cloud devops engineer resume example with 6+ years of experience

Jessica Claire
, , 100 Montgomery St. 10th Floor (555) 432-1000,

IT professional with 6+ years experience in DevOps engineering,AWS, build and release management, Linux administration, and cloud management in phases like financial communications, understanding the requirements of the business, and acting according to those requirements, I look forward to bringing my experience to your company. PROFESSIONAL SUMMARY Amazon Web Services AWS Certified with 5 years of IT experience in all phases of the Software Development Life Cycle (SDLC) such as planning, analysis, design, implementation, testing, and maintenance of web-based, client-server applications in all domains Strong experience in setting up enterprise infrastructure on Amazon Web Services (AWS) like EC2 instances, ELB, EBS, S3 buckets, security groups, auto-scaling, AMI, RDS, IAM cloud formation, Cloud Front, and VPC services. Experience working on Azure Cloud services, Azure Storage, Azure CLI, Azure Active Directory, and Azure Service Bus. Taking care of a client's confidential Azure-based PaaS and IAAS environment. Taking care of our customers' Windows Azure infrastructure based on their needs. Worked on Microsoft AzureStorage: storage accounts, blob storage, managed and unmanaged storages. Responsible for web application deployments over cloud services (web and worker roles) on Azure, using VS and PowerShell. Set up GCP Firewall rules to allow or block traffic to and from VM instances based on configuration, and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations, which greatly improved user experience and latency. Learn how to design a Terraform and deploy it in the cloud deployment manager to set up Google Cloud Platform resources like cloud virtual networks, compute engines in public and private subnets, and AutoScaler. Expertise in creating Kubernetes clusters with cloud formation templates, deploying them in the AWS environment, and monitoring the health of pods using Helm charts. Used Kubernetes to orchestrate the deployment, scaling, and management of Docker containers. Experience in container management using Docker by writing Docker files, setting up the automated build on Docker HUB, and installing and configuring Kubernetes. Experience writing playbooks for Ansible and deploying applications with Ansible. Used Chef to deploy in both test and production environments. Involved in setting up Jenkins Master and multiple slaves for the entire team as a CI tool as part of the continuous development and deployment process. Experience with a bug tracking tool like JIRA I created and wrote shell scripts (Bash), Ruby, Groovy, YAML, JSON, Python, and PowerShell for automating tasks. I used Python scripting to stop all the instances with a specific tag in an AWS instance using Lambda functions and made it into a CloudWatch scheduler to schedule it every night. Experience installing, configuring, supporting, and fixing Unix/Linux networking services and protocols like TCP, SMTP, HTTP, SNMP, NIS, NIS+, OSPF, LDAP, DNS, NFS, DHCP, NAS, FTP, SSH, and SAMBA. Use Cloud Watch, Nagios Cloud Trail, and Splunk to monitor and alert on AWS applications in real time.

  • Cloud Services:
  • AWS, Azure, GCP
  • Management Tools: Chef, Ansible, Puppet
  • Building Tools: Grandle, Maven, Ant
  • Container Tools: Docker, Kubernetes
  • Source Control Tools:
  • GIT, SVN(Subversion), Bitbucket, JIRA
  • Operating Systems: Ubuntu Linux, Windows
  • Database Systems: My SQL, Mongo DB, IBM DB
  • Configuration management Tools: Terraform, AWS cloud formation, Ansible
  • Networking: DNS, DHCP, SMTP, HTTP, SNMP
  • Scripting: Python, JavaScript, PowerShell, JSON
  • Application and Webservers: Tomcat, JBoss, Weblogic
  • Virtual Technologies: VMware, Virtual box, Power VM
  • Monitoring Tools: Cloudwatch, ELK, Grafana, New Relic, Dynatrace
  • Programming Languages: Java, Python, HTML, JavaScript, CSS, PHP, Ruby
01/2021 to Current Cloud/DevOps Engineer General Dynamics | Oceanside, CA,
  • Worked with AWS services like EC2, S3, VPC, ELB, Autoscaling Groups, Route 53, IAM, CloudTrail, CloudWatch, CloudFormation, CloudFront, SNS, and RDS
  • 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
  • Configured AWS Identity Access Management (IAM) Group and users for improved login authentication
  • Managing IAM accounts (with MFA) and policies and Identity providers to meet security audit & compliance requirements
  • Introduced git-flow branching strategy incorporated it in CI Automation and integrated it into the pipeline
  • Design & implement migration strategies for traditional systems on Azure (Lift and shift/Azure Migrate, other third-party tools) worked on Azure suite: Azure SQL Database, Azure Data Lake(ADLS), Azure Data Factory(ADF) V2, Azure SQL Data Warehouse, Azure Service Bus, Azure Key Vault, Azure Analysis Service(AAS), Azure Blob Storage, Azure Search, Azure App Service, Azure Data Platform Services
  • Converted existing terraform modules that had version conflicts to utilize cloud formation during Terraform deployments to enable more control or missing capabilities
  • Used Terraforms to set up the AWS infrastructures such as launching the Ec2 instances, S3 bucket objects, VPC, and Subnets
  • Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy
  • Kubernetes is an open-source system for managing containerized applications across multiple hosts, providing basic mechanisms for the deployment, maintenance, and scaling of applications
  • Managed Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files & releases of Helm packages
  • Configured Ansible to manage AWS environments and automate the build process for core AMIs used by all application deployments including Autoscaling, and CloudFormation scripts
  • Automated the cloud deployments using Ansible, Python (Boto & Fabric), and AWS Cloud Formation Templates
  • We used Ansible-Galaxy for Templates and modified them as per our requirements Installed and Implemented the Ansible configuration management system
  • Used Ansible to manage Web applications, Environment configuration Files, Users, Mount points, and Packages
  • Set up Continuous Integration with Jenkins and make use of the wide range of plugins available to set up smooth developer-friendly workflows
  • Promoting the artifacts to Artifacts Repository Managers like JFROG Artifactory and Nexus
  • Responsible for maintaining development tools and utilities and shell and Perl automation Scripts
  • Used Build tools like Maven, and JIRA to generate test reports
  • Used Maven to help manage the project’s build, report, and documentation across the network
  • Designing and implementing the Splunk Architecture in the organization and developing Splunk Applications to analyze Big Data
  • Create and manage systems that power Splunk multi-tenant services hosted in the public cloud by designing and writing code
  • Involved in setting up Jira as a defect-tracking system and configuring various workflows, customizations, and plug-ins for the Jira bug/issue tracker.
12/2018 to 09/2020 Cloud/DevOps Engineer General Dynamics | Oklahoma City, OK,
  • Responsible for managing Azure cloud (ASM & ARM) with a major focus on Windows IaaS machines
  • Good experience in working with PaaS and SaaS offerings
  • Extensive experience using PowerShell, automation runbooks, workflows, and DSC for automation tasks
  • Expertise in Azure infrastructure management (Azure Web Roles, Worker Roles, Azure Storage, Azure AD Licenses, Office365)
  • Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Portal
  • Developed different environments for different applications on the Google Cloud Platform (GCP) by provisioning Kubernetes clusters on GCE instances and GKE using Docker, Bash, and Python
  • Migration from on-prem to Google cloud environment and for the GCP services such as Google compute engine, Big Query, cloud storage, Bigtable, Spanner, Memory Store, IoT Core, and Network service tiers
  • Used Terraform as infrastructure as code, execution plans, resource graph, and change automation
  • Managed GCP infrastructure as code using Terraform
  • 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 Cosmo DB for stateless storage of external data, and set up reverse proxy Nginx in the cluster
  • Established a local dev workflow that centered on minikube to validate deployments in Kubernetes
  • Created RESTful API to store, update, read & delete bucket information on Console using Kubernetes interfaces
  • Worked on Docker container snapshots, attaching to a running container, removing images, managing director structures, and managing containers
  • Created Ansible roles in YAML and defined tasks, variables, files, handlers, and templates
  • Created inventory and configured the Ansible files for parallel deployment in Ansible for automating the continuous delivery process
  • Configured Jenkins master with necessary plugins and slaves to support scalability and agility and configured Jenkins to implement nightly builds daily and generated a change log to include daily changes
  • Performed time estimations & create project plans to define the release cadence and maintain various project artifacts to effectively communicate the progress to all stakeholders
  • Worked on Power Shell scripts to automate the Azure Cloud system in the creation of Resource groups, Web Applications, Azure Storage Blobs & Tables, and firewall rules and used Python scripts to automate day-to-day administrative tasks
  • Used Maven for building the WebDriver project
  • Integrated with Continuous Integration tools Jenkins for running tests on a nightly basis automatically
  • Experience in upgrading Atlassian products like Confluence, JIRA Administration experience with customizing JIRA projects with various schemas, complex workflows, screen schemes, permission schemes, notification schemes, etc
  • Created Custom workflows, custom screens, and custom fields on Jira and installed various Jira Plugins
  • Enabled Help center for Jira Service Desk and created projects within Service Desk
03/2017 to 11/2018 DevOps Engineer Alleare Consulting | Mesa, AZ,
  • Involved in developing custom images on Cloud using AWS images and on ESX using Templates and involved in building physical servers using Kickstart PXE Boot and Jumpstart
  • Creating S3 buckets and also managing policies for S3 buckets and Utilized S3 bucket and Glacier for storage and backup on AWS
  • Proficiency in using Terraform key features such as Infrastructure as Code, Execution Plans, Resource Graphs, Change Automation, and extensively used Auto Scaling launch configuration templates for launching cloud instances while deploying Microservices
  • Deployed Kubernetes clusters on top of Servers using KOPS
  • Managed local deployments in Kubernetes, creating local clusters and deploying application containers
  • Building/maintaining docker container clusters managed by Kubernetes and deployed Kubernetes using helm charts
  • Created Docker images using a Docker file, worked on Docker container snapshots, removed images, and managed Docker volumes
  • Worked on setting up a Chef Workstation, bootstrapping various enterprise nodes, and worked with chef Cookbooks, Chef Recipes, Chef Attributes, and Template
  • Responsible for Administering and maintaining Jenkins and Jenkins slaves on windows and Linux (Debian/Ubuntu)
  • Created many Jenkins slaves and set up jobs for masters to run on slaves
  • Enabled Continuous Delivery through Deployment into several environments of Test, QA, Stress, and Production using Jenkins
  • Have experience working as an Artifact repository manager for nexus and Arti factory
  • Worked as an Artifactory admin and helped in storing the binaries from any build tool; may it be Ant, Maven, or others as well as a CI server
  • Experienced in developing back-end web applications by understanding the business needs using python flask to create user-friendly, interactive web applications by organizing the views using a blueprint
  • By using JIRA/CONFLUENCE we maintain our product release wikis on confluence and administer JIRA and manage tickets raised
  • Rotate logs using log-rotate without performing any operation on Linux servers
  • Worked with the Splunk admin team on configuring tech data extraction from custom log formats, so that Splunk can identify most of the tech fields.
01/2016 to 11/2017 Build and Release Engineer Faithlife | Chandler, AZ,
  • Worked on various Docker components like Docker Engine, Hub, Machine, Compose, and Docker Registry
  • Worked on Docker to containerize the Application and all its dependencies by writing Docker files, Docker-Compose files, Docker container snapshots, managing Docker volumes, and deploying Docker Swarm using Ansible
  • Using Chef and AWS allowed me to reduce costs for the department and eliminate unwarranted resources
  • Automated provisioning of cloud infrastructure with Chef
  • Written wrapper scripts to automate the deployment of cookbooks on nodes and run the chef-client on them in a Chef-Solo environment
  • Created and maintained the Jenkins jobs, including automatic generation, reporting, and alerting of test and code metrics (JUnit, PMD, etc), build failures, and build status indicators
  • Create and Maintain Subversion Branching, Merging, and Tagging across each Production release and perform builds using Jenkins Continuous Integration using Maven Scripts
  • Studied the current build and release process and automated the process using shell scripts
  • Created and maintain build automation shell, manage building fixes, merges, and release cuts as needed, Written scripts for environment changes in Bash, Perl, and Python for Web sphere mapping modules to the enterprise application
  • Managed builds and made necessary changes to Ant and Maven build scripts for Java/WebLogic-based applications
  • Resolved various Infrastructure and Application issues raised in JIRA tickets by DEV/QA teams.
Education and Training
Expected in 12/2022 to to Master of Science | Computer And Information Systems Security New England College, Henniker, NH GPA:
Expected in 05/2020 to to Bachelor of Science | Electrical, Electronics And Communications Engineering K L University, Vaddeswaram, GPA:

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Resume Overview

School Attended

  • New England College
  • K L University

Job Titles Held:

  • Cloud/DevOps Engineer
  • Cloud/DevOps Engineer
  • DevOps Engineer
  • Build and Release Engineer


  • Master of Science
  • Bachelor of Science

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