How to Transition from IT Support to DevOps Engineer in 2026

IT support engineers deal with broken systems, incident escalation, server access issues, and on-call firefighting. Those are DevOps skills — you just haven't been calling them that. The gap between IT support and DevOps is smaller than you think, and more bridgeable than going from pure development.

What You Already Have (Skills That Transfer)

You've been doing operations. DevOps formalizes and automates it.

The Honest Skill Gap

You'll need to learn:

1. Linux deeply — not just basic commands, but scripting, process management, systemd, file permissions
2. Cloud fundamentals — AWS/Azure/GCP (pick one, learn it properly)
3. Containers and Kubernetes — Docker first, then Kubernetes basics
4. CI/CD pipelines — GitHub Actions or GitLab CI
5. Infrastructure as Code — Terraform basics
6. Scripting — Python or Bash (Python is more versatile)

What you can skip initially:

• Deep Kubernetes internals
• Service mesh (Istio, Linkerd)
• Advanced observability tooling
• Microservices architecture

6-Month Roadmap

Month 1–2: Linux + Cloud Fundamentals

Linux:

# Start here — understand these deeply
chmod, chown, ls -la, ps aux, top, htop
systemctl, journalctl, df -h, du -sh
grep, awk, sed, find, curl, wget
ssh, scp, rsync, cron

Resources:

• Linux Foundation free courses on edX
• TryHackMe or OverTheWire (Bandit) — learn Linux by doing

Cloud (AWS):

• Create a free tier AWS account
• Launch EC2 instances, configure security groups
• Set up S3 buckets, IAM users and policies
• Understand VPC, subnets, internet gateways

Milestone: Pass the AWS Cloud Practitioner exam (₹12,000, 1 month prep).

Month 3: Containers + Basic Scripting

Docker:

# Build → run → debug → push
docker build -t myapp .
docker run -p 8080:80 myapp
docker logs <container>
docker exec -it <container> /bin/bash
docker push myregistry/myapp:v1

Write a Dockerfile for a simple web app. Understand layers and why they matter for image size.

Bash scripting:

#!/bin/bash
# Write scripts that solve real problems:
# - disk space check + alert
# - log rotation
# - health check script
# - backup script

Python basics: File I/O, requests library (calling APIs), subprocess (running commands), basic error handling.

Month 4: CI/CD + Version Control

Git:

# Git flow is non-negotiable
git init, clone, pull, push
git branch, checkout, merge
git status, diff, log
git stash, rebase (basics)

GitHub Actions pipeline:

# .github/workflows/deploy.yml
name: Deploy
on:
  push:
    branches: [main]
jobs:
  build-and-deploy:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v4
    - name: Build Docker image
      run: docker build -t myapp:${{ github.sha }} .
    - name: Push to ECR
      run: |
        aws ecr get-login-password | docker login --username AWS ...
        docker push myapp:${{ github.sha }}

Goal: Build a pipeline that lints, tests, builds, and deploys a simple app automatically.

Month 5: Kubernetes Basics

You don't need to know everything. Learn these:

kubectl get pods, deployments, services, nodes
kubectl describe pod <name>
kubectl logs <pod>
kubectl apply -f manifest.yaml
kubectl exec -it <pod> -- /bin/bash

Deploy a real app on Kubernetes (use kind or k3s locally, or AWS EKS free tier).

Understand:

• Pod, Deployment, Service — the holy trinity
• ConfigMaps and Secrets
• Resource limits and requests
• Namespaces

Month 6: Terraform + Portfolio Projects

Terraform basics:

# Provision real AWS infrastructure
provider "aws" {
  region = "us-east-1"
}
 
resource "aws_instance" "web" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "t3.micro"
  tags = {
    Name = "my-web-server"
  }
}

Build these 3 portfolio projects:

1. End-to-end CI/CD pipeline — GitHub Actions → Docker → ECR → EKS, full deployment pipeline for a Node.js or Python app

2. Infrastructure with Terraform — VPC, EC2, RDS, ALB — provision with Terraform, state in S3

3. Monitoring stack — Prometheus + Grafana on Kubernetes, custom alerts for your demo app

Document everything. Each project becomes a blog post or LinkedIn post.

Getting the First DevOps Role

Realistic timeline: 6–12 months of focused learning for someone with IT support background.

Job titles to target first:

• Cloud Support Engineer (AWS/Azure)
• Junior DevOps Engineer
• Infrastructure Engineer
• Site Reliability Engineer (L1)
• Platform Engineer (junior)

Your IT support experience is an advantage for these roles — you understand operations, incidents, and on-call pressure in ways that fresh grads don't.

Certifications that help:

1. AWS Solutions Architect Associate (most valued)
2. CKA (Certified Kubernetes Administrator) — after you're comfortable with K8s
3. HashiCorp Terraform Associate

For Indian job market:

• Naukri, LinkedIn have good DevOps junior postings
• Startups are more likely to hire for potential than just experience
• Cloud consulting companies (TCS, Wipro Digital, Infosys cloud practices) hire junior cloud engineers

What to Say in Interviews

Your IT support background is a story, not a liability. Frame it as:

"I spent 3 years in IT support managing [X infrastructure]. I realized I wanted to build and automate the systems I was maintaining. I spent the last 8 months learning Kubernetes, Terraform, and CI/CD — here are the projects I built."

Show the projects. Have a GitHub profile with real code. Write at least 3 blog posts about what you built and learned.

The DevOps market in India desperately needs engineers who understand operations. That's you — with cloud and automation skills on top.