Junior DevOps Engineer Interview Questions and Answers

Milad Bonakdar
Author
Prepare for junior DevOps interviews with practical questions on Linux troubleshooting, Git, CI/CD, Docker, cloud basics, Terraform, monitoring, Kubernetes, and Bash.
Quick Takeaway
Junior DevOps interviews usually test whether you can troubleshoot calmly, explain the software delivery flow, and work safely with the tools behind that flow. Expect practical questions on Linux services and logs, Git, CI/CD, Docker, cloud basics, Terraform, monitoring, Kubernetes, configuration management, and Bash.
Use this guide to practice both the answer and the reasoning behind it. For a junior role, it is better to say how you would verify, roll back, read logs, and ask for context than to pretend you have production ownership you do not have.
Before the interview, prepare one small project you can discuss end to end: a Git repository with tests, a CI workflow, a Dockerfile, a basic deploy target, and a simple monitoring or logging setup.
Linux Fundamentals
1. Explain common Linux commands you use daily as a DevOps engineer.
Answer: Essential Linux commands for DevOps work:
Rarity: Very Common
Difficulty: Easy
2. How do you troubleshoot a service that's not starting on Linux?
Answer: Systematic troubleshooting approach:
Common issues:
- Configuration syntax errors
- Port already in use
- Permission denied
- Missing dependencies
- Insufficient disk space
Rarity: Very Common
Difficulty: Medium
Version Control with Git
3. Explain the basic Git workflow and common commands.
Answer: Git workflow for daily DevOps tasks:
Best practices:
- Write clear commit messages
- Commit often, push regularly
- Use feature branches
- Pull before pushing
- Review changes before committing
Rarity: Very Common
Difficulty: Easy
4. How do you resolve a merge conflict in Git?
Answer: Step-by-step conflict resolution:
Conflict markers:
<<<<<<< HEAD- Your current branch=======- Separator>>>>>>> branch-name- Incoming changes
Rarity: Common
Difficulty: Easy-Medium
CI/CD Basics
5. What is CI/CD and why is it important?
Answer: CI/CD stands for Continuous Integration and Continuous Deployment/Delivery.
Continuous Integration (CI):
- Automatically build and test code on every commit
- Catch bugs early
- Ensure code integrates properly
Continuous Delivery/Deployment (CD):
- Delivery means code is always ready to deploy after checks pass
- Deployment means the release to production is automated
- Both reduce manual release steps and make failures easier to trace
Benefits:
- Faster feedback loops
- Reduced integration problems
- Automated testing
- Consistent deployments
- Safer, repeatable releases
Rarity: Very Common
Difficulty: Easy
6. Explain a basic CI/CD pipeline using GitHub Actions.
Answer: Example GitHub Actions workflow:
Key concepts:
- Triggers: When pipeline runs (push, PR, schedule)
- Jobs: Independent tasks that can run in parallel
- Steps: Individual commands within a job
- Artifacts: Files passed between jobs
- Secrets and permissions: Keep credentials in secrets and give jobs only the access they need
Rarity: Very Common
Difficulty: Medium
Docker & Containerization
7. What is Docker and why do we use containers?
Answer: Docker is a platform for developing, shipping, and running applications in containers.
Containers vs VMs:
- Containers share host OS kernel (lightweight)
- VMs include full OS (heavy)
- Containers start in seconds
- Better resource utilization
Benefits:
- Consistency: Same environment everywhere
- Isolation: Apps don't interfere
- Portability: Run anywhere
- Efficiency: Lightweight and fast
Rarity: Very Common
Difficulty: Easy
8. Explain common Docker commands.
Answer: Essential Docker commands:
Rarity: Very Common
Difficulty: Easy
9. Write a Docker Compose file for a web application with a database.
Answer: Example multi-container application:
Key concepts:
- services: Define containers
- depends_on: Service dependencies
- volumes: Persistent data storage
- environment: Environment variables
- ports: Port mapping
- restart: Restart policy
Rarity: Common
Difficulty: Medium
Cloud Basics
10. Explain the difference between IaaS, PaaS, and SaaS.
Answer: Cloud service models:
IaaS (Infrastructure as a Service):
- Provides: Virtual machines, storage, networks
- You manage: OS, runtime, applications
- Examples: AWS EC2, Azure VMs, Google Compute Engine
- Use case: Full control over infrastructure
PaaS (Platform as a Service):
- Provides: Runtime environment, databases, middleware
- You manage: Applications and data
- Examples: AWS Elastic Beanstalk, Heroku, Google App Engine
- Use case: Focus on code, not infrastructure
SaaS (Software as a Service):
- Provides: Complete applications
- You manage: User data and settings
- Examples: Gmail, Salesforce, Office 365
- Use case: Ready-to-use applications
Rarity: Common
Difficulty: Easy
11. What are the basic AWS services a DevOps engineer should know?
Answer: Essential AWS services:
Compute:
- EC2: Virtual servers
- Lambda: Serverless functions
- ECS/EKS: Container orchestration
Storage:
- S3: Object storage
- EBS: Block storage for EC2
- EFS: Shared file storage
Networking:
- VPC: Virtual private cloud
- Route 53: DNS service
- CloudFront: CDN
- ELB: Load balancing
Database:
- RDS: Managed relational databases
- DynamoDB: NoSQL database
DevOps Tools:
- CodePipeline: CI/CD service
- CodeBuild: Build service
- CloudWatch: Monitoring and logging
- IAM: Access management
Example: Launch EC2 instance with AWS CLI:
Rarity: Very Common
Difficulty: Medium
Infrastructure as Code
12. What is Infrastructure as Code (IaC) and why is it important?
Answer: IaC is managing infrastructure through code rather than manual processes.
Benefits:
- Version Control: Track infrastructure changes
- Reproducibility: Create identical environments
- Automation: Reduce manual errors
- Documentation: Code serves as documentation
- Consistency: Same configuration everywhere
Popular IaC tools:
- Terraform: Multi-cloud provisioning
- Ansible: Configuration management
- CloudFormation: AWS-specific
- Pulumi: Code-based IaC
Example Terraform:
Rarity: Very Common
Difficulty: Medium
13. Explain basic Terraform workflow.
Answer: Terraform workflow steps:
Terraform uses state to map real infrastructure back to the resources in your configuration. In team or CI environments, store state in a remote backend with locking and access control instead of passing around local terraform.tfstate files.
Terraform file structure:
Example variables:
Rarity: Common
Difficulty: Medium
Monitoring & Logging
14. What metrics would you monitor for a web application?
Answer: Key monitoring metrics:
Application Metrics:
- Response time / latency
- Request rate (requests per second)
- Error rate (4xx, 5xx errors)
- Throughput
System Metrics:
- CPU usage
- Memory usage
- Disk I/O
- Network I/O
Infrastructure Metrics:
- Container/pod status
- Service availability
- Load balancer health
Example Prometheus query:
Example alerting thresholds:
- Response time > 500ms
- Error rate > 1%
- CPU usage > 80%
- Memory usage > 85%
- Disk usage > 90%
Rarity: Common
Difficulty: Medium
15. How do you centralize logs from multiple servers?
Answer: Centralized logging architecture:
Common stack (ELK):
- Elasticsearch: Store and index logs
- Logstash/Fluentd: Collect and process logs
- Kibana: Visualize and search logs
Example Filebeat configuration:
Best practices:
- Use structured logging (JSON)
- Include correlation IDs
- Set retention policies
- Index strategically
- Monitor log volume
Rarity: Common
Difficulty: Medium
Kubernetes Basics
16. What is Kubernetes and what are its basic components?
Answer: Kubernetes is a container orchestration platform that automates deployment, scaling, and management of containerized applications.
Basic Components:
Control Plane:
- API Server: Entry point for all commands
- etcd: Key-value store for cluster data
- Scheduler: Assigns pods to nodes
- Controller Manager: Maintains desired state
Worker Nodes:
- kubelet: Manages pods on the node
- kube-proxy: Network routing
- Container Runtime: Runs containers through a CRI runtime such as containerd or CRI-O
Basic Kubernetes Objects:
1. Pod:
2. Deployment:
3. Service:
Common kubectl Commands:
Rarity: Very Common
Difficulty: Easy
Configuration Management
17. Explain Ansible basics and write a simple playbook.
Answer: Ansible is an agentless configuration management tool that uses SSH to configure servers.
Key Concepts:
- Inventory: List of servers to manage
- Playbook: YAML file defining tasks
- Modules: Reusable units of work
- Roles: Organized collection of tasks
Inventory File:
Simple Playbook:
Template Example:
Running Playbooks:
Ansible Roles Structure:
Using Roles:
Ad-hoc Commands:
Rarity: Common
Difficulty: Medium
Scripting & Automation
18. Write a bash script to automate a common DevOps task.
Answer: Bash scripting is essential for automation in DevOps.
Example 1: Backup Script
Example 2: Health Check Script
Example 3: Deployment Script
Best Practices:
- Use
set -eto exit on errors - Use
set -uto catch undefined variables - Add logging and error handling
- Make scripts idempotent
- Use functions for reusability
- Add comments and documentation
- Validate inputs
- Use meaningful variable names
Rarity: Very Common
Difficulty: Medium
Conclusion
Preparing for a junior DevOps engineer interview requires hands-on experience with core tools and concepts. Focus on:
- Linux fundamentals: Command line proficiency and troubleshooting
- Version control: Git workflows and collaboration
- CI/CD: Understanding automation pipelines
- Containers: Docker basics and orchestration
- Cloud platforms: AWS/Azure/GCP core services
- IaC: Terraform or Ansible basics
- Monitoring: Metrics and centralized logging
Practice these concepts in real projects, set up your own CI/CD pipeline, and be ready to explain one incident-style scenario: what failed, what logs or metrics you checked, what you changed, and how you would prevent the same issue next time.


