SUMMARY:

• Over 6 years of experience in IT industry as AWS Cloud Engineer and 3 years of Devops experience with excellent experience in Software Integration, Configuration, packaging, building, automating, managing and releasing code from one environment to another environment and deploying to servers.
• Experience in managing AWS cloud infrastructure.
• Experience in Configuration Management, Cloud Infrastructure, and Automation like Amazon Web Services (AWS), Jenkins.
• Designed and implemented CI/CD pipelined and automated solutions.
• Monitor the servers and Linux scripts regularly and perform troubleshooting steps - Tested and installed the latest software on server for end-users.
• Implemented Continuous Integration using various tools like Jenkins, Bamboo.
• Automated the cloud deployments using AWS CloudFormation Templates.
• Designed, configured and deployed Amazon Web Services (AWS) for applications utilizing the AWS stack (Including EC2, VPC, Glacier, Route53, S3, RDS, CloudWatch, CloudWatch Logs, Cloud Trial) focusing on high-availability, fault tolerance, and auto-scaling.
• Service delivery management using Amazon AWS (EC2, ELB, and CloudWatch).
• Virtualized the servers on AWS using the Docker, create the Docker files and version control.
• Configured DOCKER Containers for Branching purpose and deployed using Elastic Beanstalk.
• Experience with configuration and maintenance of automation tools like Ansible
• Good understanding of Openshift platform in managing Docker containers and kubernetes Clusters.
• Proficient level of experience on DevOps essential tools like Chef,Puppet, Ansible, Docker, Kubernetes, Subversion (SVN), GIT, Hudson, Jenkins, Ant, Maven.
• Have excellent logical, analytical & debugging skills.
• Possesses high working qualities with good interpersonal skills, highly motivated, fast learner, good team player and very proactive in problem solving with providing best solutions
• Have proficient time-management skills, able to deliver assignments with superior quality on schedule and within budget.

TECHNICAL SKILLS:

Cloud: AWS.

Networking Tools: Route53, HTTP, HTTPS, TCP

Web technologies: HTML, XML.JSON

Tools: Notepad ++

Scripting Language: Java, C, C++, Python, Ruby.

Database: DB2, SQL, PL/SQL, RDS

Operating Systems: Cloud Watch, Cloud Trial, Sensu Linux, Windows system, Reh hat.

PROFESSIONAL EXPERIENCE:

Confidential, Ann Arbor, Michigan

AWS/ Devops

Responsibilities:

• Created roles and policies to the individual users and groups in IAM and provided access to the users and groups.
• Used Cloud-Watch logs to move application logs to S3 and create alarms and notifications for EC2.
• Expert in Set up Auto Scale of the instance group using AWS command line tools and AWS cloud environment for Dev/QA environments.
• Creating and managing Domain name service (DNS) records on Amazon Route 53.
• Extensive working experience with broad range of AWSCloud Services like EC2, ELB, Autoscaling, VPC, Route53, RDS, S3, IAM, SNS, SQS, DynamoDB, Elasticsearch and CloudWatch and have in-depth practical knowledge on other cloud services like Microsoft Azure and OpenStack
• Have setup infrastructure diagrams for dell boomi, lambda backend, ruby backend and web applications.
• Created monitoring plan using AWS CloudWatch and Sensu monitoring tool.
• Developed operational runbook-wiki f or all the documentations and support processes.
• Created responsibility matrix for the developers who are responsible to solve the incidents and report them to the entire team.
• Good understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, scrum, and Waterfall methodologies.
• Using Amazon RDS Multi-AZ for automatic failover and high availability at the database tier for MySQL/MSSQL workloads.
• Documented the incident management plan for the applications and external interfaces such as classification of incident, affect due to the incident, start date and closed date.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins. Troubleshoot network related issues.
• Extensively worked on Jenkins for continuous integration and also for End to End automation for all build and deployments.
• Worked on providing high availability using ELB and Route 53, zonal availability and zone redundancy. Have set up high availability for applications and data layers.
• Worked on disaster recovery for elastic beanstalk by restoring the environment that has been terminated.
• Have also worked on recovering the RDS instances by taking snapshots and restoring to point in time.
• Set up and configured the production environment plan for database, lambdas, Boomi, Ruby UI and API’s.
• Created documentation for design, review and implementation.
• Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.
• Leveraged AWS cloud services such as EC2; auto-scaling; and VPC (Virtual Private Cloud) to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts can quickly evolve during development iterations.
• Designing and implementing fully automated server build management, monitoring and deployment By Using Technologies like Puppet.
• Developed and implemented Software Release Management strategies for various applications according to the agile process.
• Installed, configured and maintained web servers like Apache Web Server and WebSphere Application Server on Red Hat Linux.
• Integrated slack webhook URL with latest version of lambda to get notifications.
• Created more than 300 CloudWatch alarms and 515 lambda CloudWatch logs for all the environments (prod, test, stage).
• Created slack channels and integrated the URL for getting alarm alerts to all the members in the channel.

Environment: Jenkins, Apache Webserver, Nginx, Python, Perl, Shell, Jira, Linux, Ubuntu.

Confidential, Detroit, Michigan

Cloud/Devops Engineer

Responsibilities:

• Extensively worked on Jenkins by configuring and maintaining for continuous integration (CI) and for End to End automation for all build and deployments
• 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.
• Implemented Puppet for Package and configuration management.
• Configured and used automation tools like puppet to push updates like sudo, ssh. Send mail and patches.
• Design, implement and maintain Continuous Integration jenkins and Delivery environments.
• Worked on AWS S3 Services for storing and retrieving data stored in the S3 buckets
• Worked on creating the Docker containers and Docker consoles for managing the application life cycle.
• Created private cloud using kubernetes that supports DEV, TEST, and PROD environments.
• Applying company security policies using Security groups and Network ACLs for instance and subnet level security as per project requirements.
• Used Elastic Load balancer, Auto scaling, Security groups and NACL's to manage network security.
• Implemented multi-tier application provisioning in AWS, Openstack cloud and integrating it with Chef or puppet.
• Designed, Installed and Implemented Ansible configuration management system.
• Scheduled, deployed and managed container replicas onto a node cluster using kubernetes
• 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
• Designing and deploying scalable, highly available, and fault tolerant systems on AWS and developed programs using Python, Shell, Java Scripts and CI tools like Jenkins, Maven build tool and IAM roles.
• Developed public cloud platform and initiated investment in multi cloud deployment and management user interface.
• 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 gave 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.
• Good understanding in creating new Custom resources in Kubernetes.
• Automated Regular AWS tasks like snapshots creation using python scripts
• Monitoring AWS Instances regularly using New Relic tools.
• Worked on JavaScript libraries like JSON
• Designed AWS cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.

Confidential, Rolling Meadows, IL

Devops Engineer

Responsibilities:

• Building servers using AWS, importing volumes, launching EC2, creating security groups, auto-scaling, load balancers, Route 53, SES and SNS in the defined virtual private connection.
• Worked at optimizing volumes and EC2 instances and created multiple VPC instances.
• Installing configuration and maintenance of Web Servers (apache), App Servers Perform research on AWS resources or tools to recommend to clients.
• Implemented a Continuous Delivery pipeline with Jenkins and GitHub and AWS AMI's.
• Good experience in installation and upgrades to SQL server and its database migrations, backup, recovery SQL Server databases in Cluster environment.
• Written Chef Cookbooks for various DB configurations to modularize and optimize end product configuration.
• Creation of pipelines in jenkins to optimize the build process.
• Virtualized the servers using Docker for the test environments and dev-environments needs, also configuration automation using Docker containers.
• Experience in creating Docker Containers leveraging existing Linux Containers and AMI's in addition to creating Docker Containers from scratch.
• Workedon Data center migration to develop ITIL based processes such as procedures, Change, Asset and Security access.
• Have centrally managed an automated Linux environment through automation/ configuration.
• Experience in creating alarms and notifications for EC2 instances using Cloud Watch.
• Experience involving configuring S3 versioning and lifecycle policies to and backup files and archive files in glacier.
• Deploy Ansible and Jenkins to completely provision and manage AWS EC2 instances, volumes DNS, and S3.
• Hands on experience on Azure VPN-Point to Site, Virtual networks, Azure Custom security, Endpoint security and firewall.
• Worked in DevOps group running Jenkins in a Docker container with EC2 slaves in Amazon AWS cloud configuration. Also, gain familiarity with surrounding technologies such as Mesos and Kubernetes.
• Converting production support scripts to chef Recipes and AWS server provisioning using chef Recipes.
• Participated in the release cycle of the product which involve environments like Development QA UAT and Production.
• Able to create scripts for system administration and AWS using languages such as BASH and python.
• Established Continuous Integration practices and standards with JIRA, Jenkins and Continuous Delivery through chef.
• Experienced in working on Agile operations process and tools such as Code review, unit test automation.
• Deploying and maintaining production environment using AWS EC2 instances and ECS with Docker
• Configured a 3-tier web hosting environment on AWS.
• Created and Managed AWS Resources based on JSON

Environment: EC2, S3, EBS, Elastic Load balancer (ELB), auto scaling groups, VPC, IAM, CloudWatch, Glacier, GIT version control, Shell Scripting, python Apache Web Server.

Confidential, St. Louis (MO)

AWS Cloud Engineer

Responsibilities:

• Created a workstation/control host and installed AWS CLI and python.
• Created script to get the list of all volumes and EC2 instances running on all AWS accounts.
• Automated the backup process of creating the snapshots of the EC2 instances on regular time intervals.
• Installing, configuring MySQL, Oracle and Cassandra on AWS platform.
• Defined and Implemented Configuration Management and Release Management Processes, Policies and Procedures.
• Created Development Environments in Amazon Web Services using services like VPC, ELB, EC2 and RDS instances.
• Use Chef cookbooks to handle tasks such as installing and configuring packages and deploying apps
• Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in CloudFormation JSON templates
• Wrote Vagrant Scripts to spin up servers on the Developer workstations and in AWS.
• Implement IAM best practices Assist in writing change implementation plans (CIPs) for Change Control Board (CCB) approval.
• Worked with Microsoft Office 365, OneDrive, Skype, Teams, yammer.
• Analyses and resolve compilation and deployment errors related to code development, branching, merging and building of source code.
• Acted as an integrator for performing merge, rebase and baseline operations.
• Enforced development policies using Subversion hooks and other metadata.
• Developed Networking policies for Docker Containers. Worked on Open source development tools like Docker Containers, Mesos, and Kubernetes. Also worked on GitHub.
• Scripting in multiple languages on UNIX, LINUX and Windows - Batch, Shell, Perl script etc.
• Developed applications in python for multiple platforms.
• Coordinate/assist developers with establishing and applying appropriate branching, labelling/naming conventions using Subversion source control.
• Utilize Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, DynamoDB tables, and EBS volumes
• Experience in creating Amazon EC2 instances and setting up security groups
• Performed configuration, deployment and support of cloud services including Amazon Web Services.
• Deploying, managing, and operating scalable, highly available, and fault tolerant systems on AWS

Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), VDI, GIT version Control, VPC, AWS EC2, S3, Route53, EBS, IAM, MongoDB, SQL, ELB, CloudWatch, CloudFormation, AWS CLI.

Confidential

Linux /Cloud Consultant

Responsibilities:

• Experience on AWS cloud services like EC2, S3, RDS, ELB, EBS, VPC, Route53, Auto scaling groups, CloudWatch, CloudFront, IAM for installing configuring and troubleshooting on various Amazon Images.
• Creating alarms in CloudWatch service for monitoring the server’s performance, CPU Utilization, disk usage etc.
• Performed installation, configuration, upgrades, Package administration and support for Linux systems on client side.
• Installed, Setup and configure various Jenkins jobs for application deployments, test cases execution.
• Performance tuning of Virtual Memory, CPU, system usage in Linux and other servers.
• Managed users and groups using the Amazon Identity and Access Management (IAM).
• Managing IAM accounts (with MFA) and IAM policies to meet security audit & compliance requirements.
• Maintaining the user accounts (IAM), RDS, Route 53, SES and SNS services in AWS cloud.
• Created CloudFormation template stacks to automate for building new VPCs using JSON files.
• Patch management using native commands on Linux and following the change control procedures,
• Uses both Graphical User Interface (GUI) and terminal for Linux commands
• Experience in AWS, which included managing application in the cloud and creating instances.
• Created Snapshots and Amazon Machine Images of EC2 Instance for snapshots and creating clone instances.
• Participating in 24x7 production on-call support of Linux and provided technical support to users.
• Setting up private networks and subnetworks using Virtual Private Cloud (VPC) and creating security groups to associate with the networks.
• Used command line and advanced command options in Red Hat Linuxand includes updating patches in all Linux servers
• Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances
• Managing S3 buckets and bucket policies.

Environment: Amazon Web Services, IAM, S3, EBS, AWS SDK, CloudWatch, CloudFormation, GitHub, Chef, Puppet, Docker