SUMMARY

• DevOps/Amazon Web Services engineer with proven experience in IAM, EC2, EFS, VPC, Route53, ELB, Auto - Scaling, Launch Configuration, Dynamo DB, Amazon Kinesis, Amazon SQS, Amazon SNS, Amazon SWF, Cloud Trail, Cloud Watch, Cloud Front, RDS, Elasti Cache and Redshift
• Experienced in configuration management of various multi-tier applications using Puppet, Chef, Ansible, Terraform and AWS user data
• Proficient with automation technologies, Cloud Formation, Elastic Beanstalk, Code Deploy, Lambda, PowerShell and Boto
• Experience with container based deployment using Docker
• Extensively worked on Bash scripting, Perl, PowerShell and Python to automate the tasks by using Cron scheduling
• Excellent experience on data migration tools Aspera and Snowball
• Worked on Cloud Endure and Data Dog
• Traditional and cloud storage experience with Amazon EBS, S3, iSCSI SAN, FC SAN, NAS, multi-pathing technologies on Netapp, EMC Celerra and Isilion storages
• Configured/integrated Jenkins with Git to poll codes and Maven to push artifacts to AWS S3
• Excellent in project management, project scope design, resource management, risk management, supervising, forecasting, vendor management and process management

TECHNICAL SKILLS

Version Control Tools: Git, SVN, CodeHub

Source Code Management: GitHub

Configuration Tools: Terraform, Ansible, Chef and Puppet

Build Tools: Maven, Ant

Continuous Integration Tools: Jenkins, AntHill Pro, Bamboo

Micro Services: Docker (Swarm), Kubernetes, AWS ECS

Bug Tracking Tools: JIRA

Web/Application Servers: Apache, Tomcat, Nginx, JBOSS, Oracle WebLogic and IBM WebSphere

Languages & Scripts: Java, C, Python, Shell, XML and PHP

Monitoring Tools: ELK (Elasticsearch, Logstash, Kibana), Grafana, Filebeat, Nagios Splunk

Database: Oracle, MySQL, MongoDB 7, SQL Server, RDS, DynamoDB and InfluxDB

AWS Cloud Services: EC2, ECS, EBS, ELB, Lambda, S3, Glacier, VPC, Route 53, Cloud Watch, Cloud Formation, IAM, AMI, Certificate Manager, SNS, Auto Scaling and BLOX

PROFESSIONAL EXPERIENCE

DevOps/AWS Engineer

Confidential, Houston, TX

Responsibilities:

• Designed, deployed, managed and operated dynamically scalable, highly available, and fault tolerant and reliable enterprise-wide systems on AWS
• Designed the HA/DR strategies
• Selected the appropriate AWS services to design and deploy an application based on the given requirements such as computer, data or security requirements
• Implemented and controlled the flow of data to and from AWS
• Migrated complex and multi-tier applications on AWS
• Built a CI/CD pipeline using AWS, Jenkins, Maven, GitHub, Nexus OSS, Tomcat and Sonar Qube to deliver continues delivery
• Used Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts and managed containerized applications using its nodes, config maps, selectors and services
• Authored shell scripts, python scripts to maintain weekly backups for applications and databases for disaster recovery and stored them in Amazon S3 Buckets
• Used CloudWatch events to collect data from other AWS resources and transferred them to SQS and SNS for alerting
• Used Jenkins for continuous integration and Jenkins Master Slave Architecture to run Jenkins build in remote RHEL servers. Integrated Apache Kafka for data ingestion
• Performed defect tracking and management in JIRA
• Designed, installed and implemented the Ansible configuration management system and used Ansible to manage Web apps, environment configuration files, users and packages
• Integrated Ansible with Jenkins to provide automation, continuous integration through Jenkins
• Managed nodes over SSH/Power shell using Ansible
• Automated various infrastructure activities like continuous deployment, application server setup, stack monitoring using Ansible playbooks
• Involved in designing and deploying applications utilizing almost all of the AWS stack (Including EC2, Route53, S3, CloudWatch, ELB, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance and auto-scaling in AWS CloudFormation
• Developed Cloud formation templates to launch instances, VPC's and configured Route Tables and internet gateways to VPC’s
• Used Jenkins AWS code deploy plugins to deploy to AWS
• Configured the various plugins for Jenkins for automation of the workflow and optimized running of build jobs
• Managed Amazon redshift clusters such as launching the cluster and specified the node types as well
• Set up and built AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, security groups, auto scaling, and RDS in Cloud formation JSON templates
• Implemented cost control strategies
• Lift and shift migration and transformation of virtualized and on premises platforms to AWS cloud
• Worked closely with the business users to understand and in corporate non-functional requirements in the application and infrastructure architecture
• Worked with the presentations and scope definitions with the director and C-level decision makers
• Strong understanding and knowledge of AWS Services EC2, VPC, ELB, S3/EBS
• Experience with automation technologies like Cloud Formation, Jenkins, Chef and Puppet
• Conducted log analysis and maintained the documents of production server error log reports
• Provided 24x7 on-call tier-3 support for the operations center and participated in off hour maintenance activities as required
• Performed data migration from on premises environments into AWS
• Strong knowledge of Amazon Kinesis, AWS Lambda, Amazon SQS, SNS, and SWF

Environment: Kubernetes, Docker, AWS (EC2, Route53, S3, CloudWatch, ELB, RDS, Dynamo DB, SNS, SQS, IAM), GitHub, git, Maven, Ansible, Terraform, JIRA, ELK, Jenkins, Tomcat, Shell Scripting, Python, Java, Kafka, RHEL, RDS, Dynamo DB, Chef, Python, RDS, Dynamo DB, JBOSS, Java, Linux, RHEL, Nginx, Ant, Apache, MYSQL, Splunk, Netapp, Shell Scripts, Puppet, Splunk, Nagios, Snowball, Aspera, Robocopy

DevOps/AWS Engineer

Confidential, Houston, TX

Responsibilities:

• Designed deployed, managed and operated dynamically scalable, highly available, and fault tolerant, reliable enterprise-wide systems on AWS
• Wrote Lambda scripts to define custom metrics and used the CloudWatch events to scale up or down the instances based on the number of requests hitting each instance
• Monitored the infra completely using Data Dog and took necessary action accordingly
• Automated Lambda function to stop or start the instances based on the service availability
• Used Lambda to spin up new instances from the exact configuration of the working instances and added to the load
• Selected the appropriate AWS services to design and deploy an application based on the given requirements such as computer, data or security requirements
• Implemented and controlled the flow of data to and from AWS
• Built a CI/CD pipeline using AWS, Jenkins, Maven, GitHub, Nexus OSS, Tomcat and Sonar Qube to deliver continues delivery
• Authored shell scripts and python scripts to maintain weekly backups for applications and databases for disaster recovery and stored them in Amazon S3 Buckets
• Used CloudWatch events to collect data from other AWS resources and transferred them to SQS and SNS for alerting
• Designed the HA/DR strategies
• Implemented and controlled the flow of data to and from AWS
• Authored shell scripts and python scripts to maintain weekly backups for applications and databases for disaster recovery and stored them in Amazon S3 Buckets
• Used CloudWatch events to collect data from other AWS resources and transferred them to SQS and SNS for alerting
• Used Jenkins for continuous integration and Jenkins Master Slave Architecture to run Jenkins build in remote RHEL servers. Integrated Apache Kafka for data ingestion
• Performed defect tracking and management in JIRA
• Designed, installed and implemented Ansible configuration management system and used Ansible to manage Web apps, environment configuration files, users and Packages
• Integrated Ansible with Jenkins to provide automation, continuous integration through Jenkins
• Managed nodes over SSH/Power shell using Ansible
• Automated various infrastructure activities like continuous deployment, application server setup, stack monitoring using Ansible playbooks
• Designed and deployed multitude applications utilizing almost all of the AWS stack (Including EC2, Route53, S3, CloudWatch, ELB, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS CloudFormation
• Developed CloudFormation templates to launch Instances, VPC's and configured Route Tables, internet Gateways to VPCs
• Used Jenkins AWS code deploy plugins to deploy to AWS
• Configured various plugins for Jenkins for automation of the workflow and optimized and running of build jobs
• Managed Amazon redshift clusters such as launching the cluster and specifying the node types as well
• Set up and built AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, security groups, auto scaling, and RDS in Cloud formation JSON templates
• Implemented cost control strategies
• Lift and shift migration and transformation of virtualized and on premises platforms to AWS Cloud
• Worked closely with the business users to understand and in corporate non-functional requirements in the application and infrastructure architecture
• Shared presentation and scope definition with the director and C-level decision makers
• Strong understanding and knowledge of AWS Services EC2, VPC, ELB, S3/EBS
• Conducted log analysis and maintained the documents of production server error log reports
• Provided 24x7 on-call tier-3 support for the operations center and participated in off hours maintenance activities as required
• Performed data migration from on-premises environments into AWS
• Strong knowledge of Amazon Kinesis, AWS Lambda, Amazon SQS, SNS, and SWF

Environment: Kubernetes, Docker, AWS, GitHub, git, Maven, Ansible, Terraform, JIRA, ELK, Jenkins, Tomcat, Shell Scripting, Python, Java, Kafka, RHEL, RDS, Dynamo DB, Chef, Python, RDS, Dynamo DB, JBOSS, Java, Linux, RHEL, Nginx, Ant, Apache, MYSQL, Splunk, Netapp, Shell scripts, Puppet, Splunk, Nagios, Snowball, Aspera, Robocopy

DevOps/AWS Engineer

Confidential, Houston, TX

Responsibilities:

• Designed deployed, managed and operated dynamically scalable, highly available, and fault tolerant, reliable enterprise-wide systems on AWS
• Selected the appropriate AWS services to design and deploy an application based on the given requirements such as computer, data or security requirements
• Implemented and controlled the flow of data to and from AWS
• Built a CI/CD pipeline using AWS, Jenkins, Maven, GitHub, Nexus OSS, Tomcat and Sonar Qube for continued delivery
• Authored shell scripts and python scripts to maintain weekly backups for applications and databases for disaster recovery and stored them in Amazon S3 Buckets
• Used CloudWatch events to collect data from other AWS resources and transferred them to SQS and SNS for alerting
• Designed the HA/DR strategies
• Selected the appropriate AWS services to design and deploy an application based on the given requirements such as computer, data or security requirements
• Used Jenkins for continuous integration and Jenkins Master Slave Architecture to run Jenkins build in remote RHEL servers and integrated Apache Kafka for data ingestion
• Designed, installed and implemented Ansible configuration management system and used Ansible to manage Web apps, environment configuration files, users and Packages
• Integrated Ansible with Jenkins to provide automation, continuous integration through Jenkins
• Set up and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, security groups, auto scaling, and RDS in Cloud formation JSON templates
• Implemented cost control strategies
• Worked closely with the business users to understand and in corporate non-functional requirements in the application and infrastructure architecture
• Shared presentation and scope definition with the director and C-Level decision makers
• Conducted log analysis and maintained the documents of production server error log reports
• Provided 24x7 on-call tier-3 support for the operations center and participated in off hours maintenance activities as required
• Performed data migration from on premises environments into AWS

Environment: AWS, GitHub, Maven, Jenkins, Tomcat, Shell Scripting, PowerShell, Windows, RDS, Chef, Splunk, Snowball, Aspera, Robocopy