DevOps Engineer Resume

SUMMARY

Skilled DevOps Engineer with 5+ years result oriented experience in managing AWS cloud - based technologies & effectively handling configurations & deployments of infrastructures and services.
Gained hands on experience in implementing core DevOps concepts such as containerisation, virtualisation, version control, cloud computing, load balancing, automation, CI/CD, monitoring, etc.

TECHNICAL SKILLS

Unix/Linux
AWS
Jenkins
Docker
Docker Compose
Docker swarm
Kubernetes
Ansible
Terraform
Git
HELM
YAML
Groovy
DataDog
Auto-Scaling
Python (beginner)
HCL

PROFESSIONAL EXPERIENCE

Confidential

DevOps Engineer

Responsibilities:

Designs and build GCP/ AWS Multi-tier architecture from scratch for the deployments of applications.
Writing Manifest files with Terraform to fully Automate the creation of Production and Test environments in AWS with high reliability, security, and scalability
Automation and configuration management with Ansible. Writing playbooks to configure systems.
Perform DevSecOps (DevOps Security) at the build, testing and production stage, and Shift-Left Security measures of CI/CD Pipeline by integrating security tools in the development integration pipeline to automatically provide security checks during the testing stages which involves Shift-Left Code scan and Shift-Left IaC Assessment.
Deployment of applications and packages on the cluster using Helm Chart.
Creation of fully automated continuous integration/continuous deployment (CI/CD) secured and resilient Jenkins pipelines from scratch capable of triggering builds from source code into tests and Production servers.
Creates multi-tier LAMP stacks environments using docker containers.
Ability to create complete Jenkins CICD and testing environments using docker containers. This reduces cost.
Ability to Create Cross OS and Cross Browser Platforms Testing Environment with hundreds of web browsers and OS, cutting Sauce Labs cost.
Creates custom python scripts to manage docker container and Jenkins pipelines.
Fully automate the deployment of various applications on various AWS components like S3 Buckets, ECS, EKS, Elastic Beanstalk, Lambda, RDS and more using AWS Codebuild Code Pipelines
Fully automate the creation of RDS databases with subnets groups, parameter groups and attaching EC2 instances to the databases.
Fully automate the creation of AWS Elastic Kubernetes Service, and deployment of different Applications on the Kubernetes clusters.
Provision and create EBS and EFS and attaching them to EC2 Instances.
Manage the existing large-scale, high availability, private-cloud infrastructure, including upgrading, maintaining, and troubleshooting
Automate the configuration management, Disaster Recovery failover and routine operation tasks like patching, and upgrade
Observe and Monitor Infrastructures, Processes and Application with AWS CloudWatch, Prometheus and Grafana, Nagios, Datadog which offer the real-time “see it all in-context” including metrics, logs, entity relationship, UX and behavior

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