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Devops Engineer Resume

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Alexandria, VA

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SUMMARY:

5+ years of experience in IT industry comprising of DevOps with skill in Continuous Integration and Continuous Deployment/Delivery (CI/CD), Configuration Management (CM), Linux Administration, Automation, and Monitoring. I have experience supporting, managing, and optimizing cutting edge deployment of cloud resources in AZURE/AWS, utilizing CI/CD, CM, and DevOps processes. Authorized to work in the United States for any employer.

CORE QUALIFICATIONS / EXPERIENCE:

Operating Systems: Mac/Windows/Linux

Cloud Platform: AWS, Azure

AWS Services: EC2, S3, ELB, Auto Scaling Groups, CloudFormation, RDS, VPC, IAM

A ZURE Services: ACI. ACS, AVM, AKS, ASG, ACR, ARM

CI/CD Tools: Jenkins, Github/GitLab, Azure Devops

Configuration Management Tools: Ansible

Containerization Tool: Docker, Kubernetes

Web Technologies: HTML5, CSS3, HTTP, and JavaScript

Databases: MySQL, Mongo DB

Programming and Scripting Languages: Shell, Bash, Linux, Python

Web Servers: NGINX (Ubuntu, CentOS)

Application Servers: Node.js

EMPLOYMENT EXPERIENCE:

DevOps Engineer

Confidential, Alexandria, VA

Responsibilities:

  • Perform periodic extract, transform, load (ETL) tasks to feed client systems
  • Implement, and automate builds, deployments, validations, and configurations
  • Help build, maintain, and execute automated CI / CD pipelines for development, QA, and production
  • Instrument code, build tools, and dashboards to help visualize and understand real - time system health, usage, and performance metrics
  • Help maintain the infrastructure and service health monitoring process to enable proactive issue mitigation and expedited issue resolution
  • Apply appropriate controls to pipelines to facilitate fast release cycles with minimal risk
  • Provide input into best practices for source control, continuous integration, release management, and validation
  • Bring an understanding of open source automation technologies to improve the velocity and quality of our products
  • Continuously improve build and deployment processes
  • Identify opportunities to automate and deliver self service capabilities for the most common infrastructure and tasks
  • Participate in sprint planning

DevOps Engineer

Confidential, Bowie, MD

Responsibilities:

  • Developed Application Insights or Operations Management Suite (OMS)
  • Produced Azure Resource Templates, Policies and Governance Plans
  • Mapped Azure Active Directory to the organization AD
  • Hybrid Cloud Environment Support (Tier 1 & 2)
  • Recommend security and patch, update as they become available
  • Manage compute resources within Azure
  • Deploy web and service-based applications in MAC/Linux environments
  • Deploy highly-available, scalable, and secure applications within Azure
  • Provide a working model of Azure Resource Manager
  • Communicate and work in a DevOps environment with teams
  • Working as Cloud Administrator on Microsoft Azure, involved in configuring virtual machines, storage accounts, resource groups.
  • Remote login to Virtual Machines to troubleshoot, monitor and deploy applications.
  • Experienced in Provisioning of IAAS & PAAS Virtual Machines and Web\Worker roles on Microsoft Azure and Azure Resource Manager.
  • Web Services experience with Apache, Nginx
  • Use Docker / Kubernetes to build, deploy and containerized applications
  • CI/CD workflow using Jenkins, Gradle, Artifactory & Github
  • Multi-Container deployments utilizing Node.js and Postgres
  • Build and deploy Kubernetes Clusters with Docker on Azure VMs

AWS DevOps - Mid

Confidential, Lanham, MD

Responsibilities:

  • Responsible for using AWS Console and AWS Command Line Interface for deploying and operating AWS services.
  • Working on Multiple AWS instances set the security groups, Elastic Load Balancer and AMIs, Cluster orchestration with EKS, Performed manual updates to nodes
  • Setup and build AWS infrastructure using various resources such as EC2, VPC, S3, IAM, EBS, Security Groups and Lambda

Geospatial Intelligence Analyst

Confidential, Springfield, VA

Responsibilities:

  • Highly proficient in administering and deploying enterprise level open source and commercial off-the-shelf (COTS) GIS server equipment in support of intelligence organizations.
  • Performs high level/expert intelligence systems architecture design and evaluation
  • Proficient in utilizing Geospatial Information System (GIS) applications and intelligence related automation to support analytical efforts and product development
  • Performs high level/expert imagery analysis, imagery product production, intelligence systems architecture and evaluation of procedures, processes, techniques, models and/or methodologies used to develop complex military imagery systems solutions to requirements
  • Maintained expert working knowledge of the discovery, analysis and exploitation of geospatially oriented data and the management of that data within a variety of Open Geospatial Consortium (OGC) compliant applications and databases.

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