Quality Management API 409 Conflict during high-volume BYOC call metadata sync

My configuration keeps failing… specifically regarding the synchronization of call disposition metadata from our custom quality assurance platform back into Genesys Cloud via the Quality API. We are operating 15 BYOC trunks across APAC regions, primarily Singapore and Jakarta, with a combined daily call volume exceeding 120k interactions. The current workflow involves an Architect flow that triggers a webhook upon call completion, which then pushes a JSON payload containing the conversation ID and agent-assigned quality score to our internal database. A separate cron job aggregates these scores and attempts to update the Interaction object in Genesys Cloud using the PATCH /api/v2/quality/interactions/{conversationId} endpoint.

The issue manifests as a 409 Conflict error on approximately 15% of the update requests. The error payload indicates: “Resource has been modified since the last fetch”. This suggests that the Interaction object’s ETag is changing between the time we fetch the initial metadata and when we attempt to push the final quality score. Given the high concurrency of our outbound campaigns, multiple background processes (such as automated transcription services and post-call surveys) appear to be modifying the same Interaction object concurrently. The current retry logic in our script performs a simple fetch-and-retry, but this results in infinite loops when the race condition persists.

Is there a recommended pattern for handling optimistic locking conflicts in high-volume environments? Should we be using a different API endpoint that supports conditional updates without requiring a full re-fetch of the resource state? Alternatively, is there a way to suppress the ETag check for specific metadata fields related to quality scoring? We are using the Genesys Cloud Java SDK version 12.5.0, and the Architect flows are running on the latest stable release. Any insights on managing these concurrent writes would be appreciated, as the current failure rate is impacting our real-time quality dashboards.