TL;DR — What to learn first
Start here: Linux, Docker, and one cloud provider (AWS is the safest bet). These three form the foundation of every DevOps role.
Level up: Terraform for infrastructure as code, Kubernetes for orchestration, and GitHub Actions or Jenkins for CI/CD pipelines.
What matters most: Automation mindset. If you are doing something manually more than twice, script it. DevOps is about making the entire team faster.
What devops engineer job postings actually ask for
Before learning anything, look at the data. Here’s how often key skills appear in devops engineer job postings:
Skill frequency in devops engineer job postings
Cloud platforms
The dominant cloud provider for DevOps roles. Core services to know: EC2, ECS/EKS, S3, RDS, Lambda, IAM, VPC, CloudWatch, and CloudFormation or CDK. Most DevOps engineers specialize in one cloud but understand multi-cloud basics.
List specific AWS services rather than just "AWS." Include certifications (AWS Solutions Architect, DevOps Professional) if you have them.
GCP is strong in data and ML infrastructure (BigQuery, GKE). Azure dominates in enterprises using Microsoft ecosystems. Multi-cloud familiarity is increasingly valued even if you specialize in one.
Infrastructure as code & containers
The standard infrastructure as code tool. You need modules, state management (remote backends), workspaces, and provider configuration. Pulumi and CDK are growing alternatives.
Quantify Terraform impact: "Managed 200+ cloud resources across 3 environments using Terraform modules, reducing provisioning time from days to minutes."
Container fundamentals are non-negotiable. Multi-stage builds, image optimization, networking, volumes, and security scanning are all expected. You should be able to debug container issues quickly.
Container orchestration is central to DevOps. Deployments, Services, Ingress, ConfigMaps, Secrets, RBAC, Helm charts, and HPA are the essentials. Managed clusters (EKS, GKE, AKS) are the norm.
Mention cluster scale: "Managed 15-node EKS cluster running 80+ microservices" is more impressive than just listing Kubernetes.
Still used for configuration management, especially in hybrid environments. Playbooks, roles, and inventory management are the basics. Less common in cloud-native shops that use Terraform exclusively.
CI/CD & monitoring
Building and maintaining deployment pipelines is a core DevOps responsibility. GitHub Actions is the fastest-growing tool; Jenkins remains dominant in enterprise. Know build stages, testing, security scanning, and deployment strategies.
Show pipeline impact: "Designed CI/CD pipeline reducing deployment frequency from weekly to 15+ deploys/day with zero-downtime releases."
The standard open-source monitoring stack. Prometheus for metrics collection and alerting, Grafana for dashboards and visualization. Understanding PromQL and alert routing is expected.
Deep Linux knowledge is fundamental. Process management, networking (iptables, DNS), file systems, systemd, log analysis, and performance debugging are all daily DevOps tasks.
Automation scripts are the bread and butter of DevOps. Bash for quick system tasks, Python for more complex automation, AWS SDK integration, and custom tooling.
How to list devops engineer skills on your resume
Don’t dump a wall of keywords. Categorize your skills to mirror how job postings list their requirements:
Example: DevOps Engineer Resume
Why this works: Organizing by Cloud / IaC / CI/CD mirrors the DevOps hiring manager’s mental model. This structure makes it easy to match your skills to their job posting at a glance.
Three rules for your skills section:
- Only list what you’ve used in a real project. If you can’t answer a technical question about it, don’t list it.
- Match the job posting’s terminology. If they use a specific tool name, use that exact name on your resume.
- Order by relevance, not alphabetically. Put the most important skills first in each category.
What to learn first (and in what order)
If you’re looking to break into devops engineer roles, here’s the highest-ROI learning path for 2026:
Get comfortable with Linux and scripting
Set up a Linux VM or WSL. Learn file management, process control, networking basics, and systemd. Write Bash scripts that automate repetitive tasks. Add Python for anything beyond simple scripts.
Learn Docker and basic cloud services
Containerize applications with Docker. Get an AWS free tier account and deploy containers to ECS. Learn S3, RDS, and IAM basics. Understand VPC networking.
Master Terraform and infrastructure as code
Rewrite your manual AWS setup as Terraform code. Learn modules, remote state, and workspaces. Build a multi-environment setup (dev/staging/prod) from Terraform alone.
Deploy to Kubernetes and set up CI/CD
Set up a Kubernetes cluster (minikube, then EKS). Deploy your app with Helm. Build a GitHub Actions pipeline that tests, builds Docker images, and deploys to Kubernetes automatically.
Add monitoring, alerting, and incident response
Set up Prometheus and Grafana for your cluster. Create meaningful dashboards and alerts. Practice incident response — intentionally break things and debug them using only logs and metrics.