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Sr. Aws/devops Engineer Resume

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Reston, VA

PROFESSIONAL SUMMARY:

  • Over 8 Years of hand - on experience and detailed technical knowledge on DevOps Management and System Engineering.
  • Extensive Experience in Automating, configuring, and deploying instances on cloud environments and Data centers. Experience in the areas of DevOps with AWS, CI/CD Pipeline, Build and release management and Experience in Infrastructure Development and Operations involving AWSCloud platforms, EC2, EBS, S3, VPC, RDS, SES, SNS, SQS, ELB, Autoscaling, CloudFront, CloudFormation, Elastic Cache, CloudWatch, OCTOPUS.
  • Managing ongoing updates and configuration changes to AWSenvironments using deployment. Automationtools such as Jenkins alongside chef and terraform
  • Comprehensive experience in the design and implementation of Continuous Integration, Continuous Deployment, Continuous Delivery and DevOps Operations for Agile projects, working with technologies and platforms including UNIX/Linux, Java, Subversion, GitHub, Ant, Maven, Jenkins, VMware, AWS, Ansible, ELK, Microsoft Azure, Git, Chef, Puppet, VSTS, TFS, Vagrant, Docker, Tomcat.
  • Experience in using AWS EC2, S3, AWS Route 53, AWS Cloud Trail, AWS Cloud Watch, AWS Glacier, AWS Identity and Access Management, AWS Elastic Load Balancers (ELB).
  • Managed Amazon Web services like EC2, S3 bucket, RDS, EBS, ELB, VPC, Auto-Scaling, IAM, Route 53, through AWS Console and API Integration with Ansible Playbooks and Puppet manifests.
  • Worked with Terraform for automating AWS FarGate, VPCs, ELBs, security groups, SQS queues, S3 buckets, and continuing to replace the rest of our infrastructure.
  • Experience in Network LAN/WAN deployments, including IP addressing and troubleshooting and understanding of networking concepts, configuration of networks, router configuration and wireless security, TCP/IP, VPN, content filtering, VLANs, and routing in LAN/WAN, Ethernet Port and Networks.
  • Excellent interpersonal skills, proven strength of troubleshooting, hardworking, and interacting with delivery team every day.
  • Used Jenkins pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
  • Have a good experience in writing automations using Python and Shell based scripting.
  • Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.
  • Experience in writing Terraform scripts for AWS infrastructure and defined AWS infrastructure as code by making use of various Terraform AWS modules to create VPC, subnets, EC2 instances, security groups, key pairs and IAM.

TECHNICAL SKILLS:

Operating System: RHEL 4/5/6/7, Ubuntu 12.04/14.04 , SLES 10/11, Solaris 11/10/9/8, IBM AIX (5.1, 5.3), Windows NT 4.0/2000/2003/ XP/7, Window Server 2003/2008/2012 , UNIX/Linux.

Hardware: Sun Enterprise E 5000/5500/6500 , Sun Fire 3800/4800/6800 , E10K/15 Series server, T Series, M Series Servers, HP-9000, rx8640, rp7420, rp8420, N-Class, L-Class, D-Class, K-Class, IBM eServer Regatta P690, P570, RS6000, IBM/HP/ Confidential Blade Servers.

Monitoring: Splunk, Kibana

Cloud: AWS EC2, AWS Glacier, AWS Identity and Access Management, AWS Cloud Trail and AWS Cloud Watch, AWS Load Balancer, Azure, Mesos, Octopus.

DevOps Tools: Jenkins, GIT, Docker, Kubernetes, Art factory, maven, Jira, Full stack Jet Brains Team City, configuration Management tools such as Ansible, Kafka, OpenShift.

AWS Services: AWS EC2, AWS Glacier, AWS Identity and Access Management, AWS Cloud Trail and AWS Cloud Watch, AWS Load Balancer, KMs and Open Stack Services such as Nova, Swift, Cinder, Glance, Neutron etc.

Programming Languages: Shell Scripting, python, Java, C, C++, C#, HTML, CSS, PHP, TCP/IP. HTTPS.

PROFESSIONAL EXPERIENCE:

Confidential, Reston, VA

Sr. AWS/DevOps Engineer

Responsibilities:

  • Vast experience in setting up enterprise infrastructure on Amazon Web Services (AWS) including EC2, ELB, EBS, S3, Auto - Scaling, AMI, RDS, IAM, Cloud Formation, VPC, Code Deploy, Elastic Beanstalk, CloudWatch, Cloud Trial etc.
  • Core team member of SPARC and EBRMSC Build and Deployment Team.
  • Automated OpenStack and AWS deployment using Cloud Formation, Ansible and Terraform, also deployed and administered Open stack services.
  • Worked on Terraform for deploying infrastructure in AWS as per the requirement.
  • Involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services and provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.
  • Worked on Docked-Compose, Docker-Machine to create Docker containers for testing applications in the QA environment and automated the deployments, scaling and management of containerized applications across clusters of hosts.
  • Worked with Docker on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud.
  • Responsible for implementing monitoring solutions in Ansible, Terraform, Docker, and Jenkins.
  • Build terraform scripts from scratch for building Dev, Staging, Prod and DR environments.
  • Implement and maintain the monitoring and alerting of production and corporate servers/storage using AWS CloudWatch, Prometheus Grafana.
  • Performed all Linux operating system, disk management and patch management configurations, on Linux instances in AWS
  • Performed troubleshooting for connectivity issues, configured the Load Balancers and VPC with private subnets.
  • Modified and updated stack and tracked changes in infrastructure using by using custom Cloud Formation scripts and maintained them in GIT.
  • Update S3 bucket policy only to authorized users to access to the IAM role and cross region access rule permission. Implement new bucket policies in production and validate results using cloud watch logs.
  • Implemented a 'server less' architecture using API Gateway, Lambda and DynamoDB and deployed AWS Lambda code from Amazon S3 buckets.
  • Configured Urban Code Deploy for CI/CD process with the automatic phase gates and approval required.
  • Configured deploy jobs using Urban Code deploy for Tomcat deployment.

Environment: Linux, EC2, ELB, Nagios, Nginx, Cloud Formation, Chef, AWS, Terraform, Jenkins, Maven, Ant, GIT, Docker, Apache, MySQL, Python, Ansible, Urban Code.

Confidential, Irving, TX

Sr. Platform Engineer

Responsibilities:

  • Core team member of IEM (Implementation and Environment Management “Build and Deployment Team”)
  • Game planning and Execution of Deployment activities for all the environment - Production and Non-Production.
  • CR/ECR, BCP planning and execution.
  • UCD, Middleware teams Engagement and coordination with various downstream across functions teams.
  • Process and Governance- Jira Execution model, Building projects and dashboarding for JIRA projects etc.
  • Renewing SSL certificate and managing its responsibilities in Venafi.
  • Coding and helping UiPath RPA automation with Studio X and Studio.
  • Helping the teams with Confluence Wiki documentation on day-to-day activities.
  • Participated in the core activities with the other team members.
  • Imaging and Document Management of the major projects involved in functions and resources more than 50% of the time with teams.
  • Used ANT and Python Scripts to Automate the Build and Deployment Process to the Web Services. Used Service deploys command for building the Web Services. Used Maven for a few Modules.
  • Monitoring each Service Deployment and validating the Services across all Environments.
  • Experience in opening PMR and working with IBM Lab Team to get the Solution and Implement them in all Environments.
  • Created Performance Monitoring Best Practice Document and posted in Microsoft SharePoint Website.
  • Worked in Cross-Platform Environments like UNIX and Windows.
  • Prepared the Release Plan Document for all the Production Releases such as Rollback Plan or Back Out Plan, Implementation Plan and Test Plans.
  • Getting Approvals from all the Managerial Group, Quality Assurance Group and Deployment Group, which are included in the HPService Management System Ticketing Tool for all the Production Releases.
  • Installed Workstation, Bootstrapped Nodes, Wrote Recipes and uploaded them to Chef-server, managed On-site OS, Applications, Services and Packages using Chef.
  • Developed Chef Cookbooks to manage systems configuration, achieve automation for middleware installation, environment readiness and deployment activities
  • Experience in setting up the Chef repo, Chef workstations and Chef nodes.
  • Deployed and configured Chef Server including bootstrapping of Chef Client nodes for provisioning. Written Chef Cookbooks for various DB configurations to modularize and optimize end product configuration, converting production support scripts to Chef Recipes and AWS server provisioning using Chef Recipes.
  • Identified Configuration Items (CI) and documented their characteristics. After every Deployment, deliver the Release Notes on SharePoint site.
  • Experience in managing Source Control Systems like Harvest, BitBucket and GIT.
  • Used Build Forge to automate and accelerate the Build Release Process. This includes repetitive tasks in productivity development life cycles.
  • Responsibility to monitor the ITIL Service Delivery via Process Mapping Audits and Designing the Procedure.
  • Experienced in writing Chef Recipes to automate our build/deployment process and do an overall process improvement to any manual processes.
  • Used Chef to Configure and manage Infrastructure. Wrote cookbooks to automate the configuration setups.

Environment: GIT and Perforce, Maven, Ant, TFS, Python, WebSphere, Tomcat, SVN, Jira, Junit, Service Deploy, SOAPUI, .NET MVC 4.5, Studio X, Studio, Venafi.

Confidential, Southlake, TX

DevOps / Cloud Engineer

Responsibilities:

  • Designed, built, and deployed a multitude application utilizing the AWS stack (Including EC2, Route53, S3, RDS, SNS, and IAM), by focusing on high-availability, fault tolerance, and auto-scaling.
  • Experience involving configuring S3 versioning and lifecycle policies to and backup files and archive files in glacier.
  • Defined and managed a well-defined project management process, scheduling and ongoing process improvement initiatives to implement best practices for Agile Project Management.
  • Responsible for building AWS infrastructure VPC, EC2, S3, IAM, EBS, Auto scaling and RDS in cloud formation using JSON templates.
  • Team player on OpenShift for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside.
  • Developed microservices in Scala with Apache Kafkato stream data across multiple systems.
  • Collaborating continuous integration system with GIT version control repository.
  • Configuring CI/CD tools using Blue - Green deployment methodology.
  • Experience working on several Docker components like Docker Engine, Docker Hub, Docker Machine, Docker Swarm and Docker Registry.
  • Utilized Kubernetes to integrate with Docker container for creating pods, configmaps and deployments.
  • Used Kubernetes to deploy scale, load balance, and manage Docker containers with multiple name spaced versions.
  • Involved experience working AWS command line client and management console to interact with AWS resources and APIs.
  • Configured Jenkins pipeline jobs and templatized workflows to improve reusability for building pipelines.
  • Responsible for supporting and troubleshooting AWS Pipeline deployments
  • Installing the applications on AWS EC2 instances and configured the storage on S3 buckets using Bootstrap Scripts.
  • Created automated Stack driver monitoring alerts using Terraform on GCP(Google cloud platform)
  • Implemented and maintained the monitoring server’s performance, CPU utilization and alerting of production and corporate servers/storage using AWS CloudWatch.
  • Worked on Docker, OpenShift to manage microservices for development and point team player on OpenShift for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside.
  • Created automated Stack driver monitoring alerts using Terraform on GCP(Google cloud platform).

Environment: AWS, EC2, Route53, S3, RDS, SNS, IAM, VPC, EBS, Kafka, VMWare, Auto scaling, GIT, Jenkins, Docker, OpenShift, Shell, Json, CloudWatch, Python.

Confidential, Irving, TX

DevOps / Cloud Engineer

Responsibilities:

  • Extensively worked on configuring and maintaining continuous integration (CI) and End to End automation for all build and deployments.
  • Analyzing in working with Ansible, wrote many playbooks to manage Web applications, Environments configuration Files, Users, Mount points and Packages.
  • Experience with Microsoft Azure, Azure Resource Management templates, Virtual Networks, Storage, Virtual Machines, and Azure Active Directory.
  • Responsible for migrating from Staccato platform to OpenShiftcontainerized platform and DAT in for their maintenance, troubleshooting, disk management, their availability and different applications running on them.
  • Drive end to end deployment of various Components on the Azure Platform.
  • Managing IAM accounts (with MFA) and IAM policies to meet security audit & compliance requirements.
  • Used Auto scaling and Elastic Load Balancer features on EC2 instances to serve the end users using applications during unexpected traffic/demand.
  • Configuring IAM roles for EC2 instances and assigns them policies granting specific level access to S3 buckets.
  • Automating the OpenShift cluster installation using Ansible playbooks.
  • Responsible for building components to connect to other micro-services using Kafka streams.
  • Setting up private networks and subnetworks using Virtual Private cloud (VPC) and creating security groups to associate with the networks.
  • Documented and implemented Rational Tools Upgrade Plan.
  • Having experience working under Agile Methodology which combined daily Scrum stand up meeting and Sprints.
  • Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Git.
  • Branching, Merging, Release Activities on Version Control Tool GIT. Used GitHub as version control to store source code and implemented Git for branching and merging operations for Java Source Code.
  • Designed and deployed scalable, highly available, and fault tolerant systems on AWS and developed programs using Python, Shell
  • Used CI tools like Jenkins, Maven build tool.
  • Managed multiple AWS accounts with multiple VPC's for both production and nonproduction where primary objectives included automation, build out, integration and cost control.
  • Designed AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.
  • Used Amazon Route53 to manage DNS zones and also give public DNS names to elastic load balancers IP's.
  • Used CloudFront to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers.
  • Used Python scripts to update content in the database and manipulate files.
  • Used Python for creating graphics, data exchange and business logic implementation.

Environment: Jenkins, Linux, UNIX, AWS, Azure, GitHub, Maven, Git, Kubernetes, Agile, Ansible, Artifactory, Kibana, Python, Shell Scripting, Kafka.

Confidential, Atlanta, GA

DevOps / Cloud Engineer

Responsibilities:

  • Implemented a continuous deployment (CD) pipeline involving Jenkins, Chef to complete the automation from commit to deployment.
  • Built and Deployed Java/J2EE to Tomcat Application servers in an agile continuous integration process and automated the whole process using Maven.
  • Worked with various components of Chef including Chef Server, workstations, Nodes, configurations of chef-client and writing recipes for Chef and assigning roles to nodes.
  • Worked on Chef for IaaS configuration by writing cookbooks and recipes to automate the actions for virtual and remote resources and nodes.
  • Designed and implemented Continuous Integration system: configuring Jenkins servers, nodes, creating required Python scripts as well as bash scripts to create/configure Linux VMs.
  • Implementing a Continuous delivery pipeline with Docker, Jenkins and GitHub.
  • Worked on creation of Docker containers and Docker consoles for managing the application life cycle.
  • Converted numerous existing Java projects to a single deployment method using ECS Docker Containers.
  • Implemented Docker containers and created clients respective Docker images and leveraged Apache Mesos to manage Cluster hosts for Applications
  • Managing the OpenShiftcluster that includes scaling up and down the AWS app nodes.
  • Had very strong exposure using ansible automation in replacing the different components of OpenShiftlike ECTD, MASTER, APP, INFRA, Cluster.
  • Configuring the Docker containers and creating Docker files for various applications
  • Integrated the Docker containerized applications to get them functional and working.
  • Configured the Chef-Client to run automatically and monitored the continuous integration flow.
  • Wrote Lambda functions in python for AWS’s Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.
  • Configured SSH, SMTP, Build Tools, and Source Control repositories in Jenkins. Installed multiple plugins to Jenkins.
  • Worked on Docker, OpenShift to manage microservices for development.
  • Deployed applications created domains and started Oracle WebLogic servers.
  • Point team player on OpenShiftfor creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, troubleshooting pods through ssh and logs, modification of Build configs, templates, Image streams, etc.
  • Implemented the alert setup system for system/application performance using the Splunk.
  • Dealt with various merging conflicts and pushed appropriate code into GitHub repository.
  • Performed application server builds in EC2 environment and monitored them using CloudWatch.
  • Setting up private networks and sub-networks using Virtual Private Cloud (VPC) and creating security groups to associate them with the networks.
  • Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Coordinated with the Offshore and Onshore teams for Production Releases.
  • Extensively worked with various scripting languages like Bash, Shell and Python.
  • Branching, Tagging, Release Activities on Version Control Tools: GitHub.

Environment: Chef, Jenkins, Maven, GIT, GITHUB, Docker, Splunk 6.x, Red Hat Linux 6.x, 7.x, CentOS, AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), Kubernetes, EBS, IAM,, Cloud watch, Web servers (Apache, WebLogic, WebSphere), Bamboo, AWS CLI, AWS Auto Scaling, Python, Unix/Linux, Shell scripting.

Confidential

Linux Administrator

Responsibilities:

  • Installation, configuration and management of RedHat Enterprise Linux, Windows Server Active directory.
  • Managed users, groups and permissions, configured LDAP and given SUDO access in test and development servers. Allowed password less logins for authorized users on servers.
  • Performing installation, configuration, upgrades, Packageadministrationand support forLinux systems on client side using RPM and YUM.
  • Perform new builds and decommissions of both physical and VMware servers.
  • Involved in Linux backup/restore with tar including formatting and disk partitioning.
  • Deployed the Java applications into web application servers like Web logic and implemented file sharing on a network by configuring NFS on the systems to share essential resources.
  • Setup of full networking services and protocols on RedHat Linux, including FTP, DNS, SSH, DHCP, TCP/IP, ARP, applications, and print servers to insure optimal networking, application, and printing functionality.
  • Developed automated processes that run daily to check disk usage and perform cleanup of file systems on Linux environments using shell scripting and PowerShell for Windows

Environment: RedHat, Shell, RPM, PowerShell, RPM, YUM, TCP/IP, SSH, DHCP, DNS, FTP, Windows Server.

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