Browse categories
Explore
Fiverr Pro
English
$
USD
I will automate deployment with ci cd using jenkins or github actions
DEVOPS AND AI ENGINEER
I’m a DevOps enthusiast and IT student with hands-on experience in
automation, CI/CD pipelines, Git workflows, Kubernetes, Linux, and basic
cloud technologies. I enjoy building efficient and scalable ...
About this Gig
I will professionally set up a complete CI/CD pipeline using Jenkins or GitHub Actions to automate your build, test, and deployment process.
Manual deployments are slow and error-prone. I help startups and developers implement automated DevOps workflows that ensure faster releases, consistent builds, and reliable deployments.
Services include:
CI/CD pipeline configuration
Automated build and test setup
Docker image build & push
Branch-based deployment strategy
Environment variables & secrets setup
Automated deployment to server or cloud
Integration with Kubernetes (if required)
Supported stacks: Node.js, Python, PHP, Java, microservices.
I follow DevOps best practices to deliver secure, scalable, and production-ready automation workflows.
Lets automate your deployment process professionally.
Tools:
Docker
•
GitLab
•
Jenkins
•
GitHub
•
CircleCI
Frameworks:
Npm
•
Terraform
•
Ansible
Programming language:
Bash
•
Java
•
JavaScript
•
Python
•
Golang
Expertise:
Installation
•
Migration
•
Configuration
Other DevOps Engineering Services I Offer
FAQ
❓ What information do you need to get started?
I need access to your repository (GitHub/GitLab/Bitbucket), deployment environment details, cloud provider (if any), and a brief overview of your application and workflow.
❓ Which CI/CD tools do you use?
I work with Jenkins, GitHub Actions, and GitLab CI/CD. I choose the tool based on your project requirements and infrastructure.
❓ Can you deploy applications on any cloud platform?
Yes. I deploy applications on AWS, Azure, GCP, and on-premise servers, including Docker and Kubernetes-based environments.
❓ Do you support Docker and Kubernetes?
Absolutely. I can containerize your application using Docker and deploy it using Kubernetes (EKS, GKE, AKS, or self-managed clusters).
