DevOps Engineer
Step-by-Step Career Roadmap Guide to Get Job Ready
DevOps powers the systems behind modern software delivery. 98% of organizations use cloud-native techniques, and Kubernetes adoption in production has reached 82% among container users, showing how critical automation and infrastructure have become for engineering teams.
DevOps powers the systems behind modern software delivery. 98% of organizations use cloud-native techniques, and Kuberne...
800,000+
$128,000
Top Industries
Hiring DevOps Engineers
80%
Job Satisfaction
What Does a DevOps Engineer Do and Why Do Businesses Need Them?
A DevOps engineer designs, implements, and maintains the infrastructure and automation that lets software teams ship reliably. Companies need DevOps engineers because SaaS products, e-commerce platforms, and enterprise systems depend on DevOps practices.
A DevOps engineer designs, implements, and maintains the infrastructure and automation that lets software teams ship reliably. Companies need DevOps engineers because SaaS products, e-commerce platforms, and enterprise systems depend on DevOps practices.
CI/CD Pipeline
Design and maintain CI/CD pipelines
Cloud Management
Configure and optimize cloud environments
Container Orchestration
Containerize applications and manage workloads
Incident Response
Monitor system health and respond to incidents
Who Is This Career For?
A career as a DevOps engineer is a strong fit if you are:
Software Developer Ready to Expand
You want to add CI/CD, containers, and cloud infrastructure skills to your software toolkit for job.
Sysadmin or IT Professional Transitioning
You want to pair IT operations skills with automation, cloud, and modern DevOps toolchains for work.
Problem-Solver Who Loves Automation
You think in systems and enjoy making software delivery faster, safer, and more reliable with focus.
Recommended Courses
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Salary Snapshot
Compensation* grows significantly as you progress through your DevOps engineering career.
$98,000 – $128,000
+10% Annually
Entry-Level DevOps Engineer
$128,000 – $162,000
+13% Annually
Mid-Level DevOps Engineer
$162,000 – $230,000+
+16% Annually
Senior/Lead DevOps Engineer
Entry-Level DevOps Engineer
$98,000 – $128,000
Mid-Level DevOps Engineer
$128,000 – $162,000
Senior/Lead DevOps Engineer
$162,000 – $230,000+
*All salary figures are based on data from AmbitionBox
Step-By-Step DevOps Engineer Career Roadmap
A comprehensive guide to skills, responsibilities, and expectations at each career level
Who This Is For
IT or engineering graduates starting a DevOps career
Graduates seeking infrastructure-focused roles
Sysadmins specializing in automation and cloud engineering
IT or engineering graduates starting a DevOps career
Graduates seeking infrastructure-focused roles
Sysadmins specializing in automation and cloud engineering
Role Outcomes
Configure pipelines that automate testing and deploying applications
Write Dockerfiles, build images, and deploy containerized apps
Provision and manage cloud infrastructure on AWS or Azure
Set up basic alerting and dashboards using tools
Tool Stack
Technical Skills
Linux and shell scripting
Docker and container basics
REST API and Webhook integration
Cloud fundamentals (AWS/Azure)
CI/CD pipeline setup
Linux and shell scripting
Docker and container basics
REST API and Webhook integration
Cloud fundamentals (AWS/Azure)
CI/CD pipeline setup
+ 1 more skills
Soft Skills
Documentation and Runbooks
Change management awareness
On-call readiness and incident basics
Time management and prioritization
Communication across Dev and Ops teams
Documentation and Runbooks
Change management awareness
On-call readiness and incident basics
Time management and prioritization
Communication across Dev and Ops teams
Example Deliverables
Automated CI/CD Pipeline
GitHub workflow that runs tests, builds, pushes, and deploys
Infrastructure Runbook
Documented playbook for a production service
Monitoring Dashboard
Prometheus + Grafana dashboard with alerting rules
KPIs
Pipeline success rate
Deployment frequency
Mean Time to Recovery (MTTR)
Uptime SLA %
Build duration
Alert noise ratio
Interview Checkpoint
How would you design a CI/CD pipeline for a microservice that needs to pass tests, build a Docker image, and deploy to Kubernetes without downtime?
A deployment just failed in production. Walk us through how you'd triage the issue, roll back if necessary, and prevent recurrence.
How would you containerize a small application and make sure it runs consistently across development and production environments?
IT or engineering graduates starting a DevOps career
Graduates seeking infrastructure-focused roles
Sysadmins specializing in automation and cloud engineering
IT or engineering graduates starting a DevOps career
Graduates seeking infrastructure-focused roles
Sysadmins specializing in automation and cloud engineering
Configure pipelines that automate testing and deploying applications
Write Dockerfiles, build images, and deploy containerized apps
Provision and manage cloud infrastructure on AWS or Azure
Set up basic alerting and dashboards using tools
Linux and shell scripting
Docker and container basics
REST API and Webhook integration
Cloud fundamentals (AWS/Azure)
CI/CD pipeline setup
Linux and shell scripting
Docker and container basics
REST API and Webhook integration
Cloud fundamentals (AWS/Azure)
CI/CD pipeline setup
+ 1 more skills
Documentation and Runbooks
Change management awareness
On-call readiness and incident basics
Time management and prioritization
Communication across Dev and Ops teams
Documentation and Runbooks
Change management awareness
On-call readiness and incident basics
Time management and prioritization
Communication across Dev and Ops teams
Automated CI/CD Pipeline
GitHub workflow that runs tests, builds, pushes, and deploys
Infrastructure Runbook
Documented playbook for a production service
Monitoring Dashboard
Prometheus + Grafana dashboard with alerting rules
Pipeline success rate
Deployment frequency
Mean Time to Recovery (MTTR)
Uptime SLA %
Build duration
Alert noise ratio
How would you design a CI/CD pipeline for a microservice that needs to pass tests, build a Docker image, and deploy to Kubernetes without downtime?
A deployment just failed in production. Walk us through how you'd triage the issue, roll back if necessary, and prevent recurrence.
How would you containerize a small application and make sure it runs consistently across development and production environments?
Key Things to Know
AWS has the largest market share, the most job listings, and the most extensive free-tier learning resources. AWS Certified Cloud Practitioner and Solutions Architect certifications are recognized across virtually every company. Once you understand the core concepts (compute, storage, networking, and IAM), switching to Azure or GCP takes weeks, not months.
You don't need to write full applications, but you need to write automation scripts confidently. Python and Bash are your primary tools. If you can write a Python script to automate a deployment task or a Bash script to parse logs, you're in good shape for entry-level roles.
Mid-level DevOps engineers are expected to implement secrets management, configure RBAC correctly, enforce least-privilege IAM policies, and understand VPC-level network security.
AWS is the safest bet (largest market, most roles) or Azure if you're targeting enterprise/financial services. Multi-cloud expertise becomes valuable at the senior level when you're designing systems that need to avoid vendor lock-in or operate across regions with different regulatory requirements.
Own the full lifecycle of a platform project, from design to retrospective. The move to senior level is about designing systems, making architectural decisions, and improving how teams build, ship, and scale software.
No. Strong IC tracks exist at most mature engineering organizations: Staff DevOps Engineer, Principal Platform Engineer, Distinguished Infrastructure Architect. These roles carry the same level of influence and compensation as engineering management but focus on technical strategy rather than people management.
How to Get Started
Your learning roadmap from a complete beginner to a job-ready DevOps engineer
1. Linux, Networking, and Scripting Foundations
Learn
Linux Fundamentals
Bash Scripting
Networking Basics
Git Fundamentals
Python Scripting
Practice & Deliver
1 Bash automation script that monitors disk usage and sends an email alert
1 Python script that calls a public API and writes results to a log file
Pick A Learning Path
Track A
- Linux command line bootcamp
- Bash and Shell scripting workshop
- Networking fundamentals course
- Python for DevOps automation
Track B
- Linux for developers
- Python scripting for automation
- Git and version control mastery
- Build a system monitoring script
Track C
- Program orientation
- Structured Linux and scripting module
- Automate a deployment task
- Mentor kickoff session
2. Cloud Fundamentals and Infrastructure as Code
Learn
AWS Core Services
Terraform
Cloud Networking
Cost Management
Practice & Deliver
Cloud environment provisioned entirely via Terraform
Budget alert system with automated cost anomaly notifications
Pick A Learning Path
Track A
- AWS cloud practitioner prep
- Terraform deep-dive
- Cloud networking workshop
- Build a 3-tier IaC architecture
Track B
- AWS solutions architect concepts
- Infrastructure as Code with Pulumi
- Deploy a full environment from scratch
Track C
- AWS fundamentals module
- Guided IaC lab
- Cloud architecture design
- Practice exam: AWS certification
3. Containers, CI/CD, and Docker
Learn
Docker
Container Networking
CI/CD Concepts
GitHub Actions/GitLab CI
Practice & Deliver
Fully containerized application with Dockerfile, multi-stage build, and Docker Compose local environment
GitHub Actions CI/CD pipeline: lint, test, build Docker image, push to registry, deploy to staging
Pick A Learning Path
Track A
- Docker fundamentals and compose
- GitHub actions pipeline workshop
- Build a multi-service app with CI/CD
Track B
- GitLab CI/CD deep-dive
- Docker best practices for production
- Full pipeline with automated testing
Track C
- Guided capstone project
- Mentor feedback and code review
- Container security essentials module
4. Projects and Portfolio
Learn
Kubernetes
Helm
Observability
Alerting
Practice & Deliver
Multi-service application deployed to Kubernetes with Helm, autoscaling, and rolling deployments
Observability stack: Prometheus + Grafana monitoring with SLO-based alerts and a tested incident runbook
Pick A Learning Path
Track A
- Kubernetes fundamentals + CKA prep
- Helm chart authoring
- Prometheus and Grafana workshop
- Deploy and monitor a production service
Track B
- EKS/AKS managed Kubernetes
- OpenTelemetry and distributed tracing
- Build a full observability stack
Track C
- Capstone project
- Portfolio polishing workshop
- Mock interview: Kubernetes system design
5. Choose Your Specialization
Learn
Platform Engineering
Site Reliability Engineering (SRE)
DevSecOps
FinOps and Cloud Cost Engineering
Practice & Deliver
1 specialization project demonstrating depth in your chosen niche
Architecture Decision Record (ADR) aligned to target job roles
Pick A Learning Path
Pro Tip
Choosing a niche, like platform engineering or SRE, boosts your job prospects. Recruiters look for specific portfolio projects. A GitHub showcase of a Backstage IDP, a chaos engineering experiment, or a Terraform module library will stand out more than generic Kubernetes demos.
1. Linux, Networking, and Scripting Foundations
Understand how Linux works, how networks communicate, and how to automate tasks with scripts.
Learn
Linux Fundamentals
Bash Scripting
Networking Basics
Git Fundamentals
Python Scripting
Practice & Deliver
1 Bash automation script that monitors disk usage and sends an email alert
1 Python script that calls a public API and writes results to a log file
Pick A Learning Path
Track A
- Linux command line bootcamp
- Bash and Shell scripting workshop
- Networking fundamentals course
- Python for DevOps automation
Track B
- Linux for developers
- Python scripting for automation
- Git and version control mastery
- Build a system monitoring script
Track C
- Program orientation
- Structured Linux and scripting module
- Automate a deployment task
- Mentor kickoff session
2. Cloud Fundamentals and Infrastructure as Code
Explore the fundamentals of cloud computing and how to provision infrastructure through code.
Learn
AWS Core Services
Terraform
Cloud Networking
Cost Management
Practice & Deliver
Cloud environment provisioned entirely via Terraform
Budget alert system with automated cost anomaly notifications
Pick A Learning Path
Track A
- AWS cloud practitioner prep
- Terraform deep-dive
- Cloud networking workshop
- Build a 3-tier IaC architecture
Track B
- AWS solutions architect concepts
- Infrastructure as Code with Pulumi
- Deploy a full environment from scratch
Track C
- AWS fundamentals module
- Guided IaC lab
- Cloud architecture design
- Practice exam: AWS certification
3. Containers, CI/CD, and Docker
Build the delivery infrastructure that lets software teams ship confidently and repeatedly.
Learn
Docker
Container Networking
CI/CD Concepts
GitHub Actions/GitLab CI
Practice & Deliver
Fully containerized application with Dockerfile, multi-stage build, and Docker Compose local environment
GitHub Actions CI/CD pipeline: lint, test, build Docker image, push to registry, deploy to staging
Pick A Learning Path
Track A
- Docker fundamentals and compose
- GitHub actions pipeline workshop
- Build a multi-service app with CI/CD
Track B
- GitLab CI/CD deep-dive
- Docker best practices for production
- Full pipeline with automated testing
Track C
- Guided capstone project
- Mentor feedback and code review
- Container security essentials module
4. Projects and Portfolio
Orchestrate containers at scale and build the observability stack that lets you understand what's happening in production.
Learn
Kubernetes
Helm
Observability
Alerting
Practice & Deliver
Multi-service application deployed to Kubernetes with Helm, autoscaling, and rolling deployments
Observability stack: Prometheus + Grafana monitoring with SLO-based alerts and a tested incident runbook
Pick A Learning Path
Track A
- Kubernetes fundamentals + CKA prep
- Helm chart authoring
- Prometheus and Grafana workshop
- Deploy and monitor a production service
Track B
- EKS/AKS managed Kubernetes
- OpenTelemetry and distributed tracing
- Build a full observability stack
Track C
- Capstone project
- Portfolio polishing workshop
- Mock interview: Kubernetes system design
5. Choose Your Specialization
Focus your expertise in a high-demand DevOps niche that aligns with your interests and target industry.
Learn
Platform Engineering
Site Reliability Engineering (SRE)
DevSecOps
FinOps and Cloud Cost Engineering
Practice & Deliver
1 specialization project demonstrating depth in your chosen niche
Architecture Decision Record (ADR) aligned to target job roles
Pick A Learning Path
Pro Tip
Choosing a niche, like platform engineering or SRE, boosts your job prospects. Recruiters look for specific portfolio projects. A GitHub showcase of a Backstage IDP, a chaos engineering experiment, or a Terraform module library will stand out more than generic Kubernetes demos.
Key Things to Know
A job-ready DevOps engineer can automate tasks, manage cloud infrastructure, build CI/CD pipelines, use containers, and monitor production systems.
Infrastructure as Code (IaC) helps DevOps engineers provision, update, track, and scale cloud environments consistently with fewer manual errors.
Strong projects include Terraform cloud setups, Dockerized apps, CI/CD pipelines, Kubernetes deployments, and monitoring dashboards.
Free DevOps Engineer Upskilling Resources
Free Courses
Introduction to Cloud Computing
Getting Started with Docker
Introduction to Devops Tools
Getting Started with Chef in DevOps
DevOps 101-What is DevOps?
Getting Started with DevOps on AWS
Introduction to JMeter
Introduction to DevOps and DevSecOps Course
Fundamentals of Prometheus for DevOps Monitoring
Learn DevOps Monitoring with Prometheus and Grafana
Introduction to Cloud Computing
Getting Started with Docker
Introduction to Devops Tools
View More
Upcoming Webinars - Free Masterclasses
The DevOps Engineer Roadmap: Skills, Steps, and Strategies
The DevOps Engineer Roadmap: Skills, Steps, and Strategies
Articles and Ebooks That You Can Access For Free
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Unlocking Client Value with GenAI: A Guide for IT Service Leaders to Build Capability
Top 40 DevOps Terms You Should Know
GenAI in the Fast Lane - A Guide to Turbocharge Your Organization’s Capability
Top DevOps Trends To Watch Out For in 2026
Unlocking Client Value with GenAI: A Guide for IT Service Leaders to Build Capability
Top 40 DevOps Terms You Should Know
GenAI in the Fast Lane - A Guide to Turbocharge Your Organization’s Capability
Connect with our learning consultant to get all your questions answered about programs, faculty, and more
Key Things to Know
DevOps engineers commonly use tools such as Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, GitHub Actions, Prometheus, Grafana, and cloud platforms such as AWS, Azure, and Google Cloud.
