Date: Friday, July 18th, 9:00–10:00 AM
Interviewers: Gabriel & Arek
Meet URL: meet.google.com/oad-qpwr-hve
This is a technical interview focusing on:
- Getting to know you and your past work experiences
- Assessing your technical ability
- Likely deep dive into your DevOps project
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Test your demo environment
- Local Flask app running
- Docker container working
- AWS infrastructure accessible
- GitHub Actions pipeline functional
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Prepare backup demos
- Screenshots of AWS Console
- Video recordings of deployments
- Code walkthroughs ready
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Review key files
README.md- Project overviewISSUES_FOUND.md- Problem-solving examplesSTUDY_PLAN.md- Your learning approach- Terraform files - Infrastructure as Code
- GitHub Actions workflows - CI/CD pipeline
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Test Google Meet
- Camera and microphone working
- Screen sharing capability
- Stable internet connection
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Prepare your workspace
- Code editor open with project files
- Terminal ready for live demos
- Browser tabs organized (AWS Console, GitHub)
"I built a complete DevOps pipeline for a beer catalog application that demonstrates infrastructure as code, containerization, and automated CI/CD. The project shows my ability to work with AWS, Terraform, Docker, and GitHub Actions from scratch."
Highlight:
- End-to-end automation
- No prebuilt modules used
- Production-ready architecture
- Real problem-solving experience
"The architecture follows cloud-native best practices: Flask app containerized with Docker, deployed on ECS Fargate, connected to PostgreSQL RDS in a private subnet, all managed with Terraform and automated via GitHub Actions."
Key Components:
- Application Layer: Flask with proper error handling
- Containerization: Secure Docker setup with non-root user
- Infrastructure: VPC with public/private subnets, security groups
- Database: RDS PostgreSQL with proper security
- Automation: GitHub Actions CI/CD pipeline
"The project included intentional issues to test problem-solving skills. I documented 7+ issues and their solutions, with the most challenging being the ECS-RDS connectivity problem."
Key Issues Solved:
- Database connection configuration
- Environment variable management
- Security group configurations
- Terraform state conflicts
- Container security improvements
Be ready to explain:
- Infrastructure as Code: Terraform modules and state management
- Container Security: Non-root containers, minimal base images
- CI/CD Pipeline: Automated testing, building, and deployment
- Monitoring: CloudWatch logs and metrics
- Security: IAM roles, security groups, VPC design
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Show the application running locally
cd app/beer_catalog poetry run python -m flask --app beer_catalog/app run --debug curl http://localhost:5000/health curl http://localhost:5000/beers -
Demonstrate Docker containerization
docker build -t beer-catalog-app . docker run -p 5000:5000 beer-catalog-app -
Show infrastructure in AWS Console
- ECS cluster and service
- RDS database
- VPC and security groups
- CloudWatch logs
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Walk through CI/CD pipeline
- GitHub Actions workflow
- Automated build and deploy
- ECR image repository
- Code walkthrough: Explain key files and decisions
- Screenshots: Show AWS resources and configurations
- Documentation: Walk through README and troubleshooting guide
Q: "Walk me through your architecture" A: "I built a containerized Flask app deployed on ECS Fargate. The app connects to PostgreSQL RDS in a private subnet, with all infrastructure managed by Terraform. Deployments are automated via GitHub Actions, and everything runs in a VPC with proper security groups."
Q: "What was the most challenging issue you solved?" A: "The ECS-RDS connectivity issue was challenging. The app was trying to connect to localhost instead of the RDS endpoint. I debugged this through CloudWatch logs and fixed it by properly configuring the DATABASE_URL environment variable in the ECS task definition."
Q: "How would you scale this architecture?" A: "I'd add an Application Load Balancer, implement auto-scaling based on CPU/memory, use read replicas for the database, and consider moving to Aurora Serverless. I'd also implement blue-green deployments for zero-downtime updates."
Q: "What security measures did you implement?" A: "I use IAM roles with least privilege, security groups to restrict traffic, RDS in private subnets, and non-root containers. I avoid hardcoded secrets and use environment variables for configuration."
Q: "Tell me about a time you solved a complex technical problem" A: "In this project, I faced multiple infrastructure issues. The most complex was debugging the ECS-RDS connectivity problem. I systematically checked CloudWatch logs, verified security group configurations, and eventually found the issue was with environment variable configuration. This taught me the importance of systematic debugging and proper documentation."
Q: "How do you stay current with DevOps practices?" A: "I follow a structured learning approach, as outlined in my study plan. I focus on hands-on projects, official documentation, and community involvement. I'm actively working toward AWS and Terraform certifications."
Q: "What would you improve in your project?" A: "I'd add comprehensive monitoring with CloudWatch dashboards, implement secrets management with AWS Secrets Manager, add automated testing, and implement blue-green deployments. I'd also add infrastructure cost optimization and performance monitoring."
- Introduce yourself and your background
- Mention your passion for DevOps and automation
- Reference your study plan and systematic approach
- Walk through your project architecture
- Demonstrate live components
- Share problem-solving stories
- Show your learning process
- Answer technical questions confidently
- Ask thoughtful questions about their tech stack
- Show enthusiasm for the role and company
- Summarize your key strengths
- Express interest in the role
- Thank them for the opportunity
- ❌ Don't memorize answers - understand the concepts
- ❌ Don't rush through demos - explain your decisions
- ❌ Don't ignore failures - show how you learned from them
- ❌ Don't use jargon without explanation
- ❌ Don't be defensive about challenges
- ❌ Don't forget to ask questions about their environment
- ❌ Don't wait until the last minute to test demos
- ❌ Don't rely on internet for live demos
- ❌ Don't forget to prepare backup options
- ✅ Can explain every component of your architecture
- ✅ Understands the flow from code to production
- ✅ Can troubleshoot common issues
- ✅ Shows learning from challenges
- ✅ Presents technical concepts clearly
- ✅ Demonstrates confidence in your solution
- ✅ Answers questions thoughtfully
- ✅ Shows enthusiasm for the work
- ✅ Can discuss issues found and solutions
- ✅ Understands debugging process
- ✅ Can explain trade-offs and decisions
- ✅ Shows systematic approach to problems
- Test all demos and backups
- Review key technical concepts
- Prepare your workspace
- Get good sleep
- Test Google Meet setup
- Have all tabs and tools ready
- Take deep breaths and stay calm
- Remember: You've built something impressive!
- Show confidence in your abilities
- Be honest about challenges faced
- Demonstrate problem-solving skills
- Show enthusiasm for DevOps
- Ask thoughtful questions
Your project demonstrates:
- Real-world DevOps skills
- Problem-solving ability
- Infrastructure knowledge
- Automation expertise
- Security awareness
- Documentation skills
You've built a complete, production-ready DevOps pipeline. Be confident in your abilities and show your passion for the work!
Good luck! 🎯