DevOps Engineer Interview Prep

Build and automate the CI/CD operations for dev, test & prod environments, for a new application.

• AWS + Terraform + Terragrunt — Secure, repeatable infrastructure
• CI/CD (Jenkins)Pipeline — Java build & test, Docker image creation, ECR push
• Kubernetes (EKS) — 3-tier deployment with Ingress, scaling, storage, & secrets
• Observability — Prometheus metrics, Grafana dashboards, & alerts

DevOps Engineer / Platform Engineer

This is the best fit.
Why:

• Heavy emphasis on CI/CD, IaC, Kubernetes, and observability
• Clear ownership of build → deploy → operate
• Demonstrates automation, reliability, and production readiness
• Aligns directly with DevOps and SRE interview expectations

Interviewers will read this and think:

“This person can run a real production platform.”

This project is primarily for DevOps Engineers, strongly suitable for Cloud Infrastructure Engineers, and adaptable for Cloud Solutions Architects with architectural framing.

How interviewers subconsciously classify this

• DevOps hiring manager: “Yes, this is production-level.”
• Infra lead: “Good Terraform discipline.”
• Solutions Architect panel: “Where are the business constraints and trade-offs?”
• Security team: “Nice baseline, but not security-led.”

1. Infrastructure as Code (IaC) — Development Environment

• Provisioned AWS development environment using Terraform
• Implemented reusable, version-controlled Terraform modules
• Deployed:
• VPC with public and private subnets
• EC2 instances
• RDS database
• Security groups and IAM roles
• Ensured repeatability, traceability, and safe infrastructure changes

Key focus: consistency, security, and environment parity

2. CI/CD Pipeline — Build, Image, and Registry

• Designed and implemented a Groovy-based Jenkins pipeline
• Automated:
• Java application build and unit testing
• Docker image creation
• Image push to AWS ECR
• Implemented pipeline stages with clear failure points and logs

Key focus: automation, quality gates, and artifact immutability

3. Kubernetes — Production Environment

• Provisioned and configured Amazon EKS for production
• Deployed a 3-tier application:
• Web tier
• Application tier
• Database tier
• Used Helm charts / Kubernetes manifests
• Configured:
• Ingress controller and AWS Load Balancers
• Persistent Volume Claims (PVCs)
• Secrets and ConfigMaps
• Ensured scalability, high availability, and security

Key focus: production readiness and resilience

4. Monitoring & Observability

• Implemented Prometheus for metrics collection
• Configured Grafana dashboards for KPIs
• Defined alerting rules in Prometheus for:
• Resource saturation
• Application failures
• Infrastructure anomalies

Key focus: visibility, reliability, and fast incident response

Outcome
Delivered a fully automated, observable, and scalable cloud-native platform aligned with modern DevOps and SRE principles.