Q: Are you comfortable working in a rotational on-call support model? How do you distinguish responsibilities between an Operations team and a Backend Engineering team?
How to operate effectively in a 24/7 rotational on-call support model, establish clear boundaries between Operations and Backend teams, and prevent alert fatigue.
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🛠️ Production Runbook & Step-by-Step Resolution
Rotational On-Call Cadence & Handover Protocols
On-call shifts run on scheduled rotations using PagerDuty / Opsgenie with primary and secondary responders. Shift handovers include a formal 15-minute sync reviewing unresolved non-critical alerts, ongoing maintenance windows, and planned releases.
Clear Boundary: Operations Team Responsibilities
- Core cloud infrastructure (AWS/Azure networking, VPCs, Transit Gateways, IAM). - Kubernetes cluster control plane, worker node pools, CNI, CSI, and ingress controllers. - CI/CD runner infrastructure, artifact registries, and GitOps engines. - Disaster recovery, regional failover orchestration, and telemetry platforms (Prometheus, Loki, Datadog).
Clear Boundary: Backend Engineering Responsibilities
- Application code, API endpoints, business logic algorithms, and data serialization. - Relational database schema designs, SQL query optimization, and ORM migrations. - Application-level error handling, retry policies, and domain service dependencies.
Triage & Escalation Workflow During P1 Incidents
When a P1 fires, Operations acts as Incident Commander: triaging whether the failure is platform-wide (node down, network partition) or application-specific (null pointer, broken SQL query). If application-specific, the on-call engineer pages the designated Backend service SME.
- Comfortable in 24/7 rotational on-call with primary/secondary escalation and formal shift handoffs.
- Operations owns platform infrastructure, cluster health, networking, and CI/CD availability.
- Backend owns application business logic, API implementations, and database query performance.
- Operations acts as Incident Commander on P1s, pulling in backend SMEs when application code is the root cause.