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Sr. Aws System Engineer Resume

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Irvine, CaliforniA

PROFESSIONAL SUMMARY:

  • Expertise in various platforms like Centos, Red Hat Linux, Ubuntu, including configuring and maintaining the applications.
  • Expertise in all phases of Analysis, Designing, Development, Implementation, Integration, Testing, Production, Maintenance in Enterprise Applications.
  • Maintaining and performing with Subversion control, Build, Configuration Management tools like GIT, ANT, MAVEN, CHEF, DOCKER, ANSIBLE and Integration & Monitoring tools like Elastic Search and NAGIOS using UNIX and Windows environment.
  • Expertise in Server infrastructure development on AWS Cloud, extensive usage of Virtual Private Cloud (VPC), Cloud Formation, CloudFront, EC2, RDS, S3, Route53, SNS, SQS, Cloud Trail.
  • Provisioned in the field of infrastructure automation using Docker and Ansible.
  • In - depth knowledge on the creation of Puppet manifests files.
  • Used Octopus to fit into teams that follow agile delivery practices.
  • Vast experience in writing shell, Perl and Python scripts to automate the deployments.

TECHNICAL SKILLS:

Operating Systems: Windows 98/XP/NT/ 2000/2003/2008/2012 , UNIX, LINUX

Source control tools: Subversion, GIT and Code Commit.

Build Tools: MAVEN.

CI Tools: Hudson, Jenkins

Deployment Tools: CHEF, DOCKER

Repositories: Nexus, Artifactory.

Languages: Terraform, CloudFormation, Python, Perl scripting, Shell scripting, SQL

Tracking tools: Jira, RemedyWeb servers: Weblogic, Web Sphere, Apache Tomcat, JBOSS, Nginx

Databases: Oracle, SQL SERVER, MYSQL, SQLite, PostgreSQL

Cloud Technologies: AWS, AZURE

WORK EXPERIENCE:

Sr. AWS System Engineer

Confidential, Irvine, California

Responsibilities:

  • Aws Lambda to attach ssm role to EC2 if a role exists attaching a policy to that role.
  • Python script to encrypt EC2 and launch new instances.
  • Jenkins upgrade
  • Aws document to get the os version and add a tag to ec2 using python.
  • Worked with Cloudhealth to get information from aws.
  • Setup AWS Config for multiple accounts.
  • Wrote Lambda as a disaster recovery for AWS.
  • Worked with both intrusion detection and intrusion prevention service.
  • Python to automate service now (CR).
  • Implemented Twistlock to scan docker images and aws lambdas.
  • AMI factory for docker.
  • Troposphere to create cloudformation template to build aws infrastructure.
  • Inspector and qualys to scan for vulnerabilities.
  • Ec2 connector in aws, evedent.io for aws intrusion detection.
  • Sent all inspector findings to splunk.

Sr. AWS System Engineer

Confidential, Irvine, California

Responsibilities:

  • Architected and build the environment for AWS System Manager.
  • Worked on multi accounts and was able to centrally manage all the servers in all environments from centrally managed account.
  • Wrote lambda functions and automated the process of creating Activation.
  • Was able to write a sample Ansible playbook to place and execute python script at run time.
  • Automated the process of Patching.
  • Shared the scripts using s3 buckets.
  • Ran shell script on multiple servers using AWS Run command.
  • Written many IAM policies with least privileges, which was useful during automation and creation of activation and patching.
  • Deregistered the servers whose connection is lost using lambda function.
  • Worked with Disaster Recovery Api, for taking automated snapshots and pulling the records from cloud point Api.
  • Able to automate the process to create and send the reports in a email which are triggered by a cron job.
  • Installed and launched Docker container with Cloud Point.

Sr. DevOps/AWS System Engineer

Confidential, Seattle, Washington

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.
  • Implemented OKTA as single sign on for Multi account environment.
  • Implemented Bastion Host and made the environment very secured, connected to virtual machines using private ip.
  • 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 as EC2, auto-scaling and VPC to 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.
  • Implemented and worked as an Admin for AWS REDSHIFT.
  • Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache, and IIS.
  • Utilized AWS services CODE BUILD, CODE DEPLOY and CODE PIPELINE.
  • Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in CloudFormation JSON templates.
  • Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMIs for mission critical production servers for backup.
  • Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, DynamoDB, SES, SQS and SNS services in AWS cloud.
  • Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.
  • Built Continuous Integration environment Jenkins and Continuous delivery environment.
  • Utilized Configuration Management Tool Chef & created Chef Cookbooks using recipes to automate system operations.
  • Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
  • Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.Deployed applications on AWS by using Elastic Beanstalk.
  • Created read replicas of AWS-RDS- MySQL Db in various regions and AZs using backups and snapshots and scale out AWS-RDS- MySQL instance to additional AZs and regions based on requirements using DB snapshots.
  • Experience in continuous integration (CI)/deployment through Octopus deploy. Monitoring and managing deployments through Octopus.
  • Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.

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

AWS System Engineer

Confidential

Responsibilities:

  • Set up and configuring of Linux (Red hat) and Solaris servers/workstations for clients.
  • Configuring the NFS servers, setting up servers in network environment and configuring
  • FTP/NTP/NIS servers, clients for various departments and clients.
  • Experience working with high availability, high performance, multi-data center systems and hybrid cloud environments.
  • Handling the scheduling tasks (corn jobs and task scheduler) for the scripts for various purposes.
  • Troubleshoot complex issues ranging from system resources to application stack traces.
  • Involved in support databases and performed MS SQL upgrades running on Windows servers.
  • Compiling code to move into test environments via automated processes.
  • Installation, configuration and administration of Linux (Red hat, CentOS).
  • Troubleshoot build and deploy failures, and facilitate resolution.
  • Configuring network services such as DNS/NFS/NIS/NTP for UNIX/Linux Servers.
  • Improve speed, efficiency and scalability of the continuous integration environment.
  • Extensive knowledge of Linux/Windows based systems including hardware, software and applications.
  • Project Management for various UNIX/Linux/Windows system integration projects.
  • Installed and administered tools like Jenkins, Jira and Confluence.
  • Deployed the Java applications into web application servers like Apache Tomcat.
  • Worked on Maven to create artifacts from source code and deploy them in Nexus central repository for internal deployments.
  • Running scripts using and executing POM.xml. Implementing decorator pattern by providing more expressive features and syntax.
  • Design highly available, cost effective and fault tolerant systems using multiple EC2 instances, Auto Scaling, Elastic Load Balancer and AMIs.
  • Worked on Creating new EC2 instances on AWS (Amazon web services)
  • Installation and configuration of Linux for new build environment.
  • Good experience in AWS services, Networking, Storage, and Cloud Technology.
  • Expertise in creating s3 storage and host static web content in AWS cloud
  • Hands on experience in Virtual Private Cloud, Internet Gateways, Nat Gateways, Subnets, Route Tables in Amazon VPC.
  • Built various AWS infrastructure resources, VPC, EC2, S3, IAM, EBS, Security Groups, Auto Scaling and RDS in JSON templates of Cloud Formation
  • Created Elastic IP's and associate to different machines, Launching load balancers in AWS to distribute application traffic across different cloud instances.

Environment: Redhat, Solaris, PowerShell, Shell Scripting, SMF, Oracle 10g, Jboss 4.x, WebLogic 10, Jboss 4.2.2, Ruby, Python, RAID, Veritas, GIT, LDAP, JIRA, Nexus, Maven.

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