cloud devops engineer resume example with 10+ years of experience
JessicaClaire
Montgomery Street, San Francisco, CA94105609 Johnson Ave., 49204, Tulsa, OK
H: (555) 432-1000
C:
resumesample@example.com
Date of Birth:
India:
:
single:
:
Professional Summary
· Around 6+ years IT Industry experience with CI/CD, Configuration Management, DevOps related fields
· Perform as technical liaison for Engineering and Operations on every aspect associated with final build, release, configuration and environment issues.
· Excellent understanding and hands on experience with e-commerce and Banking application deliverables with rollout and rollback strategies with business and agile teams.
· Analyze developer’s requirements and plan to implement with Infrastructure team.
· Good understanding in networking concepts like TCP/IP Protocols, Security Policies, and subnets.
· Extensively worked on infrastructure as code (IaC), execution plans, resource graph and change automation using Terraform. Managed AWS infrastructure as code using Terraform.
· Experience with Cloud infrastructures like AWS, GCP, On-premises cloud.
· Experience in writing Infrastructure as code (IaC) in Terraform, Azure resource management, AWS Cloud formation. Created reusable Terraform modules in both Azure and AWS cloud environments.
· Implemented on AWS platform and its dimensions of scalability including EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling. Experience in Server infrastructure development on AWS Cloud.
· Experience with Linux/Unix administration.
· Creating the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system for all products.
· Involved in migrating physical Linux/Windows servers to cloud (AWS) and testing.
· Build and maintain Kafka clusters for data processing for various applications, setup Kafka brokers and zookeeper instances for the cluster.
· Perform admin tasks using Console center for Kafka to create, update and delete topics for the application specific topics.
· Setup producers and consumers for Kafka topics and enable replication for topics across the cluster.
· Write Ansible Playbooks for configuration of the servers built in AWS, setup Ansible within the automation pipeline.
· Experience in writing XML, Ant scripts, shell scripts, Perl scripts, Java scripts, Python, Ruby, Chef, Puppet, Kitchen scripts to automate the deployments.
· Used Ansible Playbooks to setup Continuous Delivery Pipeline. Deployed micro services, including provisioning AWS environments using Ansible Playbooks.
· Excellent trouble shooting skills to find the root causes using the logging tools like Splunk
· Experienced working in AWS cloud computing platform and many dimensions of scalability including EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Formation, Security Groups.
· Good skill sets in creating SCM Plans and Procedures for Applications rollouts in non-production and production Environments.
· Scripting in PowerShell to deliver applications on to targeted servers and done load balancing on the servers.
· DevOps Practice for Micro Services using Kubernetes as Orchestrator.
· Configured Continuous Integration by setting up Build and test automation Jobs in Jenkins.
· Experienced in Cloud automation using AWS CloudFormation templates.
· Extending On-Premises AD to AWS Cloud by deploying VPN connection and promoting domain controllers.
· Experience with migration to Amazon Web Services from Datacenter.
· Involved in configuring and integrating the servers with different environments to automatically provisioning and cresting new machines using CM/ Provisioning tools like Chef and Ansible.
· Carried out deployments and builds on various environments using Puppet continuous integration tool.
· Configured Continuous Integration by setting up Build and test automation Jobs in Jenkins
· Hands on experience in setting up database in AWS using RDS, storage using S3 bucket and configuring instance backups to S3 bucket to ensure fault tolerance and high availability.
· Expertise in automating the deployments on AWS using GitHub, Terraform and Jenkins.
· Extensively worked on Infrastructure as code (IaC), execution plans, resource graph and change automation using Terraform. Managed AWS infrastructure as code using Terraform.
Worked on AWS Cloud Formation and Terraform API to create infrastructure on AWS as a code.
Skills
TECHNICAL TOOLS & SKILLS
Operating Systems:
MS Windows 2012/2008 R2, UNIX/Linux
Cloud Infrastructure: GCP, AWS
Scripting Languages: Shell, Python, JavaScript
Middleware: Apache Tomcat, Nginx, Active MQ, Kafka
Tools: Jfrog Artifactory server , Jira, ANT, MS Build, Maven, Jenkins, Ansible, GIT, Sonarqube, Docker, Kubernetes, Terraform.
Work History
Cloud/DevOps Engineer, 07/2021 - Current Tyler Technologies – Philadelphia, PA,
Build and maintain tools for deployment
Design and develop Continuous Integration and Continuous Deployment (CI/CD) pipelines using Visual Studio Team Services (VSTS) and Jenkins
Setup and build AWS infrastructure using resources VPC, EC2, S3, RDS, Dynamo DB, IAM, EBS, Route53, SNS, SES, SQS, CloudWatch, CloudTrail, Security Group, Auto Scaling, and RDS using CloudFormation templates
Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python
Performed the automation deployments using AWS by creating the IAMs and used the code pipeline plugin to integrate Jenkins with AWS and created the EC2 instances to provide the virtual servers
Wrote Lambda functions in python for AWS Lambda and invoked python scripts for data transformations and analytics on large data sets in EMR clusters and AWS Kinesis data streams
Created all the required compatibility architectures and end-to-end migration plan for migrating 3500 Linux/Windows servers and 1500 applications into the AWS cloud using AWS Data Pipeline
Implemented ETL process to ingest analytical data stored in S3 into a Redshift data Warehouse cluster using AWS Lambda Microservices
Create resources in AWS to support infrastructure needs to the team using Terraform and Ansible tools
Used artifactory to upload and download images/artifacts and setup docker registries in artifactory
Used the Ansible Galaxy, a shared repository for the roles to download, share and manage the roles
Integrated Docker container-based test infrastructure to Jenkins CI test flow and set up build environment integrating with Git and Jira to trigger builds using WebHooks and Slave Machines
Developed and implemented automated CI/CD pipeline utilizing Docker for a micro service-based application
Developed a stream filtering system using Spark streaming on top of Apache Kafka
Designed a system using Kafka to auto - scale the backend servers based on the events throughput
Developed CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build, test and deploy
Working on encrypting Terraform secrets to Git vault
Setup Jenkins pipeline for Terraform automation and Ansible automation, enable build triggers to apply changes to AWS platform
Maintain Terraform and Ansible code in GitHub, create repository for each AWS account like development, test, prod-parallel and production
Create Kafka clusters and provide producer endpoint to application teams to write to the Kafka topics
Provide Kubernetes cluster to create namespaces to orchestrate Docker containers across the accounts
Enable Cloud security using IAM roles and policies and provide users role-based access to limit actions performed in AWS console or CLI
Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups
Working on creating Amazon EC2 instances and setting up security groups
Perform data encryption using AWS KMS keys to secure data stored in various storages like S3, RDS, EFS and EBS
Analyze and implement Cloud solutions and application deployments
Ansible playbooks development, roles, Configuration Management and provision GCP cloud resources using terraform
Worked on Docker environment and Kubernetes writing Docker files, docker and automate using Jenkins with docker builds and container clusters
Experience working with AWS EC2, EBS, ELB, auto scaling groups, S3, Redshift, Security Groups
Experience in managing AWS cloud resources like IAM, EC2, S3, EBS, ELB, Cloud Watch, SES, SNS, Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables
Linux and systems administration and security updates
Worked on DNS, load balancer traffic management, SSL and security enhancements
CI/CD Automation to multiple environments, pipeline setups with Jenkins, git Artifactory and versioning to automate application deployments
Completes critical project assessments and projects commensurate with expectations
Implemented and configured Terraform templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates on AWS
Aggregated logs for analysis and troubleshooting using Logstash, Elasticsearch, Kibana
Worked on container orchestration with docker and Kubernetes
Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change
Developed Python Modules for Ansible Customizations
Wrote shell and python scripts for automating the process of deployment
Configured and setup web servers like httpd and Nginx as load balancers and proxy
Systems administrations and systems design analysis
Worked with Terraform to create stacks in AWS from the scratch and updated the terraform as per the organization’s requirement on a regular basis
Created templates for AWS infrastructure as a code using Terraform to build staging and production environments
Created dynamic routing/load balancing capability enabling large application scaling, used ingress rules and Ingress Controllers - Nginx
Point team player on Kubernetes for creating new projects, services for load balancing and adding them to Routes to be accessible from outside, Creation of Pods through new application and control the scaling of pods, troubleshooting pods through Splunk logs
Orchestrated CI/CD processes by responding to Git triggers, human input, and dependency chains and environment setup
Developed a continuous deployment pipeline using shell scripts in Jenkins
Implemented Git mirror for SVN repository, which enables users to use both Git and SVN
Strong focus on AWS security (AWS IAM)
AWS Federation using AWS Directory service and on-premise corporate directory (AD/ADFS)
Deployed ISAM into AWS EC2
Created AWS Multi-Factor Authentication (MFA) for instance RDP/SSH logon, worked with teams to lock down security groups
Utilized Configuration Management Tool Chef & created Chef Cookbooks using recipes to automate system operations
Automated the cloud deployments using Chef, Python and AWS Cloud Formation Templates
Created Python scripts to totally automate AWS services which include web servers, ELB, Cloud front distribution, Database, EC2 and database, security groups, S3 bucket and application configuration, this script creates stacks, single servers, or joins web servers to stacks
Automating backups by Shell for Linux to transfer data in S3 bucket
Continuous integration and automated deployment and management using Jenkins, Puppet, Chef, Maven, Ant, Docker, Ansible or comparable tools.
System Admin/DevOps Engineer, 08/2012 - 09/2016 TCS – City, STATE, India
Experience with windows 2008 R2 and 2012 server, install IIS, create sites and pools for web services and web apps on IIS Manager
Hands on experience with Jenkins setup with various Build tools like ANT, Maven and MS builds
Branching, Merging, and tagging with best practices with release cadences
Triage the Blockers and issues with respective teams and resolve the issues
Experience with Dynatrace Agent/Client installations on various app and proxy servers to monitor System/Application Performance and analyze with respective teams on Prod and non-prod environments
Good understanding of SDLC Methodologies like Agile, Waterfall
Automate the build and deployments for non-prod and Production environments
Work closely with Developers and testers to improve the automated frame works like Junit with analysis of code coverage reports
Experience and familiarity with Chef Delivery and Chef Dashboard
Expertise with Chef Cookbooks and dynamically managing configurations across various environments
Experience with ruby language to write Chef Recipes and add to run list for prod and non-prod specifics
Hands on experience with web servers like httpd
Support Linux Administration in NFS and Samba shares in Wind-Linux environment
Responsible for supporting Linux servers for production, development, and testing
Installing, Configuring and Maintaining the DHCP, DNS, NFS, NIS, send mail server
Performance tuning and preventive maintenance
Performed daily backup
Performed addition of Swap space at run time
Performed installation and configuration of LDAP
Resolving TCP/IP network access problems for the clients
Implementing Remote System Monitoring with Sun Microsystems.
Education
Bachelor of Science: Electrical, Electronics Engineering Technologies, Expected in 04/2006 - JNTU - Hyderabad, GPA: Status -
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