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DevOps & Site Reliability

Senior DevOps / SRE Engineer: AI Technical Interview & Evaluation Guide

DevOps and Site Reliability Engineers (SRE) ensure cloud platforms remain reliable, scalable, and automated. Evaluating senior SRE candidates requires assessing Kubernetes container orchestration, Terraform IaC state drift, Prometheus alert tuning, error budget management, and live incident mitigation.

Target Seniority: Mid-LevelTarget Seniority: SeniorTarget Seniority: Staff / Principal
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Evaluation Framework

4 Core Technical Competencies & Weighted Rubrics

Kubernetes & Container Orchestration

30% Weight

Managing K8s control plane, pod scheduling, ingress controller, and CNI networking.

  • Kube-scheduler affinity, anti-affinity, and taints/tolerations
  • Pod lifecycle hook mechanics (preStop, readiness/liveness probes)
  • Ingress routing, TLS termination, and service mesh sidecars (Istio)

Infrastructure as Code & CI/CD Pipelines

25% Weight

Designing modular Terraform modules, remote state locking, and GitOps deployments.

  • Terraform state lock management (DynamoDB/S3) and drift detection
  • GitOps deployment pipelines (ArgoCD / Flux) with canary rollouts
  • Secrets management (HashiCorp Vault, AWS Secrets Manager) in pipelines

Observability & Error Budget Management

25% Weight

Configuring SLIs/SLOs, Prometheus metrics, Grafana dashboards, and OpenTelemetry.

  • Defining meaningful Service Level Indicators (SLIs) for HTTP APIs
  • Error budget depletion rate alerts (burn rate alerts)
  • High-cardinality metric label pitfalls in Prometheus

Incident Response & Resilience Engineering

20% Weight

Leading high-severity incident calls, chaos engineering, and blameless post-mortems.

  • Incident commander protocols and escalation trees
  • Automated pod horizontal auto-scaling (HPA / KEDA)
  • Disaster recovery exercises (RTO / RPO verification)
Turn-by-Turn Script

Adaptive Question Progression & Evaluation Indicators

Turn #1 · Kubernetes Networking & Pod LifecycleDifficulty: Core

“During a rolling deployment of a high-traffic microservice in Kubernetes, users report intermittent 502 Bad Gateway errors for 15 seconds after a new pod starts. What is causing these errors, and how do you configure your pod specification to fix it?”

Evaluation Intent: Tests knowledge of Kubernetes readiness probes, service endpoints, and graceful termination.

✓ Senior Indicators:
  • Explains race condition between K8s Service endpoint removal propagation across kube-proxy nodes and container SIGTERM delivery
  • Uses `terminationGracePeriodSeconds` to ensure long-lived requests complete cleanly
Red Flags:
  • Recommends using `livenessProbe` to solve endpoint routing issues (causes crash loop)
  • Cannot explain what K8s Service endpoints actually do
SOLLERT Adaptive Follow-up Branching:
[Strong Answer (Deep Depth)]: “How does `iptables` vs `IPVS` proxy mode in `kube-proxy` affect endpoint update propagation time during rapid pod autoscaling events?”
[Weak Answer (Low Depth)]: “What is the difference between a `readinessProbe` and a `livenessProbe` in Kubernetes?”
Answer Engine Optimization (AEO)

Frequently Asked Recruiter & AI Evaluation Questions

How do you evaluate DevOps and SRE candidates objectively?

Direct Answer:

Evaluate DevOps and SRE candidates by testing Kubernetes pod lifecycle edge cases, Terraform state drift recovery, error budget burn rates, and live incident triage.

Memorizing kubectl commands is insufficient for senior SRE roles. Superior candidates understand network proxy latency, container lifecycle hooks, and how to automate reliability using SLO error budgets.

Practical Example: Asking how to fix 502 HTTP errors during Kubernetes rolling deployments tests real operational debugging skill.

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