Kibana) and worked on search API server and client for querying Elastic Search.
  • Monitored servers, switches, and ports using Nagios Monitoring tool and assisted internal users of Splunk in designing and maintaining production quality dashboards.

Environment: and Tools: AWS (EC2/AMIs/VPC/S3/IAM/S3,EBScloud trails, CloudWatch, EMR, Cloud Formation, SQS, SNS, Snowball, Lambda, Kinesis, Redshift, Route53,RDS,MYSQL), AWS Direct connect, VM Export/Import, AZURE, Pivotal Cloud Foundry (PCF), OpenStack, Node.js, Ansible, ELK (Elasticsearch, Logstash, Kibana), Nginx, Nexus, Terraform, Docker, Docker Swarm, Kubernetes, Linux, Jenkins, SonarQube, Git, GitHub, Hashi Corp tools, Python, Nagios, Splunk, TFS, JIRA, PowerShell, ServiceNow, OpenShift, SCOM, vRealize

Confidential, Cincinnati, OH

Sr. Cloud Engineer

Responsibilities:

  • Manage all aspects of the end to end Build/Release/Deployment process for multi Project.
  • Was a part of Disaster Recovery exercise and actively involved in creating replica in another AWS AZ’s.
  • Configured AWS IAM and Security Group in Public and Private Subnets in VPC.
  • Created AWS Route53 to route traffic between different regions.
  • Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Implemented automated local user provisioning instances created in AWS cloud.
  • Implemented Terraform modules for deployment of various applications across multiple cloud providers and managing infrastructure.
  • I have involved in Complete Implementation of AWS EKS/ECR etc to Manage our Kubernetes Environments. knowledge on Installing Jenkins and configuring various plugins like MVN plugin, SMTP plugin, Slack Plugin, Kubernetes plugin etc.
  • I have knowledge on Creating Pods, Deployments, Replica sets, Pod Autoscaling, Creating Services (NodePort/CLusterIP/Load Balancer), Kubernetes cronjob, job etc we can do.
  • Apart from this i have good knowledge working with Yaml as well.
  • I have interacted with Various teams in Creating the Docker Images and Deploying the containers on the GKE (Google Kubernetes Engine) used Kubernetes creating services, Deployments, Replica sets, cronjobs, job pods, init containers, config maps, secrets, policies, helm charts as well.
  • Configuring and Networking of Virtual Private Cloud (VPC) Written CloudFormation templates and deployed AWS resources using it.
  • Strong experience utilizing Jenkins for enterprise scale infrastructure configuration and application deployments - checking out code from SVN/Git and use ant/maven to build war/jar artifacts
  • Used MySQL, DynamoDB and ElastiCache to perform basic database administration. Build out server automation with Continuous Integration - Continuous Deployment tools like Jenkins/Maven for deployment and build management system
  • Developed crypto rest services using NodeJS and integrated services with HSM(Hardware Security Module).
  • Streamlined installation of OpenShift on partner cloud infrastructure such as AWS
  • Used JAVA SE, Java/J2EE and Groovy on Grails MVC, JSF web framework and React.js for rapid application development.
  • Utilized Configuration Management Tool Chef, Ansible and created Chef Cookbooks, Ansible Playbooks to automate system operations.
  • Written Chef Cookbooks for various DB configurations to modularize and optimize product configuration, converting production support scripts to Chef Recipes and AWS server provisioning using Chef Recipes
  • Installed and configured configuration tool such as Chef Server / workstation and nodes via CLI tools to AWS nodes.
  • Developed Python Modules for Ansible Customizations.
  • Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT and Chef.
  • Deployed code on WebLogic and Tomcat servers for Production, QA, and Development environments.
  • UsedJenkins pipelinesto drive all microservices builds out to theDocker registryand then deployed toKubernetes, CreatedPodsand managed usingKubernetes
  • Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection (VPC).
  • Deployed applications on AWS by using Elastic Beanstalk.
  • Manage and operate the Big Data environment and Web applications.
  • Configured plugins for the integration tools to the version control tools.
  • Used ANT and MAVEN as a build tools on java projects for the development of build artifacts on the source code.

Environment: AWS, Chef, Ansible, Puppet, Jenkins, VPC, Route53, EBS, SQL, ELB, Cloud watch, Cloud Formation, Docker, Jira, AWS CLI, AWS Auto Scaling, Unix/Linux, Python, Ruby, Shell scripting, Git.

Confidential, Irving, TX

Sr. DevOps Engineer

Responsibilities:

  • Implemented Azure webapps and migrated on-premises servers to Azure cloud using various Azure cloud services.
  • Worked on configuring Azure web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure Traffic manager, Azure Network Watcher, Azure storage, Azure Active Directory, and Azure Resource Manager (ARM).
  • Used Azure Media and Content delivery, Azure Networking, Azure Hybrid integration, Azure Identity, and Access Management, Azure Data Factory and Storage, Azure compute services, and Azure Web apps.
  • Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal.
  • Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.
  • Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets managed and optimize the CI (Continuous Integration) tools like Azure DevOps.
  • Automated build and release process (CI/CD) using Azure DevOps services.
  • Working on Azure DevOps to create test plans, to report bugs & to track defects.
  • Creating, validating, and reviewing solutions for data center migration to Azure cloud environment.
  • Migrated infrastructure and application from on premise to Microsoft Azure.
  • Configured Azure Multi-Factor Authentication (MFA) as a part of Azure AD Premium to securely authenticate users and worked on creating custom Azure templates for quick deployments and advanced PowerShell scripting.
  • Worked on designing, maintaining, and deploying various applications in Amazon EKS (Elastic Kubernetes Service) using various AWS cloud services EC2, Route 53, S3, VPC, Auto scaling and Elastic Load Balancing.
  • Responsible for managing Amazon instances by taking AMIs and performing administration and monitoring of Amazon instances using Amazon Cloud Watch.
  • Worked on automating CI and CD pipeline with AWS Code Pipeline, Jenkins and AWS Code Deploy.
  • Used Pivotal Cloud Foundry (PCF) CLI for deploying applications and other CF management activities.
  • Used Docker to virtualize deployment containers and push the code to the EC2 cloud using PCF.
  • Planning and coordinating the execution of Implementation along with Technical/Business validations post every Maintenance/Major release in ServiceNow.
  • Created development and test environments for different micro services by provisioning Kubernetes clusters on AWS using Docker, Ansible, and Terraform.
  • Involved in authoring Terraform scripts to automate and deploy AWS cloud services.
  • Developed Terraform templates that can spin up infrastructure for multi-tier application and provisioned boot strapped software on Cloud with terraform.
  • In working with Ansible, created play books to manage web applications, Environment Configuration files, users, packages and manage and configuration of multiple servers usingAnsible.
  • Used Ansible to document all infrastructures and application dependencies into version control withGITto store the code and integrate it to Ansible towerto deploy the playbook.
  • Proficient in using Ansible Tower, which provides an easy-to-use dashboard and role-based access control, so that it is easier to allow individual teams access to use Ansible for their deployments.
  • Integrated Jenkins CI/CD pipeline with various DevOps tools such as GIT, Nexus, SonarQube, Ansible.
  • Worked on container-based deployments using Docker, working with Docker images, Docker Hub, Docker Compose, Docker-registries and Kubernetes.
  • Used Docker for setting Azure Container Registry with Docker and Docker-compose and actively involved in deployments on Docker using Kubernetes.
  • Designing and implementing container orchestration systems with Docker Swarm and Kubernetes.
  • Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from dev through production, easing the code development and deployment pipeline by implementing Docker containerization with multiple name space.
  • Used Azure Kubernetes Service (AKS) to deploy the Kubernetes cluster in Azure.
  • Created Pods with Kubernetes through YAML scripts and Deploy to Docker containers in various nodes in the environments.
  • Used Kubernetes to deployed Docker containers into Pod Clusters on multiple Nodes in QA, Test and Production Environments.
  • Created various build and deployment scenarios such as jobs to build from various branches, deploy tasks to development server or QA server or Staging/Production server using Jenkins.
  • Used ANT and MAVEN as build tools on java projects for the development of build artifacts on the source code.
  • Enabling users to manage software development, deployments, and infrastructure with tools such as Jenkins and GitHub.
  • Coordinate and assist developers with establishing and applying appropriate branching, labeling/naming conventions using GitLab and analyzed and resolved conflicts related to merging of source code for Git.
  • Managed Virtualization Environment usingVMWare ESX 6.7,VMWare vSphere 6.7, Virtual Center and P2V.
  • Worked closely with development team to create automated scripts to build MSI packages in .net core 3.1 & 2.2.
  • Worked with the development team to deploy new libraries with Micro Services Architecture using REST APIs & Spring Boot.
  • Contributed Full stack development in native Golang backend, native JavaScript, and Bootstrap Framework for web application between advisers and their clients.
  • Devised solutions to expedite the procurement of required data for unique website architectures comprised of JavaScript.
  • Used Spring Cloud Boot for Microservices development.
  • Build Apache Kafka Multi node Cluster and used Kafka Manager to monitor multiple Clusters.
  • Installed, Configured & Managed Monitoring Tools such as Splunk, Nagios for Resource Monitoring/Network Monitoring/Log Trace Monitoring and Cloud Watch and ELK to monitor OS metrics, server health checks, file system usage etc.
  • Monitored servers, switches, and ports using Nagios Monitoring tool and assisted internal users of Splunk in designing and maintaining production quality dashboards.
  • Designed and Deployed custom JIRA Exporter for Prometheus to generate appropriate data points.
  • Provided 24X7 support to production servers also to offshore team and systems and was involved in creating documentation.

Environment: and Tools: AWS, AWS Direct connect, VM Export/Import, AZURE, Pivotal Cloud Foundry (PCF), OpenStack, Node.js, Ansible, ELK (Elasticsearch, Log Stash, Kibana), Nginx, Nexus, Jenkins, Azure DevOps, SonarQube, Git, GitLab, Maven, Python, Terraform, Docker, Docker Swarm, Kubernetes, Linux, Nagios, Splunk, JIRA, PowerShell, OpenShift, ServiceNow.

Confidential

Sr. DevOps Engineer

Responsibilities:

  • Part of an agile, dynamic team of technical experts responsible for the delivery of cloud-based services and solutions for the enterprise. Expertise in cloud-based experience in the build, deployment, and operation of software-defined infrastructure and services for business initiatives.
  • Extensively worked on AWS solutions using EC2, S3, RDS, EBS, ELB, EFS and Auto scaling groups, Optimized volumes and EC2 instances.
  • Created Python Scripts to Automate AWS services which include Lambda, web servers, ELB, Cloud Front Distribution, database, EC2 and database security groups, S3 bucket and application configuration, this Script creates stacks, single servers or joins web servers to stacks.
  • Managed highly available and fault tolerant systems in AWS, through various API's, console operations and CLI. Managed AWSinfrastructure as code using Terraform.
  • Developed ETL pipelines to ingest data to AWS RDS for data processing, data analysis using AWS Glue and AWS Athena, and data warehousing and visualization using AWS Redshift and AWS QuickSight
  • Created IAM policies for delegated administration within AWS and Configure IAM Users/Roles/Policies to grant fine-grained access to AWS resources to users.
  • Designed and developed AWS Cloud Formation templates to create customVPC, Subnets, NAT to ensure deployment of web applications.
  • Worked on Blue/green deployment strategy by creating new applications which are identical to the existing production environment using Cloud Formation templates & Route53 weighted record sets to redirect traffic from the old environment to the new environment via DNS.
  • Writing Bash and Python Scripts, to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks.
  • Deployed full managed web services using Elastic Bean Stalks and SNS and CloudWatch and configured path-based routing using ALB for HTTP/HTTPS traffic and NLB for TCP/IP traffic.
  • Used Google Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts.
  • Developed different environments of different applications on Google cloud by provisioning Kubernetes clusters on GCE instances and GKE using Docker, Ruby/Bash, Python.
  • Created RESTful services for various web-services involving both JSON and XML.
  • Performed installing, configuring, supporting, and troubleshooting Unix/Linux Networking services and protocols like NIS, NIS+, OSPF, LDAP, DNS, NFS, DHCP, NAS, FTP, SSH and SAMBA.
  • Configured and managing security groups and VPC in Automated way. Also developed various automated provisioning pipelines using Ansible for various AWS resources.
  • Designing and implementing fully automated server build, management, monitoring, and deployment solutions spanning multiple platforms, tools and technologies including Jenkins Nodes/Agents, SSH, Amazon EC2 and packaging, deployment, and testing.
  • Automated CI/CD with Jenkins, build-pipeline-plugin, maven, GIT Set up Jenkins master/slave to distribute builds on salve nodes.Integrating with Git and Jira to trigger builds using Web Hooks and Slave Machines.
  • Instrumental in developing Jenkins build pipeline jobs using groovy for Node.js, .NET, and Java applications.
  • Used Ansible and Ansible Tower as configuration management tool, to automate repetitive tasks, deploy applications, manage changes, and automate software update and verify functionality.
  • Worked on Ansible to configure the servers, deploy software, and orchestrate continuous deployments for zero downtime rolling updates.
  • Worked with Ansible playbooks for virtual and physical instance provisioning, configuration management, patching and software deployment.
  • Implemented Jenkins Workflow and Plugins for repeatable deployments of multi-tier applications, artifacts and services to Docker and Red Hat.
  • Maintained build related scripts developed in shell for Maven builds. Created and modified build configuration files including POM.xml. Configured Jenkins to build Java Code using Meta Case Software and executed CI process on the Java code generated.
  • Worked on infrastructure with Docker containerization. Collaborated with development support teams to setup a continuous delivery environment with the use of Docker.
  • Experience with the Kubernetes objects, such as Daemon-sets, Pods, Deployment, Jobs, Cronjobs.
  • Delt with Docker Images and Containers using Kubernetes by creating whole Master and Minion. Installed antifactory-Ha on top of Kubernetes for Dynamix PVC provisioning.
  • Built and deployed the application code using CLI Kubernetes like Kubectl, Kubelet, kubeadm, Kubespray and Scheduling the jobs using Kube-scheduler. Managed K8's charts using Helm and created reproducible builds of the Kubernetes applications.
  • Contributed to python library that deploys k8s clusters using helm charts, in-house tool (SSDT) for service deployments into the k8s clusters.
  • Developed and Implemented Kubernetes manifests, helm charts for deployment of microservices into k8s clusters.
  • Working on OpenStack nova, setup monitoring on Kubernetes, New Relic for application performance and sumo logic for log monitoring performance.
  • Implementing Kubernetes auth method to authenticate with Hashi Corp Vault using a Kubernetes Service Account Token then integrates Vault token into a Kubernetes Pod.
  • Creating Grafana Dashboards for monitoring the Kubernetes cluster using Prometheus for gauging the Availability of the API sever, scheduling rate of the Scheduler and using PromQL quires for specific metric.
  • Managed code and versioning control using Git and supported development team on resolving branching and merging issues.
  • Developed build and deployment scripts using Maven as build tool in Jenkins to move from one environment to other environments.
  • Integrated Jenkins CI with GIT version control and implemented continuous build based on check-in for various cross functional applications and created GitHub Web Hooks to setup triggers for commit, push, merge and pull request events.
  • Integrated Selenium regression test modules with Cucumber reporting into the CI framework and Worked with Selenium WebDriver, TestNG and JUnit framework for test automation in SQT.
  • Monitored the health check of micro services using Sumo Logic by creating dashboard and created system alerts using various data dog tools and alerted application teams based on the escalation matrix.
  • Worked with administrators to ensure Splunk is actively and accurately running and monitoring on the current infrastructure implementation. Used JIRA for bug tracking, issue tracking and project management.

Environment: and Tools: AWS EC2, S3, VPC, CloudWatch, EBS, Route 53, Lambda, Cloud Formation, IAM, Elastic Search, Log Stash, Ansible Tower, Docker, Terraform, Maven, Jenkins, GitHub, JIRA, Nagios, Splunk, RHEL, Solaris, CentOS, Shell scripting, Python Scripting, Ansible, CI/CD.

Confidential

Linux System Administrator

Responsibilities:

  • Installation, configuration and administration of Red Hat Linux servers and support for servers.
  • Planned and performed the upgrades to Linux (RHEL 4x, 5x, SUSE 10, 11, CentOS) operating systems and hardware maintenance like changing memory modules, replacing disk drives.
  • Provided the support of building the server, patching, user administration tasks, deployment, software installation, performance tuning and troubleshooting and KVM.
  • Installation and configuration of Oracle 7. X/8. X. Handling NFS, Auto Mount, DNS, LDAP related issues.
  • Monitoring CPU, memory, physical disk, hardware, and software raid, multipath, file systems, networks.
  • Performing failover and integrity test on new servers before rolling out to production.
  • Wrote Shell Scripts for automation of daily tasks, documenting the changes that happen in the environment and in each server, analyzing the error logs, analyzing the user logs, analyzing the /var/log/Messages.
  • Good understanding of OSI Model, TCP/IP protocol suite DNS, IP, ARP, TCP, UDP, SMTP, FTP, and TFTP.
  • Knowledge of Routers and Switches, Subnet, VLAN, TCP/IP, Ethernet, VPN, OSI model, Firewall.
  • Worked on Network security skills include NAT/PAT, ACLs, AAA, and ASA firewall.
  • Created local repositories on Linux servers Performed server updates, patching, upgrade, and package installations using RPM and YUM.
  • Performed server updates, patches and upgrades using YUM and RPM.
  • Installed Firmware Upgrades, Kernel patches, systems configuration, performance tuning on Linux systems.
  • Extensive knowledge on Server administration, Kernel upgrade and deployment of patches and applying all firewall and security policies with emphasis on maintaining best practices.
  • Identified, troubleshoot, and resolve problems with the OS build failures.
  • Installation, configuration, and customization of services send mail, Apache, FTP servers to meet the user needs and requirements.
  • Hands on Experience with Jira ticketing system.

Environment: and Tools: Java, Python, Maven, puppet, Jenkins, Docker, Nginx, Nagios, GIT, Agile, AWS EC-2, Route 53, S3, VPC, Auto-Scaling, ELB, ELK, Shell Scripts, Unix/ Linux environment, spark, Splunk.

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