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roadmap updated 2026-06-01

DevOps Engineer Roadmap

Master CI/CD, infrastructure as code, containerization, and cloud platforms. A complete roadmap from Linux fundamentals to advanced GitOps workflows and multi-cloud architecture for aspiring DevOps engineers.

Phase 1 — Beginner

Build core foundations in Linux, networking, version control, and basic scripting before touching any automation tooling.

GitDockerGitHubBashAWS CLI

Phase 2 — Intermediate

Apply infrastructure as code, build production-grade CI/CD pipelines, and operate containerized workloads on Kubernetes.

TerraformKubernetesGitHub ActionsAnsibleHelm

Phase 3 — Advanced

Design multi-cloud architectures, implement GitOps at scale, and lead reliability and platform engineering practices across teams.

Argo CDIstioVaultOPACrossplane

The path: Beginner → Intermediate → Advanced

Beginner

Focus: Build core foundations in Linux, networking, version control, and basic scripting before touching any automation tooling.

Skills to build

  • Linux command line and shell scripting
  • Git version control and branching strategies
  • Networking fundamentals: DNS, TCP/IP, HTTP/HTTPS
  • Basic Python or Bash scripting for automation
  • Understanding of software development lifecycle (SDLC)
  • Introduction to cloud computing concepts
  • Docker fundamentals: images, containers, volumes
  • Writing basic CI pipelines

Tools to learn

  • Git
  • Docker
  • GitHub
  • Bash
  • AWS CLI
  • VirtualBox

Intermediate

Focus: Apply infrastructure as code, build production-grade CI/CD pipelines, and operate containerized workloads on Kubernetes.

Skills to build

  • Terraform for infrastructure provisioning and state management
  • Kubernetes deployments, services, and ingress configuration
  • CI/CD pipeline design with GitHub Actions or Jenkins
  • Configuration management with Ansible
  • Container security and image scanning best practices
  • Secrets management and environment configuration
  • Monitoring and alerting with Prometheus and Grafana
  • Log aggregation with ELK or Loki stack

Tools to learn

  • Terraform
  • Kubernetes
  • GitHub Actions
  • Ansible
  • Helm
  • Prometheus
  • Grafana

Advanced

Focus: Design multi-cloud architectures, implement GitOps at scale, and lead reliability and platform engineering practices across teams.

Skills to build

  • GitOps with Argo CD and Flux for declarative deployments
  • Multi-cluster Kubernetes federation and service mesh
  • Platform engineering and internal developer platform design
  • FinOps principles and cloud cost optimization
  • Chaos engineering and resilience testing
  • Policy as code with OPA/Gatekeeper
  • Advanced observability: SLOs, error budgets, distributed tracing
  • Security posture management and supply chain security

Tools to learn

  • Argo CD
  • Istio
  • Vault
  • OPA
  • Crossplane
  • OpenTelemetry
  • Backstage

Labs to practice

Interview questions to prepare

  1. Explain the difference between blue-green and canary deployments. When would you choose each?
  2. How do you manage secrets in a Kubernetes environment without hardcoding them?
  3. Walk me through designing a CI/CD pipeline for a microservices application.
  4. What is infrastructure drift and how do you detect and remediate it?
  5. How would you implement rollback in a GitOps workflow using Argo CD?
  6. Describe how you would set up monitoring and alerting for a production service.
  7. What are the trade-offs between using a service mesh vs. application-level service discovery?
  8. How do you handle environment promotion from dev to staging to production safely?

Certification suggestions

  • AWS Certified DevOps Engineer – Professional — Amazon Web Services
  • Certified Kubernetes Administrator (CKA) — CNCF
  • HashiCorp Certified: Terraform Associate — HashiCorp
  • Google Professional DevOps Engineer — Google Cloud
  • GitHub Actions Certification — GitHub

See exam formats, costs and official links in the certification registry.

Free resources

Portfolio project ideas

  • Build a fully automated CI/CD pipeline deploying a containerized app to Kubernetes on AWS EKS using GitHub Actions and Argo CD
  • Provision a multi-tier AWS infrastructure (VPC, EC2, RDS, ALB) entirely with Terraform modules and remote state in S3
  • Set up a full observability stack (Prometheus, Grafana, Loki, Tempo) on a self-managed Kubernetes cluster
  • Implement a GitOps workflow with branch-based environment promotion and automated rollback on failed health checks

Mistakes to avoid

  • Storing secrets in environment variables or source code instead of a secrets manager like Vault or AWS Secrets Manager
  • Treating infrastructure as one-off manual changes instead of committing all changes via IaC
  • Skipping observability until production incidents — instrument early, not reactively
  • Building monolithic CI/CD pipelines that take 40+ minutes instead of optimizing for fast feedback loops
  • Not testing infrastructure code with tools like Terratest or Checkov before applying to production

Keep going