Cyvora Career Hub

DevOps Engineer Roadmap

Become a job-ready DevOps Engineer from scratch.

★★★★☆ Difficulty
8-12 Months Estimated Learning Time
Excellent Career Growth
₹5-8 LPA Average Salary
None Prerequisites
Start Learning

Overview

How to use this roadmap

Built for beginners

Start with no prior DevOps background and move through each month in order.

Focus on practice

Every month includes a checkpoint, projects, and resources so learning stays hands-on.

Track your progress

Mark each month complete and keep your progress saved in the browser.

Job-ready outcome

Build enough Linux, cloud, IaC, CI/CD, Kubernetes, and interview confidence to apply with clarity.

Timeline

Interactive Timeline

Each month expands into a compact learning module with topics, checkpoints, and completion tracking.

Month 1 Linux + Networking
Start here

Topics

  • Linux filesystem, CLI, permissions, processes
  • Networking basics, DNS, ports, SSH, HTTP
  • Package managers, logs, services, cron

Estimated Hours

60-70 hours

Projects

Set up a Linux VM, configure SSH, analyze logs, and script a system health check.

Resources

Linux Journey, TLDP, networking basics videos, and man page practice.

Checkpoint

Explain file permissions, inspect a running service, and identify traffic ports.

0%
Month 2 Git + GitHub
Version control

Topics

  • Git basics, branching, merge conflicts
  • Pull requests, releases, tags, workflows
  • GitHub collaboration and repo hygiene

Estimated Hours

30-40 hours

Projects

Create a portfolio repo, branch workflow demo, and release notes template.

Resources

Pro Git book, GitHub Skills, and command line exercises.

Checkpoint

Use branching confidently and resolve a simple merge conflict.

0%
Month 3 Python + Bash
Automation basics

Topics

  • Python syntax, modules, files, exceptions
  • Bash variables, loops, functions, exit codes
  • Simple automation scripts and parsing text

Estimated Hours

50-60 hours

Projects

Write log parsing, backup, and system health scripts.

Resources

Python for Everybody, Bash scripting references, shell practice labs.

Checkpoint

Automate a repetitive admin task with one Python script and one Bash script.

0%
Month 4 Docker
Containers

Topics

  • Images, containers, registries, volumes
  • Dockerfile best practices and multi-stage builds
  • Compose for local development

Estimated Hours

35-45 hours

Projects

Containerize a web app and run it with Compose.

Resources

Docker docs, Docker 101 labs, and BuildKit practice.

Checkpoint

Explain the difference between images, containers, and volumes.

0%
Month 5 AWS Cloud
Cloud foundations

Topics

  • EC2, S3, IAM, VPC basics
  • Security groups, key pairs, and regions
  • Core cloud cost and availability concepts

Estimated Hours

50-60 hours

Projects

Deploy a static website and secure access with IAM.

Resources

AWS Skill Builder, Cloud Practitioner materials, hands-on labs.

Checkpoint

Launch and secure a small cloud environment from scratch.

0%
Month 6 Terraform
Infrastructure as Code

Topics

  • Providers, resources, variables, outputs
  • State files, modules, workspaces, remote backends
  • IaC best practices

Estimated Hours

40-50 hours

Projects

Provision a VPC, EC2, and security groups with Terraform.

Resources

HashiCorp Learn, Terraform registry, and state management guides.

Checkpoint

Write a reusable module and plan an infrastructure change safely.

0%
Month 7 CI/CD
Delivery pipelines

Topics

  • Pipeline stages, artifacts, environments
  • Secrets, runners, approvals, rollback flow
  • GitHub Actions and Jenkins fundamentals

Estimated Hours

40-50 hours

Projects

Build a pipeline that tests, builds, and deploys a containerized app.

Resources

GitHub Actions docs, Jenkins docs, and sample repos.

Checkpoint

Describe a pipeline from commit to production with rollback.

0%
Month 8 Kubernetes
Orchestration

Topics

  • Pods, deployments, services, ingress
  • ConfigMaps, secrets, namespaces, HPA
  • Helm and cluster operations basics

Estimated Hours

60-70 hours

Projects

Deploy an application to a cluster with config and service exposure.

Resources

Kubernetes Basics, interactive labs, and kubectl practice.

Checkpoint

Explain how a deployment is rolled out and exposed.

0%
Month 9 Monitoring
Observability

Topics

  • Logs, metrics, traces, alerts
  • Prometheus, Grafana, and alert routing
  • SLIs, SLOs, and incident awareness

Estimated Hours

35-45 hours

Projects

Create a dashboard and alert rule set for an app and server.

Resources

Grafana dashboards, Prometheus docs, and logging tutorials.

Checkpoint

Explain the difference between alerts, logs, metrics, and traces.

0%
Month 10 Security
Secure by default

Topics

  • Secrets, least privilege, image scanning
  • IAM, network controls, patching, hardening
  • Threat awareness and compliance basics

Estimated Hours

30-40 hours

Projects

Harden a deployment, scan images, and lock down IAM access.

Resources

AWS security docs, image scanning tools, and hardening checklists.

Checkpoint

List the top five ways you would secure a production app.

0%
Month 11 Production Projects
Portfolio builder

Topics

  • Designing end-to-end DevOps workflows
  • Documentation, demos, and troubleshooting
  • Portfolio-ready project presentation

Estimated Hours

50-70 hours

Projects

Ship one strong portfolio project using cloud, IaC, CI/CD, and monitoring.

Resources

Templates, deployment notes, architecture diagrams, and README samples.

Checkpoint

Present your project as if you were explaining it in an interview.

0%
Month 12 Interview Preparation
Apply with confidence

Topics

  • Resume preparation and portfolio review
  • Scenario questions, troubleshooting stories
  • Mock interviews and job application strategy

Estimated Hours

30-40 hours

Projects

Build your final resume, case study, and interview notes.

Resources

Interview question sets, STAR framework, and mock interview practice.

Checkpoint

Confidently explain your projects, tool choices, and architecture decisions.

0%

Skills

Skill Tree

Expand each node to inspect the knowledge layer beneath it.

Computer Basics

Understand files, processes, hardware, operating systems, and how machines execute software.

Linux

Navigate the terminal, manage permissions, inspect services, and automate routine tasks.

Networking

Learn DNS, ports, HTTP, SSH, routing, firewalls, and how services communicate.

Git

Use branching, pull requests, version history, and collaboration workflows with confidence.

Python

Write scripts for automation, data handling, API calls, and daily DevOps tasks.

Docker

Create portable environments, package apps, and run reproducible local development setups.

Cloud

Build a secure and scalable foundation on AWS, Azure, or another major cloud platform.

Terraform

Describe infrastructure in code and manage repeatable, reviewable environment changes.

CI/CD

Automate test, build, and deployment stages so delivery is reliable and traceable.

Kubernetes

Orchestrate workloads, manage services, and understand the patterns behind modern platforms.

Monitoring

Track health with logs, metrics, traces, dashboards, and alerting practices.

Security

Protect cloud accounts, secrets, images, servers, and deployment pipelines.

Projects

Combine everything into portfolio-ready systems that show real DevOps capability.

Interview

Turn your knowledge into clear explanations, troubleshooting stories, and job-ready answers.

Courses

Free Learning Resources

Choose a topic tab and open the best starter resource for that layer of the roadmap.

Linux Journey Free

Platform: Linux Journey

Duration: Self-paced

Difficulty: Beginner

Focus on filesystem, shell, permissions, services, and command line confidence.

Want to try out your linux skills in terminal use these websites for free terminals:

YouTube Learning

Video Recommendations

What is Devops?

Recommended Playlist: DevOps / Kubernetes / Docker series

Duration: 2 Hrs

Skill Level: Beginner to Intermediate

Watch Playlist

freeCodeCamp

Recommended Playlist: Linux, cloud, Docker, and full-stack ops

Duration: 1-10 hours

Skill Level: Beginner

Watch Playlist

NetworkChuck

Recommended Playlist: Networking and infrastructure intuition

Duration: Mixed

Skill Level: Beginner

Watch Playlist

Traversy Media

Recommended Playlist: Docker, deployment, and practical tooling

Duration: Mixed

Skill Level: Beginner

Watch Playlist

Fireship

Recommended Playlist: Cloud and platform concepts in fast format

Duration: Short-form

Skill Level: Beginner

Watch Playlist

Programming with Mosh

Recommended Playlist: Python and developer tooling fundamentals

Duration: Mixed

Skill Level: Beginner

Watch Playlist

Google Cloud Tech

Recommended Playlist: Cloud architecture and GCP fundamentals

Duration: Mixed

Skill Level: Intermediate

Watch Playlist

AWS

Recommended Playlist: AWS official tutorials and deep dives

Duration: Mixed

Skill Level: Beginner to Intermediate

Watch Playlist

Javascript Mystery

Learn DevOps fast in this crash course covering Git & GitHub, CI/CD pipelines, Docker, Kubernetes, IaC, and API deployment. Everything you need to automate dev and deployment.

Duration: 5 Hrs

Skill Level: Beginner to Intermediate

Watch Playlist

Projects

Beginner, Intermediate, and Advanced Projects

Beginner Projects

Beginner

Linux Server Setup

Estimated Time: 4-6 hours

Skills Practiced: Linux, SSH, permissions, services

Set up a Linux VM, create users, configure SSH, and inspect logs.

Expected Outcome: A managed Linux environment you can explain clearly.

Technologies: Ubuntu, SSH, Bash

Beginner

Dockerize an Application

Estimated Time: 5-7 hours

Skills Practiced: Docker, Compose, image builds

Package a small app into a container and run it locally.

Expected Outcome: A reproducible container-based project.

Technologies: Docker, Docker Compose

Beginner

Git Portfolio

Estimated Time: 3-4 hours

Skills Practiced: Git, branching, README writing

Build a small repo with branches, tags, and a polished README.

Expected Outcome: A portfolio repo that shows workflow understanding.

Technologies: Git, GitHub

Beginner

Static Website Deployment

Estimated Time: 4-6 hours

Skills Practiced: AWS, storage, DNS basics

Deploy a static site and document the steps.

Expected Outcome: A live website with deployment notes.

Technologies: S3, CloudFront

Intermediate Projects

Intermediate

CI/CD Pipeline

Estimated Time: 8-12 hours

Skills Practiced: CI/CD, testing, releases

Automate build, test, and deploy steps for an app.

Expected Outcome: A pipeline you can demo end to end.

Technologies: GitHub Actions, Jenkins

Intermediate

Terraform Infrastructure

Estimated Time: 8-12 hours

Skills Practiced: Terraform, networking, modules

Provision reusable cloud infrastructure with Terraform.

Expected Outcome: Infrastructure code with clear module structure.

Technologies: Terraform, AWS

Intermediate

AWS Deployment

Estimated Time: 8-10 hours

Skills Practiced: AWS, IAM, storage, compute

Deploy an application with secure cloud permissions.

Expected Outcome: A cloud-hosted app with documented architecture.

Technologies: AWS, EC2, S3, IAM

Intermediate

Monitoring Dashboard

Estimated Time: 6-10 hours

Skills Practiced: Monitoring, dashboards, alerts

Create a dashboard for app and server health.

Expected Outcome: Observability visualized in one place.

Technologies: Prometheus, Grafana

Intermediate

Jenkins Automation

Estimated Time: 8-12 hours

Skills Practiced: Automation, pipelines, secrets

Automate repeated release steps with controlled environments.

Expected Outcome: A production-style automation workflow.

Technologies: Jenkins, Docker

Advanced Projects

Advanced

Production Kubernetes Cluster

Estimated Time: 16-24 hours

Skills Practiced: Kubernetes, networking, cluster ops

Deploy an app across multiple services with scaling and exposure.

Expected Outcome: A realistic platform deployment showcase.

Technologies: Kubernetes, Helm

Advanced

Microservices Deployment

Estimated Time: 14-20 hours

Skills Practiced: Architecture, orchestration, deployment

Coordinate multiple services with CI/CD and cloud tooling.

Expected Outcome: A resilient distributed application demo.

Technologies: Docker, Kubernetes, AWS

Advanced

GitOps Workflow

Estimated Time: 12-18 hours

Skills Practiced: GitOps, deployment, Git workflows

Drive environment changes through Git as the source of truth.

Expected Outcome: A clean GitOps deployment pipeline.

Technologies: Argo CD, Git, Kubernetes

Advanced

Blue Green Deployment

Estimated Time: 12-16 hours

Skills Practiced: Release safety, routing, rollback

Switch traffic safely between two versions of the app.

Expected Outcome: A low-risk deployment strategy demo.

Technologies: Cloud, Load Balancer, CI/CD

Advanced

High Availability Infrastructure

Estimated Time: 16-24 hours

Skills Practiced: HA, scaling, reliability

Design infrastructure that survives common failures.

Expected Outcome: A platform architecture with resilience choices.

Technologies: AWS, Terraform, Kubernetes

Advanced

Observability Dashboard

Estimated Time: 12-18 hours

Skills Practiced: Tracing, logs, metrics, alerts

Tie together signals for incident response and reliability work.

Expected Outcome: A platform health cockpit with alerting.

Technologies: Grafana, Prometheus, Loki

Certifications

Recommended Certifications

AWS Cloud Practitioner

Difficulty: Beginner

Prerequisites: None

Preparation: 2-4 weeks

Recommended After Month: 5

Official Website

AWS Solutions Architect Associate

Difficulty: Intermediate

Prerequisites: AWS basics

Preparation: 4-8 weeks

Recommended After Month: 5-6

Official Website

Azure Fundamentals

Difficulty: Beginner

Prerequisites: None

Preparation: 2-4 weeks

Recommended After Month: 5

Official Website

Google Associate Cloud Engineer

Difficulty: Intermediate

Prerequisites: Cloud basics

Preparation: 4-8 weeks

Recommended After Month: 5-6

Official Website

Terraform Associate

Difficulty: Intermediate

Prerequisites: Terraform basics

Preparation: 3-6 weeks

Recommended After Month: 6

Official Website

CKAD

Difficulty: Advanced

Prerequisites: Kubernetes experience

Preparation: 4-8 weeks

Recommended After Month: 8

Official Website

CKA

Difficulty: Advanced

Prerequisites: Kubernetes ops knowledge

Preparation: 6-10 weeks

Recommended After Month: 8-9

Official Website

Interview

Interview Preparation

Switch between topics and open the questions you want to practice.

How do you inspect a system that is running slowly?

Look at CPU, memory, disk, and logs. Use top, free, df, journalctl, and ps to narrow the issue before changing anything.

How do Linux permissions work?

Explain read, write, and execute for user, group, and others, plus ownership and sudo behavior.

Resources

Career Progression

A simple trajectory from student to platform-focused roles.

Student

Experience: None

Salary Range: Learning stage

Responsibilities: Build fundamentals and habits

Skills Required: Linux, Git, Python basics

Intern

Experience: 0-1 year

Salary Range: Stipend

Responsibilities: Shadow teams and automate small tasks

Skills Required: Scripting, tooling, curiosity

Junior DevOps Engineer

Experience: 0-2 years

Salary Range: Entry level

Responsibilities: Support pipelines, deployments, and ops work

Skills Required: Docker, CI/CD, cloud basics

DevOps Engineer

Experience: 2-4 years

Salary Range: Mid level

Responsibilities: Own automation, reliability, and deployment flow

Skills Required: Kubernetes, Terraform, monitoring

Senior DevOps Engineer

Experience: 4-7 years

Salary Range: Senior level

Responsibilities: Improve platform scale, security, and delivery speed

Skills Required: Architecture, IaC, observability

Lead DevOps Engineer

Experience: 6+ years

Salary Range: Lead level

Responsibilities: Guide standards, reviews, and delivery strategy

Skills Required: Mentoring, systems thinking, planning

Cloud Architect

Experience: 7+ years

Salary Range: High level

Responsibilities: Shape cloud foundations and platform direction

Skills Required: Cloud design, governance, reliability

Platform Engineer

Experience: 7+ years

Salary Range: High level

Responsibilities: Build internal tooling and developer platforms

Skills Required: Automation, APIs, product thinking

Career Insights

Career Insights

Who should become a DevOps Engineer?

People who enjoy systems, automation, problem solving, and making delivery more reliable.

Daily responsibilities

Support deployments, maintain pipelines, improve observability, and remove operational friction.

Pros

Strong demand, broad skill growth, real impact, and exposure to architecture and tooling.

Challenges

Lots of moving parts, on-call pressure, and a need to keep learning across layers.

Work-life balance

Healthy teams create predictable operations, but the role can still be high-responsibility.

Remote opportunities

Very common, especially for cloud, automation, and platform-focused teams.

Demand in 2026

Still strong because teams need faster delivery, stability, and cloud expertise.

Future scope

Platform engineering, reliability, cloud security, and internal developer platforms are growing fast.

FAQ

Frequently Asked Questions

Do I need coding?

Yes, but not advanced software engineering on day one. Start with Python and Bash fundamentals.

Can I become DevOps without experience?

Yes. A strong project portfolio and disciplined learning path can get you started.

Should I learn AWS first?

Linux and networking first is usually better. Then learn cloud with more context.

Linux or Docker first?

Linux first. Docker becomes easier once the command line and processes make sense.

Is Kubernetes mandatory?

Not to start, but it matters a lot once you move beyond the basics.

Do I need certifications?

They help, but strong projects and clear understanding matter more than badges alone.

How long does it take?

For most beginners, 8-12 months of steady effort is realistic for job readiness.

Can I become DevOps without a degree?

Yes. Practical skills, projects, and interview readiness can carry a lot of weight.