Top 15 DevOps Interview Questions to Master in 2025
Introduction
As cloud-native technologies and AI-powered operations reshape the infrastructure landscape, DevOps roles are becoming more strategic than ever.
This guide covers the 15 most critical DevOps interview questions you’ll face at top tech companies in 2025, from GitOps workflows to AI-driven incident management.
Core Infrastructure Concepts
1. Explain the Difference Between Traditional CI/CD and GitOps in 2025
Key Differentiators:
– CI/CD: Push-based, artifact-centric, manual approvals
– GitOps: Pull-based, declarative everything, automated reconciliation
– 2025 Trend: AI-assisted drift detection with natural language policies
2. How Would You Secure a Multi-Cloud Kubernetes Deployment?
Modern Security Stack:
– Identity: SPIFFE/SPIRE for workload identity
– Network: Cilium with Hubble for eBPF-powered observability
– Secrets: External Secrets Operator with Vault
– Runtime: Falco + AI anomaly detection
3. Design a Zero-Downtime Migration from VMs to Serverless
Step-by-Step Plan:
1. Traffic mirroring with Istio
2. State management via Cloudflare Durable Objects
3. Cold start optimization using predictive scaling
4. Fallback pipeline with automated rollback triggers
Coding & Automation
4. Write a Terraform Module for Auto-Scaling AI Inference Endpoints
“`hcl
module “inference_autoscaler” {
source = “terraform-aws-modules/autoscaling/aws”
name = “llm-inference”
min_size = 2
max_size = 10
scaling_policies = {
cpu = {
target_value = 40
metric_name = “CPUUtilization”
}
latency = {
target_value = 100 # ms
metric_name = “InferenceLatency”
}
}
ai_accelerator = “aws-trainium”
}
“`
5. Optimize Docker Builds for Heterogeneous Compute (CPU/GPU/TPU)
Cutting-Edge Techniques:
– Multi-platform builds with Docker Buildx
– Layer sharing via content-addressable storage
– BuildKit cache mounts for dependency management
– Hardware-aware builds using –platform flags
Observability & SRE
6. Implement SLOs for a Blockchain Node Service
Service Level Objectives:
– Availability: 99.95% uptime (3.6h downtime/year)
– Latency: 95% of transactions <2s finality
– Novel 2025 Metric: Carbon efficiency per transaction
7. Debug a Memory Leak in a Distributed Rust Service
Modern Toolchain:
1. Continuous profiling with Parca
2. eBPF-based allocation tracking
3. AI-assisted root cause analysis (OpsGPT)
4. WASM sandboxing for unsafe code
Cloud-Native Architecture
8. Design a Multi-Region Database for Autonomous Vehicles
2025 Requirements:
– Edge sync with CRDTs
– Regulatory compliance per jurisdiction
– Disconnected operation support
– Energy-efficient replication
9. Implement Cost Controls for Generative AI Workloads
FinOps Strategies:
– Spot instances with checkpointing
– Model quantization aware scheduling
– Usage-based quotas with hard limits
– Carbon-aware scheduling
Security & Compliance
10. Harden a Supply Chain for ML Models
Critical Controls:
– SBOM generation for PyTorch dependencies
– Sigstore signing for model artifacts
– Runtime attestation with Confidential Computing
– Compromise detection via tamper-proof logs
11. Respond to a Zero-Day in a Widely Used OSS Tool
Incident Playbook:
1. Automated CVE triage with EPSS scoring
2. Artifact provenance verification
3. Immutable rebuilds from trusted sources
4. Patch propagation via TUF repositories
Behavioral & Leadership
12. How Would You Introduce AI into Incident Management Without Alienating Engineers?
Change Management Plan:
– Co-pilot approach: AI suggests, humans decide
– Explainability: Show model confidence scores
– Feedback loops: Engineer ratings on AI suggestions
– Gradual rollout: Start with non-critical alerts
13. Describe a Time You Had to Balance Velocity vs Stability
STAR Framework Example:
– Situation: Holiday sales traffic spike
– Task: Deploy new caching layer safely
– Action: Used feature flags + dark launching
– Result: Zero incidents with 40% latency improvement
The 2025 Curveball Question
Example: “How would you explain container orchestration to a medieval king?”
Sample Answer:
“Like managing your royal messengers (containers) across the kingdom (cluster). The Kubernetes herald (control plane) ensures messages reach their destinations, replaces fallen messengers, and balances their loads across castle roads (nodes).”
Preparation Resources
1. Kubernetes Release Notes (Stay current with 2025 features)
2. CNCF Webinars (Emerging tech deep dives)
3. Terraform 1.7+ Docs (New AI integrations)
4. Chaos Engineering Slack (Real-world failure patterns)