Q: Can you brief me about your day-to-day DevOps experience, the tools you work with, and the projects you have handled?
Authentic, production-tested walkthrough explaining day-to-day DevOps activities, balancing operational fire drills with platform project engineering.
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🛠️ Production Runbook & Step-by-Step Resolution
Morning Operational Standup & Health Checks (20% of Day)
Start by reviewing overnight alerts, PagerDuty incident handoffs, and SLO dashboards. Check CI/CD runner queues, synthetic monitoring probes, and cluster capacity across environments. Participate in daily engineering standup with cross-functional product and backend teams to unblock deployments.
Core Platform Engineering & Infrastructure as Code (50% of Day)
Dedicate focused time to roadmap projects: authoring modular Terraform code for cloud infrastructure, building automated Kubernetes Helm charts, optimizing GitHub Actions CI/CD pipelines, and writing Policy-as-Code guardrails (OPA/Kyverno) to enforce least-privilege security.
# Typical daily CLI workflows
terraform plan -out=tfplan
git checkout -b feature/k8s-autoscaling-v2
kubectl get nodes,pods -AProduction Support, On-Call, & Developer Enablement (30% of Day)
Provide tier-2/tier-3 operational support to application teams: troubleshooting failed pipeline runs, investigating container crash cascades, diagnosing slow database queries in RDS, and assisting developers with environment provisioning.
Sample Major Projects Handled
Highlight concrete past deliverables: 1. **Zero-Downtime EKS Migration**: Migrated 60+ microservices from legacy EC2/Docker swarm to Amazon EKS with ArgoCD GitOps. 2. **Cloud Cost Optimization**: Slashed monthly cloud spend by 35% by implementing Karpenter spot autoscaling and S3 lifecycle rules. 3. **CI/CD Acceleration**: Reduced pipeline execution time from 45m to 8m using Docker BuildKit cache mounts and test sharding.
- Structure daily routine around morning telemetry audits, deep platform project work, and developer support.
- Balance 50% project engineering (Terraform, Kubernetes, pipelines) with 50% operational reliability.
- Highlight specific projects: Kubernetes migrations, CI/CD pipeline acceleration, and FinOps spot optimization.
- Emphasize close collaboration with backend teams to enable developer self-service.