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DevOps Engineer · AWS · GCP · Jenkins · Docker · Kubernetes · Terraform

I build the bridge from dev to production expert at deployments with secure and smart Pipelines.

I'm Ajay Pandey, a DevOps Engineer with hands-on experience in AWS, Jenkins, Docker, Kubernetes, Terraform, and automation—building stable CI/CD pipelines, containerized workloads, and cloud-native infrastructure that just works.

Open to DevOps / Cloud roles

India · Remote / Hybrid

DevOps · Cloud · CI/CD

Ajay Pandey

DevOps Engineer · Cloud Infrastructure

AWS Jenkins Docker Kubernetes Terraform Bash Automation

Experience

~3 yrs

Focus

CI/CD · Cloud

Location

India 🇮🇳

About Me

A quick intro to who I am and how I solve infrastructure challenges.

I'm a DevOps Engineer with practical experience in building CI/CD pipelines, containerizing applications, and managing cloud infrastructure. I enjoy taking services from "works on my machine" to "stable in production" by focusing on automation, observability, and repeatable deployments.

I work mainly with AWS, Jenkins, Docker, Kubernetes, Terraform, and Git, along with scripting in bash to automate repetitive tasks. I like keeping systems simple, predictable, and easy for developers to work with.

CI/CD & release pipelines

Containers & Kubernetes

Infrastructure as Code

Cloud-native deployments

Monitoring & reliability

Collaboration with dev teams

Snapshot

Top skills: AWS · Jenkins · Docker · Kubernetes · Terraform Bash scripting & automation Linux, Git, MySQL Jira & agile collaboration

Tech Stack

The tools I use to design, build, and ship reliable systems.

Cloud & Compute

AWS EC2 · S3 · IAM Load Balancer

CI/CD & Automation

Jenkins GitHub Actions Pipeline as Code Build & release automation

Containers & Orchestration

Docker Kubernetes Container registry

Infrastructure as Code

Terraform Modular IaC Multi-env setups

Scripting & Backend

Bash Automation scripts

Databases & OS

MySQL Linux Shell tools

Collaboration

Git GitHub Jira

Practices

Monitoring & logs Environment parity Rollback-ready releases

DevOps Projects

Practical, interview-ready projects that reflect how I work.

CI/CD · AWS · Docker · Jenkins

End-to-End CI/CD Pipeline for Containerized Microservice on AWS

Designed and implemented a CI/CD pipeline that builds, tests, and deploys a Dockerized microservice to AWS. The pipeline automated image build, vulnerability scan, and deployment to a staging environment before promoting to production.

AWS Jenkins Docker Git

Kubernetes · Terraform · AWS

Kubernetes-Based Deployment Platform with IaC

Built a small deployment platform where applications are packaged as Docker images and deployed to a Kubernetes cluster. Used Terraform to provision the cluster and related networking on AWS, keeping the setup reproducible across environments.

Kubernetes Terraform Docker AWS

Monitoring · Reliability

Observability & Alerting for a Sample Web Application

Set up logs and basic metrics for a sample web application, wiring alerts for error spikes and latency issues. The goal was to make incidents visible quickly and reduce debugging time during deployments.

Linux Logs & metrics Dashboards

Certifications & Learning

Continuous learning and professional certifications.

☁️

AWS Cloud Practitioner

Foundational AWS cloud knowledge

In Progress

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Docker & Kubernetes

Container orchestration expertise

Hands-on

⚙️

CI/CD Best Practices

Jenkins, GitHub Actions, Pipeline as Code

Active

Experience

How I've applied DevOps skills in real-world environments.

DevOps Engineer

~3 years · CI/CD · Cloud · Automation

Helping teams ship reliably and repeatably

Built and maintained CI/CD pipelines using Jenkins, integrating build, test, and deployment steps for backend services.
Worked with AWS to host applications and manage basic infrastructure components like compute, storage, and networking.
Containerized applications with Docker and deployed them on orchestrated environments using Kubernetes.
Used Terraform to define infrastructure as code for consistent environment setups.
Automated routine tasks and small workflows using Python and shell scripts.
Collaborated with developers using Git, GitHub, and Jira to plan, track, and deliver features.

Contact

Reach out for DevOps, Cloud, or platform engineering opportunities.

ajay.pandey71196gmail.com

Location

India · Open to remote & hybrid roles

Status

Actively exploring DevOps / Cloud roles