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sr azure devops cloud engineer resume example with 7+ years of experience

Jessica
Claire
resumesample@example.com
(555) 432-1000,
, , 100 Montgomery St. 10th Floor
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Summary

Over 7 years of experience in the IT industry with a major focus on Cloud Provisioners (Azure, AWS), Continuous Integration and Continuous Delivery (CI/CD pipeline), Build and Release Engineer, and System Administrator.

Skills
  • Technical Skills
  • Languages
  • JAVA, python, YAML, XML, and Shell Script.
  • SCM Tools
  • Git, Subversion SVN, Bit-Bucket, Azure Repos
  • Build tools
  • Maven, Ant, Gradle.
  • CI/CD Tools
  • Jenkins, Bamboo, Hudson, Spinnaker, Azure DevOps Pipelines
  • Containerization Tools
  • Docker, Packer, Kubernetes.
  • Orchestration Tools
  • Chef, Ansible, Puppet, Kickstart, Kubernetes.
  • Servers
  • Apache Tomcat, Apache HTTP server, Nginx.
  • Issue Tracking Tools.
  • Jira, Remine, Service Now, Azure Boards
  • Monitoring tools
  • Nagios, Splunk, CloudWatch, ELK, Grafana, Dynatrace, Azure Monitor, Azure Analytical Workspace.
  • Infrastructure as code
  • Cloud Formation, Terraform, Azure Resource Manager (ARM), Azure CLI, Powershell
  • Cloud Technologies
  • AWS, Azure, GCP
  • Operating Systems
  • Windows, MacOS, Linux, CentOS, Ubuntu.
Education and Training
Troy University Troy, AL Expected in 12/2022 ā€“ ā€“ Master of Science : Computer And Information Sciences - GPA :
Experience
Compulink Management Center, Inc - Sr. Azure DevOps Cloud Engineer
Arlington, VA, 07/2022 - Current
  • Configured and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure Stack Including Compute, App Services, Blobs, Resource Groups, Azure Data Lake, HDInsight Clusters, Azure Data Factory, Azure SQL, and ARM Services and utilities focusing on Automation
  • Designed and Implemented Azure Site Recovery in both Disaster Recovery scenarios and for Migrating the workloads from On-Premises to Azure and Build SQL Data Sync job on Windows Azure to synchronize data from SQL Databases to SQL Azure
  • Implemented a (re)training a model by passing in hyperparameter value and the overarching takeaway to execute other types of jobs in Azure Databricks using Stream Sets Databricks Executor
  • Used Azure Service Fabric to build and manage scalable and reliable applications composed of microservices that run at high density on a shared pool of machines
  • Creating and Managing Virtual Machines in Windows Azure and setting up communication with the help of Endpoints
  • Configured Shared Access Signature (SAS) tokens and Storage Access Policies in Azure Cloud Infrastructure
  • Deployed Azure Kubernetes Service (AKS) cluster configured Azure CNI networking, Azure Internal standard Load balancer through Azure Resource Manager templates, and Azure DevOps YAML pipelines
  • Involved in setting up VPN Connections between individual servers and a Windows Azure virtual network using Azure point-to-site VPN Connectivity option and between the On-Prem Virtual Network and Azure Virtual Network using site-to-site VPN Connectivity
  • Deployed Azure PAAS stack which includes containerized App service hosted in App Service Environment, Key vault with private endpoints, and Service Bus to the development team for Node-based Application
  • Utilized Cosmos DB for a flash sale requirement, where the hits-per-second requirement is very high, where the application was storing the users and orders details from multiple regions
  • Set up Azure DevOps CI/CD pipelines for Micro-services on an AZURE cloud using Azure App services and Created Web Apps on an Azure Portal for deploying web applications
  • Implemented a unified infrastructure security management system (Azure Security Center) to strengthen the security posture of the data centers and to provide advanced threat protection across hybrid workloads in the cloud
  • Involved in setting up Azure Functions, created and configured HTTP Triggers in the Azure Functions with Application Insights for monitoring and performing the load testing on the Applications in QA and Pre-prod using Artifacts, Test Plans, and Release Pipelines in Azure DevOps
  • Written Terraform Reusable Modules to deploy the required infrastructure for applications in Azure on multiple environments such as development, test, and production environments
  • Modified existing Terraform Modules that had version conflicts to utilize cloud formation during Terraform deployments to enable more control or missing capabilities
  • Written Ansible playbooks to automatically install packages from a repository, change the configuration of remotely configured machines, and deploy new builds
  • Worked with Ansible to manage Web Applications, Config Files, Data Base, Commands, Users Mount Points, and Packages
  • Ansible to assist in building automation policies
  • Configured Kubernetes Replication Controllers to allow multiple pods such as Jenkins master server in multiple minions
  • Managed Kubernetes charts using Helm, managed Kubernetes Manifest files and created reproducible builds of the Kubernetes application
  • Provided consistent environment using Kubernetes for deployment Scaling and Load Balancing to the application from development through production, easing the code development and deployment pipeline by implementing Docker Containerization
  • Implemented ISTIO Service Mesh to decentralize application networking infrastructure that transparently enables applications to communicate securely and reliably, and also adds observability and traffic/policy control
  • Defined Ingress & Egress routing rules connecting external HTTP and HTTPS requests with internal services and individual pods using ISTIO, Configured default backend as part of the Ingress Controller
  • Utilized Azure DevOps master/slave architecture to distribute builds on nodes and trigger Azure DevOps job to build the Arti-facts using maven, and deploy the Terraform templates to create the stack
  • Implemented continuous integration using Azure DevOps
  • Configured security to Azure DevOps and added multiple slaves for continuous deployments, Used Bitbucket with Azure DevOps to integrate to automate the code checkout process
  • Configured Nexus as enterprise Artifactory solutions by writing Snapshot and released policies and Managed application deployments by integrating with Maven build cycles and applied Semantic versioning concepts to achieve stability across application releases
  • Checking systems error logs and Hardware logs
  • Server Monitoring using Splunk
  • Created custom Splunk, Dashboards, and reports to reduce user requests
  • Created a Branching and Merging strategy with multiple branches and used Bitbucket as a source code management repository to keep track of version changes
  • Used Jira to track the activities of tasks done by the developers and Confluence for documentation purposes.
Bigbear.Ai - Sr. AWS Cloud Engineer
Reston, VA, 07/2021 - 07/2022
  • Automated Serverless architectures like Lambda, and API Gateway and decoupled resources like SNS, SQS, Kinesis, and security services like KMS, and IAM using terraform and automated the mission-critical application deployments on to provisioned infrastructure and orchestrated using Cloud Watch and enterprise Splunk monitoring tools
  • Worked on AWS cloud to provision new instances, AWS S3 Storage Services, AWS EC2, and Cloud watch services and Created IAM policies for administration in AWS to assist type applications
  • Expertise in architecting and deploying fault-tolerant, Highly Available, Cost-effective, and secure servers in AWS
  • Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, and Python
  • Configured and deployed AWS Lambda service to run the code in response to events and automatically manage resources
  • Implemented Amazon RDS multi-AZ for automatic failover and high availability at the database tier and optimized the configuration of Amazon Redshift Clusters, Data Distribution, and Data Processing
  • Provisioned AWS EBS volumes to store Persistent Data and mitigate failure by using snapshots
  • Performed Data backup of AWS EBS volumes to AWS S3 by taking point-in-time snapshots
  • Created multiple AWS VPCs and Public, and Private Subnets as per requirement and distributed them as groups into various availability zones of the VPC
  • Implemented VPC Peering to establish a secure connection Between AWS Virtual Private Networks to access resources provisioned in different VPCs from the current VPC
  • Expertise in Blue/Green Deployments of the application to Production in AWS which allows us to switch seamlessly between them
  • Involved in Migration of on-prem Resources to Azure Cloud using Azure Site Recovery and Azure Express Route services
  • Implemented Azure Active Directory for single sign-on access to thousands of cloud SaaS applications like Office 365 and Dropbox
  • Also configured Azure Role-based Access Control (RBAC) to segregate duties within our team and grant only the amount of access to users that they need to perform their jobs
  • Automated provisioning of Hybrid solutions connecting Azure to on-prem resources via IAC, Azure Express Route, and Azure Hybrid Connections
  • Defined several Terraform Modules such as Compute, Network, Operations, and Users to reuse in different environments in AWS
  • Created Terraform Scripts to launch the platformā€™s common services like CI/CD tool JENKINS, Ansible, and Secrets Management Tool Vault
  • Created inventory, job templates, and scheduling jobs using Ansible Tower
  • Downloaded and managed Ansible Roles from Ansible Galaxy to automate the infrastructure
  • Implemented and designed AWS Virtual Servers by Ansible Roles to ensure deployment of web applications
  • Written Ansible Playbooks to provision Apache Web servers, Tomcat servers, Nginx, Apache Spark, and other applications
  • Designed and presented Container based delivery utilizing modern cutting-edge technologies such as Docker
  • Installed Docker Registry for local upload and download of Docker Images from Docker Hub and created Docker files to automate the process of capturing and using the images
  • Provided consistent environment using Kubernetes for deployment Scaling and Load Balancing to the application from development through production, easing the code development and deployment pipeline by implementing Docker Containerization
  • Configured the Kubernetes Provider with Terraform which is used to interact with resources supported by Kubernetes to create several services such as Deployments, Services, Ingress Rules, Config Map, Secrets, etc., in different Namespaces
  • Deployed containerized applications in Kubernetes using the concept of Config-Maps, Selector, Services and Ingress, Secrets, and Stateful Set
  • Involved in creating Jenkins CI Pipelines and automating most of the pipeline build-related tasks by deploying and validating the automated builds using Pipeline Groovy Scripts
  • Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins along with Python and Shell scripts to automate routine jobs
  • Configuring and managing an ELK Stack, set up ELK Stack to collect, search and analyze log files from across the servers
  • Evaluated system logs using ELK Software Stack
  • Designed an ELK system to monitor and search enterprise alerts
  • Installed, configured, and managed the ELK Stack for Log management within EC2 / Elastic Load balancer for Elastic Search
  • Experience in Integration of Prometheus with Grafana to Analyze and Visualize the backend data
  • Imported and managed various applications using GIT by configuring Git Repositories with branching, Tagging, and notifications
  • Proficient in deploying and administering GitHub
  • Generated reports using Redmine for creating projects, assigning permissions to users and groups for the project, and created mail handlers and notifications schemes for Redmine.
Flipkart - Build and Release Engineer
City, STATE, 08/2017 - 06/2021
  • Provided high availability for Azure IaaS VMs and Azure PaaS role instances for access from other services in the V-Net with Azure Internal Load Balancer
  • Designed and configured Azure Virtual Networks (V-Nets), Subnets, Azure network settings, DHCP Address Blocks, DNS Settings, security policies, and routing
  • Implemented Azure Automation Assets, Graphical runbooks, and PowerShell runbooks that will automate specific tasks, deployed Azure AD Connect, configured ADFS authentication flow, and ADFS installation using Azure AD Connect
  • Designed Network Security Groups (NSGs) in AZURE to control inbound and outbound access to Network Interfaces (NICs), VMs, and Subnets
  • Experience in creating Network Security Groups to filter the traffic to and from Azure Resources by configuring the Inbound and Outbound traffic rules and associating them with Subnet and Network Interfaces, creating Azure Key Vault to store Certificates, Secrets
  • Ensured Azure services beyond basic IaaS Functionality and Used Azure Resource Manager (ARM) to deploy, update, or delete all the resources for your solution in a single, coordinated operation
  • Extensively worked on Chef Roles, Cookbooks, Recipes, Templates, Resources, Attributes & Data bags
  • Proficient in the setup of Chef Servers, Workstations & Bootstrapping infrastructure Chef Nodes for configuration management
  • Written Chef Cookbooks for various DB Configurations to modularize and optimize product configuration
  • Configured the Weave Net such that it creates the Virtual Networks which connect Docker Containers to multiple hosts
  • Designed strategies for optimizing all aspects of the continuous integration, release, and deployment processes using container and virtualization techniques like Docker and Kubernetes
  • Focused on Containerization and Immutable infrastructure by using the docker community edition along with Kubernetes for automation
  • Configured and maintained Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds
  • Took the sole responsibility to maintain the CI Jenkins server
  • Configured the userā€™s account for continuous integration and created Upstream and Downstream jobs using build Pipeline in Jenkins
  • Configured SVN with Jenkins and scheduled periodic builds
  • Responsible for maintaining Version Control Repositories, User Management in Subversion (SVN)
  • Involved in Branching and Merging the code in Tortoise SVN
  • Experience in writing Jira API Tools to auto-move Service Desk tickets of one issue type to a Jira project of another issue type and to extract the list of Jira users with the respective Jira Groups and Project Roles.
Birla Soft - System Administrator
City, STATE, 07/2015 - 06/2017
  • Solid network and systems troubleshooting experience with HTTP\HTTPS, SFTP, FTP, NFS, SMB, SMTP, SSH, NTP and TCP/IP, Internet Security, and encryption
  • Worked on Installation, Configuration, and administration of DNS, LDAP, NFS, and NIS on REDHAT Linux/Debian Servers
  • Configured and managed ESX VMā€™s with the virtual center and VI clients
  • Performed troubleshooting on various real-time issues related to GRUB, Bootloader, and Kernel and dealt with hardware troubleshooting, storage management, and performance-related issues
  • Monitoring of network services (SMTP, POP3, HTTP, ICMP, SNMP, FTP, SSH) and host resources (processor load, disk usage, system logs) on a majority of network operating systems like UNIX, Linux, and Windows using Nagios
  • Resolve the tickets raised by the business users/customers on JAVA related, analyze the root cause, and assist in the efficient resolution on Rebate Sharing application production processes.
Additional Information
  • In-depth knowledge of various Azure Services like Compute (Web Roles, Worker Roles), Azure Security Center, Azure AKS, HDInsightā€™s/Databricks, Caching, SQL Azure, NoSQL, Azure Peering, Network services, Azure Active Directory, API Management, Azure Analytic Workspace, Event Hub, Logic App, Auto Scaling and Power Shell Automation. Handled Microsoft AZURE IaaS ā€“Virtual Networks, Virtual machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, and Application Gateways. Expertise in migrating the existing v1(classic) Azure infrastructure into v2 (ARM), Scripting and templating the whole end-to-end process. Migrated on-prem to Windows Azure by building Azure Disaster Recovery Environment, Azure Recovery Vault, and Azure Backups from the scratch using PowerShell. Proficient in using Microsoft Azure including Azure CLI, Azure Management, Azure Portal, Azure PowerShell, and Azure Management PowerShell Cmdlets. 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. Implemented Enterprise Integration Architecture using Azure Service Bus, Azure AppService, Azure Active Directory, Azure Storage, Azure Hybrid Connection Manager, Active Directory authentication for Azure SQL Server, and other offerings by Azure. Automated infrastructure provisioning for AWS core services such as Ec2, VPCs, Load Balancers, Internet Gateways, Security Groups, and platform services like Elastic Beanstalk, ECS, Fargate, and Auto Scaling Group. Constructed AWS CloudFormation templates to create custom-sized VPC, subnets, EC2 instances, ELB, and Security groups. Efficiently implemented tagging standard for proper identification and ownership of AWS EC2 instances and other AWS Services like Cloud Front, RDS, S3, Route53, SNS, SQS, and Cloud Trail and Worked on Simple Storage Service (S3), Simple Notification Service (SNS) and CloudWatch. Utilized Cloud Watch to monitor resources like EC2, CPU memory, Amazon RDS DB services, and EBS volumes to set alarms for notification or automated actions to monitor logs for a better understanding of the operations. Provisioned immutable Infrastructure through Terraform which includes multiple Virtual Machines, Databases, and Blob storage. Expertise in integrating Terraform with Ansible, and Packer to create and Version the Azure Infrastructure, designing, automating, implementing, and sustaining Azure VM Images across the Azure Cloud environment. Experienced in Configuring the updates, changes, and integrating the servers with different environments and creating new machines using configuration management/provisioning tools like Chef, Ansible, and Puppet. Worked on Docker to containerize the Application and all its dependencies by writing Docker files, Docker-Compose files, Docker Container Snapshots, and managing Docker volumes. Expertise in App Containerization technology Docker, creating Docker Images, Containers, Docker Registry to store images, Cloud-based registry Docker Hub and Kubernetes Services such as ISTIO Service Mesh, Flux, and ISTIO. Implemented the concept of storage class and deployed Postgres database as a Stateful Set into Kubernetes Cluster. Development of automation of Kubernetes Clusters via Playbooks in Ansible. Approached Continuous Deployment as GitOps that leverages Git as a single source of truth for declarative infrastructure and applications, providing both revision and change control using Flux. Expertise in all areas of setting up CI for new branches, Build automation, Plugin management, Securing Jenkins, and setting up Master/Slave Configurations. Expertise in building Jenkins jobs to create Azure Infrastructure by pulling Terraform code from GitHub repositories, ability to work closely with teams, to ensure high quality, timely delivery of builds & releases. Expertise in using monitoring servers like Nagios, Splunk, Grafana, Dynatrace, and CloudWatch for Resource & Network Monitoring and ELK, and EFK for Log Trace Monitoring. Proficient with version control tools such as GIT, Subversion (SVN), and Bitbucket wherein experienced with Tagging, and Branching on platforms like Linux and Windows. Experience in different Issue Tracking Tools like Redmine, Jira, and ServiceNow. Designed, deployed, and coordinated with different teams to enhance the ELK platform and took ownership of new technologies. Experienced in the system builds, server builds, installation, upgrades, backup, performance monitoring, and reliability of various flavors of Linux like Ubuntu, CentOS, RedHat Linux, Debian, Fedora and SUSE, UNIX (Solaris, IBM AIX) along with Windows. Exposed to all aspects of the Software Development Life Cycle (SDLC) and In-depth understanding of the principles. Good understanding of the principles and best practices of Software Configuration Management (SCM) in Agile and SAFE Methodologies.

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Resume Overview

School Attended

  • Troy University

Job Titles Held:

  • Sr. Azure DevOps Cloud Engineer
  • Sr. AWS Cloud Engineer
  • Build and Release Engineer
  • System Administrator

Degrees

  • Master of Science

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