Sr. Aws Cloud Engineer Resume
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Irvine, CA
SUMMARY
- IT professional with 8+ years of Experience with expertise in Cloud Infrastructure management, AWS, DevOps, Build / Release management and System Administration
- AWS Certified Solutions Architect - Associate, Developer-Associate, Sysops Administrator- Associate
- Significant Experience in the strategy and practical implementation of AWS Cloud-Specific technologies including EC2, EBS, S3, VPC, RDS, SES, ELB, Cloud Front, Cloud Formation, Elastic Cache, Cloud Watch, RedShift, Lambda, SNS, Dynamo DB, Opsworks
- Experienced with version control tools like GIT, Perforce, CVS, TFS, Bitbucket, Clear case and SVN & In-depth knowledge on source controller concepts like Branches, Tags and Merges.
- Working experience with continuous integration tools like Jenkins, CircleCI, Bamboo, TeamCity to create automatic deployments
- Hands-on experience with Configuration management tools like Puppet, Ansible, Chef, and Saltstack
- Experienced in TCP/IP, DNS, FTP, LDAP, Remote Access, Security Management, System Troubleshooting skills, and good knowledge in networking concepts
- Implemented numerous server deployments on both Linux/Unix and Windows servers.
- Worked on server migrations moving all clients and their data, configuration settings, testing and verifying everything is correct with zero downtime
- Expertise in code deployment on web application servers like Web Sphere/Web Logic/Apache Tomcat/JBOSS, LAMP (Linux, Apache, MySQL, and PHP)
- Experience in working with the testing tools like Selenium, Cucumber, JUnit
- Well-versed in creating and updating Puppet Manifests and modules, files, and packages, automation of cloud deployments using Cloud Formation Templates and Terraform
- Developed build tools like Gradle, Apache Maven, Apache Ant as part of continuous integration environment
- Expertise in creating Docker containers and building Docker images and pushed those images to Docker registry
- Experience in deploying and maintaining Micro services using Docker
- Good at defect-reporting and defect-tracking tools like JIRA, Remedy
TECHNICAL SKILLS
- GIT, Perforce, CVS, TFS, Bitbucket, Clear case, SVN
- Ant, Gradle, Maven
- Shell, C, Java, python, Ruby, Perl
- Jenkins, CircleCI, Bamboo, TeamCity
- Chef, Puppet, Ansible, Saltstack
- Cloud Formation
- Docker, DockerHub, Kubernetes
- Agile (Scrum)
- Jira, Remedy
- Nagios, Splunk, CloudWatch, ELK
- EC2, VPC, Autoscaling, ELB, RDS, DynamoDB, Route53, S3, ELB, RDS, Elastic Beanstalk, OpsWorks, Cloud Formation, IAM, Lambda, Cloudwatch, IAM
PROFESSIONAL EXPERIENCE
Confidential, Irvine, CA
Sr. AWS Cloud Engineer
Responsibilities:
- Worked on designing and deploying a multi-tier application utilizing scalable, highly available, and fault tolerant systems on AWS stack implementing EC2, S3, RDS, VPC, IAM, ELB, CloudWatch, Route 53, Lambda, and Cloud Formation
- Developed python, shell scripts, configured roles, VPC subnets, NACLs and SGs for EC2 instances
- Customizing JSON templates for Cloud formation stacks to launch infrastructure, and used Code Commit to host secure, scalable private GIT repositories.
- Involved in architectural design reviews, analyzed, reviewed business, functional, high-level technical requirements, and migration process in agile environment
- Enabled CloudWatch based monitoring by setting up alarms using custom metrics on the deployed AWS cloud resources
- Troubleshooting Instance status and system checks of EC2 instances, and Health check fails on ELBs
- Implemented Continuous Integration and Continuous Delivery process stack for all the microservices using AWS, GIT, Jenkins, and Puppet
- Deployed and managed Alteryx ETL tool on EC2 instances in an Auto-scaling configuration
- Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
- Developed Lambda Functions to test the data consistency in S3: It validates each file in the S3 buckets with the Source flat files in the remote local server using hashing and then sends the consequent results to respective SNS topics
- Created several SNS topics to send email notifications to the users
- Implemented Role-based user authentications using assume role API
- Hands-on experience with Amazon Redshift cluster setup, distribution strategy, performance tuning, backup/recovery, scaling options and cluster configurations
- Creating S3 buckets, managing versioning, lifecycle policies, Bucket policies, Bucket control list, and synchronously replicating data to different regions to provide highly durable and available data storage
- Developed workflows in Alteryx using SQL queries to transform the data
- Worked on Cloud automation using AWS Cloud Formation templates.
- Established Redshift database by automating the transfer of the data from S3 buckets using python scripts and Lambda function
- Used Python scripts to update the content in database and manipulate files.
- Created database Model, APIs and Views utilizing Python to build an interactive web based application.
- End to end deployment ownership for projects on Amazon AWS. This includes Python scripting for automation, scalability, build promotions for staging to production
- Configured ODBC, In-Database and Alias connections on Alteryx Server to connect to RedShift
- Setup Internet load balancing on Multiple ISP, Firewall, Port forwarding, IP routing using IPTABLES.
- Well known about installation, configuration and maintenance of Alteryx Security Protocols and connections with Redshift
- Provisioned Lambda functions to create a Log stash for centralized logging: to store logs, Metrics into S3 buckets
Environment: AWS (EC2, S3, Cloud Watch, RDS, ECS, Lambda, VPC, Redshift, IAM), Python, SQL, Shell, GitHub, Cloud Trail, DB2, Tomcat, Route 53, Apache, Linux, Windows, Alteryx ETL tool, MongoDB
Confidential, East Hanover, NJ
Sr. AWS/DevOps Engineer
Responsibilities:
- Implemented the development environment from on premise to AWS cloud based infrastructure by provisioning infrastructure as a code service using Cloud Formation Templates
- Developed a continuous integration system using SVN, Maven, Jenkins, Chef full automation. Created Chef Automation integrated with AWS OpsWorks and do an overall process improvement to any manual processes
- Assisting in plans, designs, consulting, implementations and service limitations in the areas of AWS Cloud Services like ELB, EC2, Cloud Formation, S3, Route53, VPCs, Security groups, NACLs, Route tables, Virtual private gateways, SNS, Lambda
- Administered and created a Build, Test, deploy chain environment using Jenkins, and SVN/GIT with Dev/Test branching model for weekly and scheduled releases. Automated the merging of branches as per the requirements
- Utilized AWS Cloud Formation, AWS OpsWorks, Code Deploy to migrate the on-premise environment to AWS cloud
- Customized Cloud Formation templates and Terraform Configurations
- Managed users, groups, policies, roles using Amazon Identity Access Management(IAM)
- Created private and public subnets using VPC and configured security groups, Network Access Control Lists to associate with the networking requirements
- Maintenance of source code in GIT. Branching, Creating LABELS, merging of codes on GIT for QA testing and release
- Configured Nagios as monitoring tool for CPU utilization, disk usage, list of open files etc. and sending alerts to our teams based on the thresholds to detect unprecedented changes. Automated Nagios alerts and email notifications using python script
- Engineered Jenkins to implement the CI process and integrated the tool with Ant and Maven to schedule the builds and automated the deployment on the application servers using the "code deploy" plugin for Jenkins
- Developed Pom.xml files for Maven build scripts
- Maintained Ansible Playbooks using Ansible roles. Utilized file module in Ansible playbook to copy and remove files on remote systems.
Environment: AWS EC2, JAVA, SVN, GIT, Apache Maven, Jenkins, Shell Script, Chef, ELB, AWS SQS, AWS S3, AWS Cloud Formation Templates, Terraform, AWS RDS, Openstack, MYsQl, Mongo DB, Jira, SSL, Python, Perl, AWS, DNS, Linux, Windows