AWS Cloud Engineer Resume Los Angeles, CA - Hire IT People

SUMMARY

5+ years of experience in System Administration including Amazon Web Services, Linux and Unix Administration
3 years of experience in Amazon Web Services including migrating infrastructure to AWS cloud and maintenance of production web infrastructure.
Good experience with AWS features such as EC2, S3, RDS, Elastic Beanstalk, Elasticache, VPC, Route 53 and SNS.
Experienced in Chef, Puppet configuration and automation tools.
Worked with Jenkins and Maven to build and deploy systems.
Experience with using Python to script automation processes.
Experienced in administration and implementation of database systems such as Oracle DB and MySQL.
Management skills include working with Agile work environment, project lifecycles and documentation of projects.

TECHNICAL SKILLS

Operating Systems: Amazon Linux, Red Hat Linux, Unix, Ubuntu, Windows

Databases: MySQL, SQL Server, Oracle, MongoDB

Monitoring Tools: CloudWatch, Nagios

Automation Tools: Chef, Puppet

Build Tools: Jenkins, Maven

Web and App Servers: Apache Tomcat, NGINX

Version Controllers: SVN, Git

Scripting: Python

PROFESSIONAL EXPERIENCE

Confidential, Los Angeles, CA

AWS Cloud Engineer

Responsibilities:

Involved in reviewing and assessing current infrastructure to be migrated to the AWS cloud platform.
Created new servers in AWS using EC2 instances, configured security groups and Elastic IPs for the instances.
Performed maintenance to ensure reliable and consistently available EC2 instances.
Set up an Elastic Load Balancer to balance and distribute incoming traffic to multiple servers running on EC2 instances.
Created backup of database systems using S3, EBS and RDS services of AWS.
Created ElastiCache for the database systems to ensure quick access to frequently requested databases.
Monitored instances running on EC2 using AWS CloudWatch involving creating alarms and notifying users via SNS.
Used Puppet to configure and automate server instances in AWS.
Set up Route 53 to ensure traffic distribution among different regions of AWS.
Set up a content delivery system using AWS CloudFront to distribute content like html and graphics files faster.
Used SVN for version control and Jenkins for integration and deployment of applications.
Provided support throughout the software life cycle i.e. Design, Code, Test, Debug and Production.

Confidential, San Francisco, CA

AWS Cloud Admin

Responsibilities:

Implemented and supported creating EC2 instances, S3 storage, Auto Scaling of instances and CloudWatch Monitoring based on requirements.
Assigned and managed roles for users and groups by defining policies via Identity and Access Management.
Configured web servers to enable caching, configured CDN application servers and load balancers.
Deployed templates using CloudFormation for the required environment.
Configured networking with route tables, access control lists, firewalls, and NAT, HTTP and DNS.
Performed server automation with Chef and used Jenkins for deploying and building management system.
Managed and implemented code changes using SVN.
Experience with Jira to track issues and project management.
Configured Amazon Virtual Private Cloud environment and networking inside the VPC.
Worked with Glacier to archive old files as needed.
Administered databases using RDS, MySQL and DynamoDB in AWS.
Used AWS CLI to create new instances and manage existing instances.
Worked with Chef to configure and automate running instances.

Confidential

Network Admin

Responsibilities:

Administered and supported application servers, responsibilities included troubleshooting and monitoring servers using Nagios.
Configured local file system storage to create partitions and volumes.
Involved in deploying and supporting patch management, updating services and software installation.
Experience with Yum package installations and patching software.
Provided support for creating user accounts, security privileges for specific users and process monitoring in Ubuntu and RedHat Linux.
Monitored system performance statistics like storage, CPU utilization and network bandwidth utilization.
Documented system logs and error reports.