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DevOps, Cloud & Automation
DevOps Engineer Career Roadmap
Learn how DevOps engineers connect Linux, Git, CI/CD, containers, infrastructure as code, cloud platforms, Kubernetes, monitoring, security, and reliable delivery.
Intermediate6–9 monthsCareer roadmap
CAREER ROADMAP VIDEODevOps Engineer Roadmap | Linux, Git, CI/CD, Docker, Kubernetes, Terraform & AWS
Open on YouTube ↗CAREER ↔ CURRENT JOBS
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ROLE OVERVIEW
What this career actually involves
DevOps Engineers improve how software is built, tested, released, operated, and recovered. The role combines systems thinking with Linux, source control, CI/CD, containers, infrastructure as code, cloud services, orchestration, observability, security, collaboration, and continuous improvement.
Who this path can fit
- Developers who want stronger delivery and production skills.
- System administrators or cloud engineers moving toward automation.
- QA automation professionals expanding into CI/CD and infrastructure workflows.
- Learners with Linux and networking foundations seeking a connected DevOps roadmap.
DevOps EngineerProfessionalJunior DevOps EngineerJuniorCloud DevOps EngineerProfessionalInfrastructure Automation EngineerProfessionalBuild and Release EngineerJunior to Professional
SKILLS EMPLOYERS ARE ASKING FOR
Skill demand for this career
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CORE CAPABILITIES
Skills to build for this career
✓
Linux & Networking
Operate and troubleshoot systems, processes, files, services, DNS, ports, and connectivity.
✓
Git & Collaboration
Manage source, branches, reviews, versioning, and traceable delivery changes.
✓
CI/CD Engineering
Automate build, test, security checks, artifacts, approvals, deployment, and rollback.
✓
Containers
Build, secure, publish, run, and troubleshoot reproducible application images.
✓
Infrastructure as Code
Provision and change infrastructure through reviewed, repeatable definitions.
✓
Observability & Reliability
Use logs, metrics, traces, alerts, runbooks, and incident learning to operate services.
TEST YOUR SKILLS
Relevant knowledge checks
Finding quizzes that match this career path...
TOOLS & PLATFORMS
Tools that support the work
Linux & Bash
Operate, automate, inspect, and troubleshoot systems.
Git & GitHub
Version and review application, infrastructure, and delivery changes.
GitHub Actions / Jenkins
Automate build, test, scan, artifact, and deployment workflows.
Docker
Package applications into portable, reproducible containers.
Terraform
Provision infrastructure through declarative, reviewed code.
AWS
Practice cloud identity, networking, compute, storage, and monitoring.
Kubernetes & Helm
Deploy and manage containerized applications and configuration.
Prometheus & Grafana
Collect metrics, visualize behavior, and support alerting and diagnosis.
REAL WORKFLOW
How the work typically flows
01
Plan and Version the Change
Define acceptance criteria and store application, pipeline, and infrastructure changes in Git.
02
Build, Test, and Scan
Use CI to produce repeatable artifacts with quality and security evidence.
03
Provision and Configure
Create environments through infrastructure as code and controlled configuration.
04
Deploy and Verify
Release through staged automation, health checks, approvals, and rollback controls.
05
Observe, Respond, and Improve
Monitor production, respond to incidents, learn from failures, and improve the system.
DEVELOPMENT ROADMAP
Build capability in stages
Stage 1
Linux, Networking, and Git
Build operational foundations across systems, scripting, networking, and source control.
OutcomeTroubleshoot a service and manage changes through Git.
Stage 2
CI/CD and Containers
Automate builds, tests, scans, artifacts, Docker images, and deployments.
OutcomeCreate a repeatable application delivery pipeline.
Stage 3
Cloud and Infrastructure as Code
Provision cloud networking, identity, compute, storage, and supporting services with Terraform.
OutcomeRecreate an environment from reviewed code.
Stage 4
Kubernetes, GitOps, and Observability
Operate containers with orchestration, declarative delivery, monitoring, and alerts.
OutcomeDeploy and diagnose a cloud-native service.
Stage 5
Reliability, Security, and Portfolio
Practice failure handling, rollback, secrets, incident response, documentation, and interviews.
OutcomeExplain a complete DevOps system and its trade-offs.
WORKPLACE SCENARIO
Atlas Retail Delivery Platform
Problem
Application releases are manual, inconsistent, difficult to reproduce, and poorly monitored across environments.
Objective
Create a versioned, automated, observable, secure, and recoverable delivery workflow from source code to cloud runtime.
PORTFOLIO PROJECT
Build a Complete Cloud Delivery Platform
Take a small application from Git through automated tests, Docker packaging, Terraform-provisioned AWS infrastructure, Kubernetes deployment, monitoring, incident simulation, and rollback.
PORTFOLIO EVIDENCE
What you should be able to show
Versioned CI/CD Pipeline
Shows build, test, scan, artifact, approval, deployment, and verification logic.
Container Build
Demonstrates reproducible packaging, configuration, and runtime troubleshooting.
Terraform Environment
Shows declarative infrastructure, variables, state awareness, and reviewed change.
Kubernetes Deployment
Demonstrates application, configuration, service, health-check, and rollout concepts.
Observability and Incident Evidence
Shows monitoring, alert diagnosis, rollback, and lessons learned.
INTERVIEW PREPARATION
Turn your learning into an interview story
LinkedIn headline exampleDevOps Engineer | Linux | CI/CD | Docker | Terraform | AWS | Kubernetes
Resume evidence examples
- Built a Git-based CI/CD workflow that tested, scanned, containerized, and deployed a sample application. Provisioned AWS lab infrastructure with Terraform, deployed the application to Kubernetes, added monitoring, and documented failure diagnosis and rollback.
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