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Sr. Cloud Engineer Resume

SUMMARY

  • Hands - on experience using Enterprise DevOps technologies and tools, such as AWS, Kubernetes, Docker, Jenkins, GIT Lab, Bit Bucket, Maven, Nexus, Selenium, Chef and Ansible.
  • Expertise in AWS Cloud that has services EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation and Security Groups. And updated existing AWS infrastructure to server less architecture (AWS Lambda), deployed via Terraform and AWS Cloud formation.
  • Experience in building cluster-based platform in AWS Cloud and wrote Cloud Formation Templates for provisioning infrastructure and created custom sized VPC, Subnets, NAT to ensure successful deployment of Web applications.
  • Created Automated pipelines in AWS Code Pipeline to deploy Docker containers in AWS EC2 using services like CloudFormation, Code Build, Code Deploy, S3 and Puppet.
  • Experience dealing with Microsoft Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, VPN, Resource Groups, Express Route, Load Balancing, Application Gateways, Auto- Scaling, Traffic Manager.
  • Experience in provisioning of IaaS, PaaS Virtual Machines and Web, Worker roles on Microsoft AZURE Classic and Azure Resource Manager (ARM), Deployed Web applications on Azure using PowerShell Workflow and Used Jenkins as Continuous Integration tools to deploy the Spring Boot Microservices to Azure Cloud and OpenStack using build pack.
  • Experience in creating ARM templates for Azure platform and in migrating on premise to Windows Azure using Azure Site Recovery and Azure backups.
  • Sound knowledge on SaaS, PaaS and IaaS concepts of cloud computing architecture and Implementation using AWS, OpenStack, OpenShift, Pivotal Cloud Foundry (PCF) and Azure.
  • Experience in using OpenStack CLI to interact with OpenStack Services like Nova, Neutron and Keystone and having experience in provisioning and optimizing of compute, network, and storage services with OpenStack through dashboard, command-line and API utilities.
  • Implemented Continuous Integration and Continuous Delivery using Jenkins, Maven and GIT as well as branching, tagging, merging and maintaining the version across the environments using version control tools such as GIT, Bit Bucket and SVN.
  • Automated the Build, deploy of all Java and .Net environments using various continuous integration tools and scripting languages (Python, Shell, Powershell), and Build clouds with AWS, AZURE.
  • Created and maintained highly scalable and fault tolerant multi-tier AWS and Azure environments spanning across multiple availability zones using Terraform .
  • Extensively worked on Jenkins and Bamboo for installing, configuring and maintaining continuous integration (CI) and for End to End automation of all builds and deployments.
  • Proficient in execution of software delivery automation using Jenkins, Nexus, and similar tools and demonstrated how coding practices are influenced by SonarQube code quality scan.
  • Worked with configuration management tools such as Ansible and Chef for process automation and managing infrastructure with s trong knowledge on Ansible Roles, inventory, Ansible Tower, Ansible Galaxy and worked with various aspects of Chef such as chef server, workstations, Nodes, chef clients and various components such as push jobs, super market etc.
  • Experience working on several Docker components like Docker Engine, Hub, Machine, Compose and Docker Registry. Designed Docker images & linked Docker containers for secured way of data transfer.
  • Experience with OpenShift, Docker swarm, Kubernetes and clustering frameworks. Automated application deployment in cloud using Docker’s Elastic Container Service Scheduler. Experience with application level containerization management with Docker and Kubernetes.
  • Experience in Building and deploying the application code using CLI of Kubernetes like kubectl, kubelet, kubeadm, Kubespray and Schedule the jobs using kube-scheduler, Managed K8s charts using Helm and created reproducible builds of the Kubernetes applications and managed Kubernetes manifest files and releases of Helm packages.
  • Experience in implementing Kubernetes auth method to authenticate with HashiCorp Vault using a Kubernetes Service Account Token then integrates Vault token into a Kubernetes Pod.
  • Implementing kubernetes auth method to authenticate with HashiCorp Vault using a Kubernetes Service Account Token then integrates Vault token into a Kubernetes Pod and Implemented clusters using Kubernetes and worked on creating pods, replication controllers, Name Spaces, deployments, Services, labels, health checks, Ingress resources and Controllers by writing YAML files and Integrated them using weave, flannel, calico SDN networking.
  • Implemented Data storing in MySQL. Vault (by HashiCorp) secures, stores and tightly controls access tokens and passwords used by the overall platform, started in the AWS cloud and currently integrates with several services like: AWS IAM, Amazon DynamoDB, Amazon SNS, Amazon RDS.
  • Worked in development, testing and production environment using SQL, PL/SQL procedure, python, Ruby, PowerShell and shell scripts and managed hosting the servers like Tomcat, apache and NGINX.
  • Extensive experience with Build automation and standardization tools such as ANT, Gradle and Maven.
  • Experienced in authoring pom.xml files, performing releases with the Maven release plug-in, mavenization of Java projects and managing Maven repositories and researched, implemented code coverage and unit test plug-ins with Maven.
  • Ability to build deployment, build scripts and automated solutions using scripting languages such as Shell scripting (Bash) and python and having good knowledge on Groovy scripting.
  • Working knowledge of Entrust suite of PKI products like Security Manager, Administration Services, Security Manager Proxy, with directory products (LDAP), like Active Directory, PKI-based protocols, SSL and TLS, HTTP, LDAP.
  • Provided automated, scalable solutions using tools like AWS, Terraform, Kubernetes for end-to-end reliability and scalability of automated deployments and continuous improvement with high availability, high productivity.
  • Experience in Administering Linux with Exposure to scripting languages such as Ruby, Perl, Power Shell and wrote multiple scripts in python to schedule cron jobs for monitoring server resources, CPU usage.
  • Worked with AWS Secrets Manager to protect secrets, easily rotate, manage, and retrieve database credentials, API keys, OAuth tokens and used Cloudwatch for monitoring AWS cloud resources and the applications that deployed on AWS by creating new alarm, enable notification service and monitored stats from all services in AWS solutions.
  • Worked on web servers such as Apache and application servers such as Tomcat, Web sphere, IIS and JBOSS to deploy code.
  • Experience in Installation, Configuration, Backup, Recovery, Maintenance, support and Creating Linux Virtual Machines using VMware Virtual Centre (ESXI), hypervisor-v and PHP Virtual Box.
  • Deployed and managed applications to monitor cloud infrastructure security and intrusions and performed initial incident triage, determine scope, urgency, and potential impact of security incidents and strong familiarity with Host Based Security Products like Symantec, Trend Micro and remote access solutions - Terminal Services, and authentication solutions - LDAP and standard network services - DNS, SMTP, IMAP or POP3, network equipment Checkpoint, Juniper, Cisco (IOS and ASA).
  • High exposure to ServiceNow, Remedy and JIRA defect tracking tools for tracking defects and changes for Change management.
  • Experience working with log monitoring tools syslog and ELK Stack (Elastic search, Logstash, Kibana), also used Cloud Watch, Nagios, New Relic and Splunk for monitoring.
  • Exposure to development and modification of SQL queries and stored procedures to meet business requirements and achieve desired performance and Having knowledge on NoSQL databases like Cassandra, HBase and MongoDB.
  • Strong ability to troubleshoot any issue generated while building, deploying and during production.

TECHNICAL SKILLS

Cloud Environments: AWS, Azure, Google cloud platform, OpenStack, pcf

Containerization Tools: Docker, Kubernetes, Docker Swarm

Configuration Management Tools: Chef, Puppet, Ansible, Salt stack, AWS system Manager

Monitoring Tools: Splunk, Dynatrace, Nagios, ELK, Datadog, AppDynamics, Grafana, Prometheus, AWS Cloud Watch

Databases: Oracle, MySQL, MongoDB, SQL Server, MS SQL, NOSQL, Cassandra, DB2

Build Tools: ANT, MAVEN, Hudson, Jenkins, XL release and XL deploy

Version Control Tools: TFS, GIT, GitHub, GitLab, Perforce, BIT BUCKET

Web Servers: Apache Tomcat, Web Sphere, JBOSS, WebLogic Web, Ngnix

Languages/Scripts: C, HTML, Shell, Bash, Python, PHP, Ruby, Java, Yaml, Jason

SDLC: Agile, Scrum

Operating Systems: Red Hat, Ubuntu, Linux & Windows, CentOS, Debian

PROFESSIONAL EXPERIENCE

Confidential

Sr. Cloud Engineer

Responsibilities:

  • Expertise in AWS Services like EC2, IAM, lambda, Elastic Container Service (ECS), EKS, CloudFront, S3, Route 53, VPC, ELB, Autoscaling, CloudWatch, CloudTrail, RDS, Dynamo DB, Redshift, API gateway, SQS, SNS, Kinesis, SES and other services.
  • Worked a lot on Terraform templates to create and deploy infrastructure like S3 and DynamoDB as backend, custom-sized VPC, subnets, route tables as Networking and Deployed EC2 instances, ELB, security groups for deploying Jenkins as a cluster of Jenkins Master and slave nodes using ECS service.
  • Implemented CI/CD pipeline for Developer team and configured Jenkins, to deploy code, and generate test reports according to the requirements of Developers, worked with Git hooks, pool of plugins to make the Jenkins flexible, extendable for building, deploying, automating code across various platforms.
  • Designed and hosted cloud solutions using Azure PaaS services such as App Services, Azure functions, AKS, Cosmos DB, Event Bus, Event Hub and Worked with Event driven architecture using Azure Service Bus, Azure Event Hubs, Event Grid, Messaging technologies like JSON, XML for hosting Highly Available, Resilient and Scalable solutions on Azure for environments like Dev, QA and PROD.
  • Handled migration of on premises applications to cloud, and used Snowflake which provided unlimited storage capacity, cloud-scaling and low-cost storage pricing needed for data lake for migrating Azure data sets and worked on running the Snowflake SaaS Data Warehouse a nd created resources in cloud to enable this and expert in deploying of OpenStack on Azure platform and handling issues related to RDP of Azure Infrastructure.
  • Worked with Azure Kubernetes Service to provision fully managed clusters with automatically configured monitoring capabilities based on Prometheus and used Azure Advisor to optimize Kubernetes deployments and Elastically added compute capacity and deployed only validated images to private container registry by dynamically enforcing the guardrails defined in Azure Policy as a part of CI/CD workflows and Automated threat detection and remediation using advanced analytics from Azure Security.
  • Hands-on Experience with Docker for convenient environmental setup for development and testing, Installed Docker Registry for local upload and download of Docker images and even from Docker hub and Integrated Docker container-based test infrastructure to Jenkins CI test flow and set up build environment integrating with Git and Jira to trigger builds using Webhooks and Slave Machines and Worked on major components of Docker like Docker Daemon, Hub, Images, Registry and Created Docker Slave Nodes for Jenkins using custom Docker Images and pulled them to Cloud.
  • Worked on Refactoring of monolithic applications to a Microservices and Component based architectures, Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed Kubernetes and Implemented a load balanced, highly available, fault tolerant, Kubernetes AWS infrastructure and microservice container orchestration.
  • Experience in Creating, Maintaining, Deploying, and Monitoring of AWS ECS, Kubernetes Clusters for various application in different environments and developed Kubernetes Pod definitions, deployments and used Helm Charts to version control complete deployment strategies and configured aggregation of Cloud Trail logs across AWS accounts and region into singe S3 bucket to perform security analysis, track changes to AWS resources, troubleshoot operational issues and to demonstrate compliance with internal policies and regulatory standards.
  • Written Ansible playbooks which are the entry point for Ansible provisioning, defined tasks using YAML format and run Ansible Scripts to provision Dev servers and Integrated Ansible with Jenkins to provide automation, Continuous Integration through Jenkins and Implemented and maintained Ansible Configuration management spanning several environments in VMware and the AWS cloud.
  • Designed AWS CloudFormation templates to create custom sized VPC, Subnets, NAT to ensure successful deployment of Web applications and used AWS Cloud Front to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers, Managed, analysed the petabyte-scalable data using AWS Redshift cluster.
  • Architected and configured a virtual data centre in the AWS cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables and Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing, Glacier and Created user accounts for the Dev, Testing, QA, production teams and added them into different groups and assigned respective roles to each group using AWS IAM.
  • Migrated Postgresql and MySql databases from on-premises to AWS EC2 and RDS environments and Monitored, maintained EC2 & RDS databases using Nagios and CloudControl .
  • Implemented Jenkins Workflow and Plugins for repeatable deployments of multi-tier applications, artifacts and services to Docker and Expertise in setting up build environment and integrated with Git, JFrog Artifactory, SonarQube analysis and Jira to trigger builds using Web Hooks and deployed to Slave Machines by integrating Docker container-based test infrastructure to Jenkins CI/CD test flow for automated test environments, used MAVEN as a build tool on Java projects and written maven POM files from scratch for multi-modules projects for the development of build artifacts.
  • Worked on building APIs and services using REST, SOAP with DynamoDB, and SQL as databases, Wrote Python scripts using Boto3 to automatically spin up the instances in AWS EC2 and OPS Works stacks and integrated with Auto scaling to automatically spin up the servers with configured AMI’s and Written Cloud Formation Templates for AWS Services like ECS, API Gateways, Auto Scaling, DynamoDB and integrating AWS DynamoDB using AWS Lambda to store the values, items and backup the DynamoDB streams and Wrote Shell deployment scripts for Tomcat web application servers and worked on setting up Kafka cluster on the QA and Production environments with hand on experience on Kibana and Elastic search to identify the Kafka message failure scenarios.
  • Created alarms and trigger points in CloudWatch based on thresholds, monitored the server's performance, CPU Utilization, disk usage, utilized AWS CloudWatch service to monitor environment for operational, performance metrics.
  • Experience in setting up Upstream and Downstream Jobs in Jenkins for creating Pipelines and Worked on Planning and Design architecture for ELK (Elastic Search, Logstash and Kibana), as Batch Layer, worked on search API server and client for querying Elastic Search, Monitored ELK to debug production issues and log the AWS S3 storage that stores the sites traffic activity and Developed Docker Images to support Development and Testing Teams and their pipelines, Jenkins distributed builds, Selenium and JMeter images, Elasticsearch, Kibana and Logstash (ELK & EFK).
  • Created custom templates like automated Deployment notes using Confluence API’s for use within Confluence , and Integrated JIRA with Confluence , involved in setting up JIRA as defect tracking system and configured various workflows, customizations and plugins for the JIRA bug/issue tracker.

Environment: AWS (EC2, EBS, S3, VPC, Code Deploy, Elastic search, Lambda, API Gateway, Route 53 (DNS), ECS, CloudFormation, RDS, Dynamo DB, SNS, SES, SQS, IAM, RedShift, Ops Works), Java, Python, Terraform, Maven, Ansible, Maven, Docker, Kubernetes, Jenkins, GIT, Python, ELK, Jira, Azure Migrations, AKS, Azure DevOps Pipelines.

Confidential - Louisville, Kentucky

Cloud / DevOps Engineer

Responsibilities:

  • Built and Maintained and Deployed AWS cloud resources like EC2, EBS, S3, VPC, RDS, ELB, Auto Scaling, Cloud Formation, Elastic Cache, Cloud Watch, SNS, AWS Import/Export.
  • Designed Cloud architectures for customers looking to migrate or develop new PAAS, IAAS, or hybrid solutions utilizing AWS and AZURE environments and Worked on Migration from AWS Cloud to Azure and designed terraform templates and modules to build entire Azure infrastructure and Used Terraform as infrastructure as code, execution plans, resource graph and change automation.
  • Designed and hosted cloud solutions using Azure PaaS services such as App Services, Azure functions, AKS, Cosmos DB, Event Bus, Event Hub and Worked with Event driven architecture using Azure Service Bus, Azure Event Hubs, Event Grid, Messaging technologies like JSON, XML for hosting Highly Available, Resilient and Scalable solutions on Azure for environments like Dev, QA and PROD.
  • Experience in creating ARM templates for Azure platform and in migrating on premise to Windows Azure using Azure Site Recovery and Azure backups and created and configured HTTP Triggers in the Azure Functions with Application insights for monitoring and performing load testing on the applications using the VSTS.
  • Experience setting up new environments, rebuild existing environments, hands on experience installing OS, configuring, preparing Application baseline, setting up IIS, deploying application and performing test to make sure site is up and running, used PowerShell scripting for automation of deployments and for procuring Virtual Machines in Azure.
  • Hands on experience with IoT PaaS on Azure-IoT and Participate in the definition of development of IoT roadmaps, prepared blueprints and supported the technical decisions while Partnering with product management, product development to massively scale IoT capabilities throughout the enterprise.
  • Worked on Setting up Azure network Security with NSG and Endpoint ACLS, assigned Roles and Policies to Users by using Identity and Access Management (IAM) and c onfigured, Managed Hadoop Clusters for Spark streaming jobs using Microsoft Azure and along with SQL.
  • Experience creating cloud big data solutions utilizing Azure PaaS solution such as HDInsight, Azure Data Warehouse, Azure Data Lake, Azure Data factory, Azure Analytics Services and Setting up Virtual networks for site-to-site, Point-to-Site and Express Route Circuits in Azure and Working knowledge on IoT Strategy, standards, protocols.
  • Created builds and release pipelines in VSTS and worked on deployments using SPN secure endpoint connection for implementing CI/CD and worked on automation for deployments by using YAML scripts for massive builds and releases and deployed the services by VSTS Azure DevOps pipelines.
  • Configured Continuous Integration from source control, setting up build definition within Visual Studio Team Services (VSTS) and configured continuous delivery to automate the deployment of ASP.NET MVC applications to Azure web apps and managed Azure Active Directory, Office 365 and applied upgrades on a regular basis.
  • Deployed Azure Cloud services (PaaS role instances) into secure VNets, subnets and designed Network Security Groups (NSGs) to control Inbound & Outbound access to Network Interfaces (NICs), VMs & subnets.
  • Served as the lead PowerShell developer in hundreds of Windows based migration and automation projects and created automated solution using Windows PowerShell to manage the backup of the primary file server and programmatically notify the administrator via email of the backup’s success or failure.
  • Worked on Azure based PaaS & SaaS services like Data Lake, Azure AD, SQL DW, Machine Learning, Data Factory and managed Microsoft Azure environments VM’s, NSG’s, Resource Groups with Windows administration and w orked on migrating SQL server database to SQL Azure data base using SQL Azure migration wizard and working knowledge on Azure Fabric, Micro services, IoT & Docker containers in Azure.
  • Worked on creating the Docker containers and Docker consoles for managing the application life cycle and Used Docker for container snapshots, attaching to a running container, removing images, managing directory structures and managing containers in Docker registry and Automated application deployment in cloud using Docker technology using Elastic Container Service Scheduler.
  • Automated various infrastructure aspects like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and Integrated Ansible with Jenkins , Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python to run Ansible Scripts to Provide Dev Servers and configured Generic data source, Multi data source using configuration management Process Ansible .
  • Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages and scheduled, deployed and managed Container replicas onto a node cluster using Kubernetes .
  • Created and automated the Jenkins pipeline using pipeline groovy script for the applications and Deployed application using Jenkins server and worked on troubleshooting build and release job failures , resolve, work with engineers on resolution Configured GIT with Jenkins and automated jobs using Build trigger option, developing Maven scripts to automate the compilation, deployment, testing of Web, J2EE applications.
  • Involved in developing custom scripts using Python, PowerShell, YAML, Bash to automate jobs and worked on setting up monitoring tool Splunk to maintain various systems in different environments and Deployed and configured Elasticsearch , Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and CloudWatch to store those logs and metrics into S3 bucket using Lambda function.
  • Extensively Deploying the software updates to different Environments like Test, Staging, Pre-Prod, Production with terraform and Hands on experience with Installing, Configuring, Monitoring RabbitMQ Message broker- HL7 messages and worked on Deploying a Dockerized Rabbit MQ in OpenShift to use auto-scaling capabilities of OpenShift with a RabbitMQ cluster.
  • Build dynaTrace dashboards and reports and helped teams to build their own dashboards On-boarded new applications into dynaTrace, and worked on profile configuration, agent setup, instrumentation, Diagnose, troubleshoot, and resolved dynaTrace issues, implemented timely upgrade to dynaTrace system, Performed dynaTrace upgrades in environments including production and Integrated Jira with Dynatrace to generate Incidents from Dynatrace and deployed new Dynatrace architecture Confidential disaster recovery site & automated provisioning repetitive tasks using Terraform and Python.

Environment: AWS (Auto Scaling, Cloud Formation, ELB, RDS, EC2 S3, VPC, Cloud Watch, Cloud Formation, AMI, Subnets, ELK), Azure (Web Roles, Worker Roles, SQL Azure, Data Lake, Azure AD, SQL DW, Machine Learning, Data Factory and NSG’s, Azure Storage, Resource Groups, Office365, RBAC), OpenStack (Kilo/Liberty), RabbitMQ, Terraform, Ansible, Docker, Kubernetes, Maven, Jenkins, GIT, Python, Jira, Dynatrace, Confluence, VMware, PowerShell, Shell Scripting, Java, MySQL, JIRA, IoT.

Confidential

DevOps Engineer

Responsibilities:

  • Installed Workstation, Bootstrapped Nodes, wrote Recipes, and Cookbooks and uploaded them to Chef - server and managed AWS for EC2/S3 & ELB with Chef Cookbooks.
  • Expertise in converting existing AWS infrastructure to Server-less architecture (AWS Lambda, Kinesis) deployed via CloudFormation.
  • Configured Kubernetes Replication controllers to allow multiple pods such as Jenkins master server in multiple minions and managed Kubernetes charts Helm, and Created reproducible builds of Kubernetes applications, managed Kubernetes manifest files, releases of Helm packages
  • Developed Chef Recipes in Ruby to configure, deploy and maintain software components of existing infrastructure to cloud and bootstrapped chef client nodes and Automated Nagios alerts and email notifications using python script and executed them through Chef .
  • Implemented continuous integration using Jenkins master and slave configuration and configured security to Jenkins and added multiple nodes for continuous deployments and configured SVN with Jenkins and scheduled periodic builds.
  • Installed and configured Jenkins and created parameterized jobs to kick off builds for different environments and Managed the team's source repository through SVN and continuous integration system using Jenkins .
  • Maintained Artifacts in binary repositories using JFrog Arifactory and pushed new Artifacts by configuring the Jenkins project Jenkins Artifactory plugin. Solely admin the Artifactory , and responsible for backing-up/upgrading to latest Artifactory versions and granting the require access to the authorized people.
  • Managed a private SVN version controlling server for developer teams to commit code.
  • Worked on the installation and configuration of the monitoring tool Nagios , updated monitoring parameter with active and passive check and monitored network devices and reviewed network logs to identify potential problems.
  • Developed Ant and Maven scripts to automate the compilation, deployment and testing of Web and J2EE applications.
  • Setup Maven Remote Internal Secure Repository with access restricted to team members.
  • Responsible for Building and configuring Redhat Enterprise Linux systems over the network, implementing automated tasks through crontab, resolving tickets according to the priority basis.
  • Deployed MySQL queries for database update and maintained the MySQL server issues.
  • Experience in Creating and managing users and groups accounts, passwords, permissions, logging, disk space usage and processes via Disk Quota, PAM Limits, ACL s, LDAP .
  • Responsible for patches for the operating system, building startup shell scripts, managing the automation of CRON jobs and managing file systems.
  • Configuration and administration of DNS , Web , Mail , DHCP and FTP Servers . Managed users and groups on a large scale in NIS and LDAP environments.
  • Configured applications in virtual private cloud (VPC) and hardened it from malicious attacks using 2-layer protection from security groups ( Confidential instance level) and network access control lists (NACL, Confidential subnet level) and using network access translator (NAT) instance.

Environment : Chef, Ruby, Puppet, IAC, TDD, RedHat Enterprise Linux, Jenkins, SVN, Nagios, ANT, MAVEN, JAVA, J2EE, MySQL, Oracle WebLogic, LDAP, ACL, NIS, DNS, DHCP, FTP.

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