SUMMARY

• 7 Years of total experience in Cloud Infrastructure Setup, Configuration Management, Change/Release/Build Management, Infrastructure automation, Code migration and troubleshooting.
• Managed AWS Services like EC2, S3 bucket, RDS, EBS, EMR, ELB, Auto - Scaling, AMI, IAM through AWS Console and Terraform.
• Worked on setting up the auto scaling groups in AWS for enterprise infrastructure scalability.
• Worked with IAM service creating new IAM users & groups, defining roles and policies and Identity providers.
• Used AWS command line interface (CLI) and management console to interact with AWS resources and APIs.
• Set up the scripts for creation of new snapshots and deletion of old snapshots in S3 using S3 CLI tools.
• Proficient with container systems like Docker and container orchestration like EC2 Container Service.
• Worked on setting up the life cycle policies to back up the data from AWS S3 to AWS Glacier.
• Monitored EC2 instances with Cloud Watch.
• Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS Cloud watch.
• Build server deployment on Cloud (EC2) servers with help of DevOps tools like Terraform, Cloud Formation.
• Established infrastructure and service monitoring using Prometheus and Grafana.
• Experience in Implementing DevOps Organization strategy in various environment of along with adopting cloud strategies based on Amazon Web Services.
• Setting up databases in AWS using RDS, storage using S3 buckets and configuring instance backups to S3 bucket.
• Hands on experience in GCP services like EC2, S3, ELB, RDS, SQS, EBS, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud Formation GCP Config, Autoscaling, Cloud Front, IAM, R53.
• Have hands on experience in Implementing best Security, Identity & compliance Foundation in AWS in IAM, NAT, Guard Duty, WAF, AWS Config, CloudTrail.
• Hands on Pivotal Cloud Foundry deployments and configurations.
• In-depth knowledge of computer applications and scripting like JavaScript.
• Installation, Configuration and Management of RDBMS tools such as SQL Server, MySQL, Oracle.
• Experience in requirements gathering, analysis, solution design, development, implementation, setup, testing, customization, maintenance, and support and data migration.
• Created events, email notification schemes and assigned project roles on Jira
• Created JIRA projects as per the requirement on JIRA Cloud and Troubleshooted any JIRA issues for users
• Experienced in working with Ticketing & Tracking Tools like Atlassian JIRA, Bugzilla.
• Experience with engineering and best practices for DevOps on the Microsoft cloud Azure.

TECHNICAL SKILLS

Platforms: Ubuntu, Red Hat LINUX, RHEL, Windows XP/ 7/ 8/10, Mac OS

Cloud Technologies: AWS (EC2, S3, ELB, CloudWatch, VPC, Route53, Autoscaling, RDS, Dynamo DB, IAM, SNS, Cloud Trial, SQS, EPIC, Lambda, Kinesis, CloudFront, Elastic Beanstalk, Snapshots, EMR, Cloud Formation, EBS, Static Website, EKS), Azure, OpenStack Cloud, GCP

CI/CD and Provisioning: Jenkins, GitLab, Terraform

Build Tools/Packaging: ANT, Maven, RPM, Chocolatey

Scripting Languages: Bash Script, Shell, PowerShell, Ruby, Python, JavaScript

Web/Application servers: WebLogic, WebSphere, Apache Tomcat, JBoss, HTTP web server, Nginx

Monitoring Tools: Nagios, Grafana, AppDynamics, AWS cloud watch, New Relic, ELK, SonarQube, Prometheus

Version Control Tools: Git, GitLab, Bitbucket

Programming Skills: Python, C, Html, CSS, Java, JavaScript, C#.NET, VB.NET

Database: MySQL, Oracle DB, AWS Dynamo DB, Mongo DB, AWS RDS

Containerization/Orchestration: Docker, ECS, Docker swarm, Kubernetes, OpenShift, GitHub, GitLab, Shell, JIRA, SQL.

PROFESSIONAL EXPERIENCE

Sr DevOps/AWS Engineer

Confidential, New York, NY

Responsibilities:

• Created AWS CloudFormation Templates & Terraform Scripts to create IAM, EC2, S3.
• Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes
• Setting up AWS Web Application Firewall (WAF) rules to Block IP address that submit Bad requests and IP address received by Guard Duty analyzing which are diagnosed by CloudFront logs using Athena.
• Review and modify Agile user stories and epics to ensure correct authentication, authorization, and logging.
• Reviewing AWS Well-Architected Framework on existing workloads and implementing latest AWS architectural best practices
• Configuring the Prometheus alerts from the Kubernetes cluster via email-notifications and web-hook mechanisms.
• Met with EMR Core Team on implementation strategies and critical components.
• Developed build scripts using Gulp to compress, minify all Java Script files
• Established AWS VPN Solution to tunnel between AWS VPC & our network.
• Has knowledge on AWS Transit Gateways & AWS Direct Connect.
• Secured Data is stored in Vault (by Hashi Corp), Secret Hub secures, stores and tightly controls access tokens and passwords used by the overall platform, started in the AWS cloud and currently integrates with several services like: AWS IAM, Amazon DynamoDB, Amazon SNS, Amazon RDS.
• Setting up CloudTrail Configuration to analyze AWS Infra activity.
• Worked on Amazon Cloud Front Distribution.
• Active participant in scrum meetings, reporting the progress and maintain effective communication with each team member and manager.
• Manage deployments at internal and internal and externally accessible QA, SIT demo, and Production systems.
• Used Chef for configuration management of hosted Instances within GCP. Configuring and Networking of Virtual Private Cloud (VPC).
• Experienced in Maintaining the Hadoop cluster on AWS EMR.
• Experience in converting existing Terraform modules that had version conflicts to utilize cloud formation during Terraform deployments to enable more control or missing capabilities.
• Extensive experience in managing and configuring secured environments using SSL, Mutual Authentication and Digital Certificates.
• In-depth understanding of the principles and best practices of Software Configuration Management (SCM) processes, which include compiling, packaging, deploying and Application configurations.
• Worked on the monitoring tools and visualization tools like Prometheus and Grafana and monitoring the Kubernetes pod metrics in regular intervals of time.
• Prepare Java/J2EE development structure for Eclipse, maven, Jetty.
• Experienced in Querying RDBMS such as Oracle, MY SQL and SQL Server by using SQL for data integrity.

Environment: AWS (EC2, EBS, ELB, ECR, RDS), GitHub, GitLab, Shell, JIRA, SQL.

DevOps/Cloud Engineer

Confidential

Responsibilities:

• Worked on Migration of servers from a physical data center environment to AWS.
• Used AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS.
• Working on Migration of on-premises data to AWS RDS - MS SQL server and database
• Worked on setting up the life cycle policies to back up the data from AWS S3 to AWS Glacier.
• Worked with IAM service on creating new IAM users & groups, defining roles and policies and Identity providers.
• Developing tools to assist in automation of application deployments and monitoring of production environments
• Extensively worked on terraform modules that had version conflicts to utilize cloud formation during terraform deployments to enable more control or missing capabilities
• Managing Confidential Internal Monitoring and Alerting tools Hubble, Apace, Kibana, Epic.
• Build servers using GCP, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Involved in Operations, migration/automation processes for build and deploy systems.
• Performed all necessary day-to-day GIT support for different projects.
• Designed and implemented Subversion and GIT metadata including elements, labels, attributes, triggers and hyperlinks.
• Provided implementation transition of EMR systems for providers and associated end users.
• Implemented & maintained the branching and build/release strategies utilizing Subversion /GIT.
• Working with DevOps practices using AWS.
• Using monitoring tools like Grafana, alert manager as Prometheus and Pager Duty for getting an alert alarm tool and creating a dashboard for monitoring in PromQL (query language) to monitor for CPU, messaging sight and websites etc.,
• Extensively worked on Jenkins for continuous integration and maintained end-to-end automation solution for build and deployments.
• Configured Jenkins Monitor, List and Build views to displays the status and progress of selected jobs with build version information.
• Developed various helper classes needed following Core Java multi-threaded programming and Collection classes.
• Configured JIRA workflows according to the needs of the team and integrated the project management features of JIRA with the build and release process.
• Created Custom workflows, custom screens, and custom fields on JIRA.
• Migrated JIRA across environments and worked on JIRA database dumps.
• Worked with development, testing, deployment, systems/infrastructure and project teams to ensure continuous operation of build and test systems.

Environment: AWS (EC2, EBS, ELB, ECR, RDS, GitHub, GitLab, Shell, JIRA, SQL.

DevOps Engineer

Confidential

Responsibilities:

• Participated in the release cycle of the product which involves environments like development, QA and production.
• Defined and implemented build and deployment strategies for all applications.
• Worked with development, testing, deployment, systems/infrastructure and project teams to ensure continuous operation of build and test systems.
• Written several Automation scripts in Bash, Ruby, etc. that consume REST services or CLI's for various DevOps systems like Jenkins, Git, Jira, AWS, etc.
• Implemented Terraform modules for deployment of applications across multiple cloud providers
• DynamoDB, EMR, as well as on-premise data sources using Data Pipeline.
• Developed Python and shell scripts for automation of the build and release process.
• Deployed and Published Django Web App in platform as a services PaaS in azure App services.
• Experience in creating in Chef Architecture by using workstations, nodes, and servers.
• Integrated Jenkins with GitHub repository and created different environments like Dev, QA, Stage and Prod on Jenkins.
• Developed various helper classes needed following Core Java multi-threaded programming and Collection classes.
• Automation of Prometheus configs deployment using Jenkins
• Code development using Eclipse, HTML, JAVA, JSP, SWING, Servlet and SQL.
• Migrated applications to the PKS, GCP cloud.
• Used Ansible for configuration management of hosted Instances within AWS Configuring and Networking of Virtual Private Cloud (VPC).
• Worked on requests for adhoc deployment for a particular environment and use the adhoc deploy plan in Jenkins.
• Developed Chef Cookbooks to manage system configuration and MySQL, Windows applications and versioned them on GIT repositories and Chef Server.
• Experience in Microsoft Azure Cloud Computing development and support.

Environment: AWS (EC2, EBS, ELB, ECR, RDS, Security Groups, VPC, Elastic IP), GitHub, GitLab, Shell, JIRA, SQL.

DevOps Engineer

Confidential

Responsibilities:

• Moderate and contribute to the support forums (specific to Azure Networking, Azure Virtual Machines, Azure Active Directory, Azure Storage) for Microsoft Developers Network, including Partners and MVPs.
• Replaced the use of CloudFormation with Terraform to not be fully locked into a single cloud provider.
• Used Jenkins to automate the build process and integrating with other tools.
• Created a DevOps automated build process using Jenkins, Git.
• Setup GCP Firewall rules to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Built a prototype Azure Data Lake application that accesses 3rd party data services via Web Services. The solution dynamically scales, automatically adding/removing cloud-based compute, storage, and network resources based upon changing workloads.
• Experience in managing Ansible Playbooks with Ansible roles.
• Used file module in Ansible playbook to copy and remove files on remote systems.
• Good working experience in Azure Logic Apps, Service Bus, Document DB, and SQL Database.
• Plan and implement assigned projects, change management, on-call support, and hotline bridge participation.
• Creating Database users, roles, profiles, alert logs/ trace logs on Oracle Database application.

Environment: AWS, JENKINS, Linux, Google cloud platform, Server, WebLogic.

Cloud Engineer

Confidential

Responsibilities:

• Involved in designing and deploying various applications utilizing AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling.
• Worked with various instance groups, availability zones, health checks, operations, and security scans on Google cloud.
• Implemented Terraform modules for deployment of applications across multiple cloud providers like AWS, IBM Cloud and VMware.
• Designed roles and groups for users and resources using AWS Identity Access Management (IAM).
• Utilized Maven as a build tool on Java projects for the development of build artifacts on the source code in artifactory and created Shell and Python scripts.
• Automated various service and application deployments with ANSIBLE on CentOS and RHEL in AWS.
• Developed Ansible playbooks to automate the deployment of the applications to different Dev/Stage/Prod Environments.
• Built upstream and downstream jobs in Jenkins to build and deploy onto different environments such as AWS.
• Used Git for source code version control and integrated with Jenkins for CI/CD pipeline and Configured GIT to schedule jobs using POLL SCM and GIT Hook options.
• Used Splunk as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked on Splunk Event handlers in case of automatic restart of failed applications and services.
• Handled in creation of custom Docker Container Images, Tagging, Pushing the images on AWS.

Environment: Jenkins, Ansible, AWS, GIT, GITHUB, SonarQube, Docker, Chef, Shell, python, Maven, Nexus Artifactory, Nagios.