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Sr. Azure Cloud Engineer Resume

Chevy Chase, MD

SUMMARY

  • Around 8+ years of experience in automation, configuration and deployment onCloudenvironments, Identifying and selecting services inAWS Cloud and AZURE CloudInfrastructure such as IAAS, PAAS and SAAS.
  • A competent professional with over 7+ years of rich experience in Compute Infrastructure Management and Confidential Azure Cloud (IAAS & PAAS).
  • Extensive experience in the design and implementation of Continuous Integration, Continuous Delivery, Continuous Deployment and DevOps processes for Agile projects, working with technologies and platforms including Java, Jenkins, Subversion, GIT, Oracle, UNIX / Linux, VM Ware, Docker, Vagrant, Chef, Puppet, AWS.
  • Experience in Installation, configuration, tuning, security, backup, recovery, and Operating System upgrade on Red Hat Linux (RHEL 5, 6), Unix, Centos and Ubuntu .
  • Experience in configuring, deployment and support of cloud services including Confidential Web Services(AWS).
  • Strong knowledge and experience on Confidential Web Services (AWS) Cloud serviceslike EC2, S3, EBS, RDS, VPC,andIAM.
  • Designed and managed public/private cloud infrastructures using Confidential Web Services (AWS) which includeEC2, S3, Cloud Front, Elastic File System,RDS, VPC, Direct Connect, Route53, Cloud Watch, Cloud Trail, Cloud Formation,and IAM which allowed automated operations.
  • Hands on experience with Confidential Azure Cloud services, Storage Accounts and Virtual Networks
  • Experienced in Provisioning of IAAS & PAAS Virtual Machines and Web\Worker roles on Confidential Azure Classic and Azure Resource Manager.
  • Experienced in migrate an On - premises Instances or Azure Classic Instances to Azure ARM Subscription with Azure Site Recovery.
  • Experience in Azure Fabric Services.
  • Experience in full Software Development Life Cycle (SDLC) that includes Analyzing, Designing, Coding, Testing, implementation & Production Support as per quality standards using Waterfall, Agile methodology.
  • Experience on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites, Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and Power Shell Automation
  • Deployed Cloud Front to deliver content further allowing reduction of load on the servers.
  • Created IAM policies for delegated administration within AWS and ConfigureIAM Users / Roles / Policiesto grant fine - grained access to AWS resources to users.
  • Improved infrastructure design and approaches of different projects in the cloud platform Confidential Web Services (AWS) by configuring the Security Groups, Elastic IP's and storage onS3Buckets.
  • Customized Confidential Machine Images (AMIs) & deployed these customized images based on requirements.
  • Configured and managed Elastic Load Balancing (ELB), to avoid single point of failure of applications, thus providing high availability and network load balancing.
  • Monitoring resources and Applications using AWS Cloud Watch, including creating alarms to monitor metrics such asEBS, EC2, ELB, RDS, S3, SNSand configured notifications for the alarms generated based on events defined.
  • Able to effectively communicate with wide range of clients and coworkers.
  • Capable of quickly learning and delivering solutions as an individual and as part of a team.

TECHNICAL SKILLS

Cloud Computing: Confidential Azure (IAAS, PAAS, SAAS).

Confidential Azure: Networking (VPN, Express route, UDR, NSG, Load Balancer, Firewalls), Compute, Storage, Azure Active Directory, OMS, Azure Site Recovery, Azure Backup, Azure API, Azure Services, SAN, NAS, SCOM, SCCM, Azure Security Center, Azure Monitoring and RBAC.

AWS Cloud Tools: EC2, Elastic Load-balancers, Elastic Container Service (Docker Containers), S3, Elastic Beanstalk, Cloud Front, Elastic File System, RDS, Dynamo DB, DMS, VPC, Direct Connect, Route53, Cloud Watch, Cloud Trail, Cloud Formation, IAM, EMR ELB, RDS, AM

Operating System: Windows, Linux, Unix, Mac OS X. (VMware and HyperV).

DevOps Tools: Jenkins, Docker, Kubernetes, Chef.

Automation Tools: Ansible Playbooks, PowerShell Playbooks, Azure CLI.

Azure Developing Tools: PowerShell, Ansible, Azure CLI, Azure ARM Portal.

Databases: MYSQL, MS SQL. Oracle.

Web Servers: IIS, HTTP Web Server, Apache Tomcat, WebLogic Application Server.

PROFESSIONAL EXPERIENCE

Sr. Azure Cloud Engineer

Confidential, Chevy Chase, MD

Responsibilities:

  • Building and Installing servers through Azure Resource Manager Templates or Azure Portal.
  • Migrating an On-premises virtual machine to Azure Resource Manager Subscription with Azure Site Recovery.
  • Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Portal.
  • Security Patching on the Azure IAAS VMs through the Shavlik Patching Tool
  • Solutions Consultant responsible to be primary SME on Azure services including DRaas, SaaS, PaaS and IaaS while contributing architecture decisions and tasks for ongoing migration efforts.
  • Responsible to develop services using .NET/C# code and Web API technology (Restful API)
  • Manage the Windows Azure infrastructure for our customers depends on their requirement.
  • Worked on Confidential Azure Storage - Storage accounts, blob storage, managed and unmanaged storages.
  • Implemented Barracuda Next Gen Firewall to flow all the traffic from two regions virtual networks.
  • Worked on Barracuda Admin terminal implementing Access rules and controlling traffic through all the regions.
  • Worked on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites, Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and PowerShell Automation.
  • Worked on Load balancers (Internal & External), DNS.
  • Worked on ADFS and sso - Active Directory Federation Services for On premise and Azure Cloud Active Directory.
  • Worked Hands on with Azure MFA (Multi Factor Authentication) Servers and Phone factors for 2 step Security.
  • Actively worked on deploying VM's, Virtual Networks, Gateways and Next Gen Firewalls.
  • Collaborate to development of main Web Application to provides invoicing emission services,
  • Responsible of web application deployments over cloud services (web and worker roles) on Azure, using VS and PowerShell.
  • Hands on experience on Backup and restore Azure services.
  • Involved in creating the Azure Services with Azure Virtual Machine.
  • Involved in developing the Azure Solution and Services like IaaS and PaaS.
  • Deployed Azure resource manager-based resources.
  • Working experience with TFS/VSTS, Jenkins, Git, Jira, Ansible, Docker, ELK, Nexus, Sona Qube, Ansible.
  • Web Services experience with Apache, Nginx, and RESTful APIs
  • Implemented Active Directory in Windows server 2012.
  • Identifying opportunities to improve infrastructure that effectively and efficiently utilizes Office 365 and the Confidential Azure Windows server 2008/2012/R2, Confidential SQL Server, Confidential Visual Studio, Windows PowerShell, Cloud infrastructure.

Environment: Confidential Azure Cloud, Windows Server 2012/R2/2016, Windows PowerShell, Confidential Azure Storage, NSG, IIS, Agile Scrum Methodologies.

Sr. AWS Cloud Engineer

Confidential, Minneapolis, MN

Responsibilities:

  • Build and configure a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.
  • Continuously managed and improved the build infrastructure for global software development engineering teams including implementation of build scripts, continuous integration infrastructure and deployment tools.
  • Leveraged AWS cloud services such asEC2, auto-scaling andVPCto build secure, highly scalable and flexible systems that handled expected and unexpected load bursts.
  • Manage amazon redshift clusters such as launching the cluster and specifying the node type as well.
  • UsedAWSBean Stalk for deploying and scaling web applications and services developed with Java,PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache, andIIS.
  • DesignedAWSCloud 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 inAWScloud.
  • Setup and buildAWSinfrastructure various resources,VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, andRDSin Cloud FormationJSONtemplates.
  • Provide highly durable and available data by usingS3data store, versioning, lifecycle policies, and createAMIsfor mission critical production servers for backup.
  • Maintained the user accounts(IAM), RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS servicesinAWS cloud.
  • Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.
  • Defined branching, labeling, and merge strategies for all applications inGit.
  • Built Continuous Integration environment Jenkins and Continuous delivery environment.
  • Advisor onGroovytechnologies includingGroovy, Grails, Gradle, Geb and their integration with the J2EE ecosystem.
  • Developed Automated BVT regressions for Payment, Risk, Transaction Services and MBA.
  • Developed a GrailsRESTAPI Architectureand used it to implement an API with Spock for submitting Test Jobs to an Automated Jenkins Farm and Selenium Grid.
  • Automated Gradle/Groovyto test 18 Jenkins Master\Slaves and a Selenium Hub with 9 Node servers running 12 browsers across 2 platforms for Java and .Net.
  • Utilized Configuration Management Tool Chef & created Chef Cookbooks using recipes to automate system operations.
  • Build servers usingAWS, importing volumes, launchingEC2,RDS, creating security groups, auto-scaling load balancers (ELBs) in the defined virtual private connection.
  • Deployed applications onAWSby using Elastic Bean Stalk
  • Integrated delivery (CI and CD process) Using Jenkins and puppet.
  • Configured plugins for the integration tools to the version control tools.
  • Manage source code, software builds, software versioning, & defect tracking on software maintenance tasks/projects
  • UsedANTandMAVENas a build tool on java projects for the development of build artifacts on the source code.
  • ManageAWSEC2instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers forGITandChef.
  • Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain,SVN/GITwithDev/Test/ProdBranching Model for weekly releases.
  • Created monitors, alarms and notifications for EC2hostsusing Cloud Watch.
  • Involved in importing the real-time data to Hadoop usingKafkaand implemented the Oozie job for daily
  • Migrated applications to the AWS cloud.
  • Involved in DevOps processes for build and deploy systems.
  • Created Python scripts to totally automate AWS services which includes web servers, ELB, Cloud front distribution, database,EC2and database security groups, S3 bucket and application configuration, dis script creates stacks, single servers, or joins web servers to stacks.
  • Grasp the Technical aspects from High level to create Deployment plans, Contingency Plans and which direction to go if they hit a snag.
  • Planned release schedules with agile methodology & coordinated releases with engineering &SQAfurtively delivery.
  • Troubleshoot the automation of Installing and configuring applications in the test environments.

Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), VDI, Linux, Git version Control, VPC, AWS EC2, S3, Route53, EBS, IAM, ELB,Groovy,Kafka, Cloud watch, Cloud Formation,AWS CLI,AWS Auto Scaling, Maven, Subversion, Jenkins, Unix/Linux, Shell scripting.

Azure Cloud Engineer

Confidential, Seattle, WA

Responsibilities:

  • Moderate and contribute to the support forums (specific to Azure Networking, Azure Virtual Machines, Azure Active Directory, Azure Storage) for Confidential Developers Network including Partners and MVPs.
  • Provide consulting and cloud architecture for premier customers and internal projects running on MS Azure platform for high availability of services, low operational costs.
  • Handle escalated Support tickets till closure for MS Azure PaaS platform.
  • Deploying and managing applications in Datacenter, Virtual environment and Azure platform as well.
  • Migrated SQL Server 2008 database to Windows Azure SQL Database and updating the Connection Strings based on dis.
  • Migrated moderate workloads from on premise to Azure laaS. Published web services APIs using Azure API management service.
  • Following Scrum methodology to track the project details and updating the development status every day in the SCRUM.

Environment: Confidential Azure Cloud, SQL Server 2012 R2, SSMS, Azure, Web Apps, Active Directory, NSG, Traffic Manager, Azure SQL Database, Azure AD.

AWS Cloud Engineer

Confidential, Jersey City, NJ

Responsibilities:

  • Design, development, and implementation of Cloud solutions.
  • Work with team to design, build, automate and document a multi-tiered managed services platform
  • Managed end user accounts, permissions, access rights, and storage allocations in accordance with best practices.
  • Provided Consultation for Troubleshooting in Virtualization, SAN Configuration, Active Directory group policy design & Implementation and ESXi Distributed switch Network Configuration
  • Provided Technical Recommendations for Installation and Implementation of Virtual Environments in Industrial Plants. Identified Administrative Standards, Issues and Process Improvements
  • Anticipate, mitigate, identify, troubleshoot, and correct hardware and software issues on servers, and workstations. Escalated incidents as necessary.
  • Performed software and hardware upgrades, patches and reconfigurations on all physical and virtual servers.
  • Maintained VM templates for building servers in the virtual environment.
  • Created new VM templates for several Operating Systems with all the recommended and required settings for optimum performance and efficiency.
  • Involved in several hundreds of physical to virtual migration or conversion process on a day-to-day basis.
  • Created resource pools and VM folders as required and allocated the memory reservations and CPU shares based on the business requirements and VM performance.
  • Demonstrated proficiency in Network Administration in large datacenter environment - DNS/DHCP, Load Balancing (F5 Networks, AWS ELB), Firewalls (Cisco Systems, Juniper Networks), IDS/IPS, IPSEC VPN)
  • In-depth knowledge of and experience implementing dynamic IP routing protocols (BGP, OSPF, EIGRP, MPLS)
  • Network latency analysis, performance monitoring and troubleshooting skills
  • Participate in the software development life cycle to ensure sound Cloud solutions are implemented.
  • Participate in planning, implementation, and growth of our customer's Confidential Web Services (AWS) foundational footprint.
  • Work closely with our architects and engineers to recommend and design database or data storage solutions that effectively reflect our business needs, security, and service level requirements
  • Work with application and architecture teams to conduct proof of concept (POC) and implement the design in production environment in AWS
  • Proficient with deployment and management of AWS services - including but not limited to: VPC, Route 53, ELB, EBS, EC2, S3
  • Automation scripting ability (Bash/Shell, Python)
  • Enterprise scale networks within cloud environment delivering SaaS solutions
  • Manage multiple projects simultaneously can adapt to changing business needs
  • Work well with cross functional global and remote teams
  • Network health monitoring tools (Cloud Watch, Solar Winds, Logic Monitor)
  • Work with our current application teams to understand our current applications and make migration recommendations and to-be architectures in AWS
  • Review coding done to advance application upgrade, extension, or other development. Analyze application for data integrity issues.
  • Work with team to build out automation templates in Fugue or AWS Cloud Formation in support of the managed services platform
  • Assist with the installation and configuration of a cloud management platform per the requirements of the respective services
  • Write and implement the respective IAM policies as required per the respective services
  • Assist with the product evaluation, selection and implementation for respective managed services that require 3rd party products to support
  • Assist with the establishment of the platform Service Desk
  • Mentor less experienced technical staff: may use high end development tools to assist or facilitate development process.
  • Development of automated solutions to monitor and support our software development and release processes.
  • Lead delivery team, post release to production.

Environment: Linux, VMware, Shell, Perl, IAM, S3, EBS, EC2, Cloud Watch, Cloud Formation, Workspaces, Ivanti Heat patching tool, Puppet, Docker, Chef, GIT, GitHub, Maven, Jenkins, TOMCAT 7/8, Java Scripts, Ruby Scripts, XML, Unix, MS Word, Excel, Office365.

Azure Cloud Engineer

Confidential, Secaucus, NJ

Responsibilities:

  • Built Azure environments by deploying Azure IaaS Virtual machines (VMs) and Cloud services (PaaS)
  • Designed Client/Server telemetry adopting latest monitoring techniques
  • Collaborate with development and QA teams to maintain high-quality deployment
  • Configured Scalearc for SQL server database load balancing
  • Worked on Azure Active Directory
  • Designed Database HA solutions using SQL 2014 AOAG, Mirroring and Replication to build the high availability solutions.
  • Infrastructure Migrations: Drive Operational efforts to Migrate all CPS services to a fully Virtualized Infrastructure, reduced the infrastructure cost.
  • Cloud Migrations: Perform Service migrations like lift and push on On-Perm and Azure servers reducing server and maintenance cost
  • Data Migrations: Drive operational efforts for data migrations onboarding new community tenants like (Nokia, Office365 for business, XBOX, etc)
  • Developed automation solution using PowerShell scripting for day-to-day operational tasks
  • Performed leadership activities in managing and driving Offshore operational efforts

AWS Cloud / LINUX Engineer

Confidential, Saltlake City, UT

Responsibilities:

  • Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups and Cloud Formation Templates.
  • Setup S3 buckets for Artifact management and Storage of batch files for multi cluster batch application.
  • Migrated on Premise MySQL database to Multi Availability Zone RDS instances.
  • Configured Elastic Load Balancers with EC2 Auto scaling groups.
  • Experience working with Puppet Enterprise and Puppet Open Source. Installed, configured, upgraded and managed Puppet Master, Agents & Databases. Integration of Puppet with Apache and Passenger.
  • Setup Chef Server, workstation, client and wrote scripts to deploy applications.
  • Developed Chef Recipes to configure, deploy and maintain software components of the existing infrastructure.
  • Worked closely with the development and operations organizations to implement the necessary tools and process to support the automation of builds, deployments, testing and infrastructure (infrastructure as code) using Chef.
  • Created customized AMIs based on already existing AWS EC2 instances by using create image functionality, hence using dis snapshot for disaster recovery.
  • Worked on AWS cloud watch for monitoring the application infrastructure and used AWS email services for notifying & configured S3 versioning and lifecycle policies to and backup files and archive files in Glacier.
  • Automated CI/CD process using Jenkins, build-pipeline- plugin, maven, GIT.
  • Involved in Software Configuration Management, Build & Deployment Management.
  • Extensive experience in deploying and debugging of deployments to Web sphere, Tomcat.
  • Create documents on build process and flow, build script maintenance, user guide for developers for local builds
  • Managed multiple patch releases by working closely with QA team and development teams.
  • Set up Jenkins’s master/slave to distribute builds on salve nodes.

Environment: Puppet, Apache, VPC, NAT, LAMP, AWS - EC2, S3, Route 53, CLOUDWATCH, REDSHIFT, ELB, EBS, DYNAMODB, AMI, Go Lang, Load balancer, Auto Scaling, SVN, GITHUB, Docker, JIRA, MAVEN, Jenkins, Bugzilla.

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