Azure Architect for Backend Improvement

Hiring an Azure Backend Expert
I need an experienced Azure architect/backend engineer to review and improve an existing production backend for scalability, speed, and reliability.
The stack includes Azure Container Apps, Service Bus, PostgreSQL, Redis, Blob Storage, Key Vault, Managed Identities, Azure OpenAI, Application Insights/Log Analytics, and Bicep infrastructure-as-code.
Current priority: improve queue-worker throughput and autoscaling. Workers are not fully utilizing configured concurrency, causing avoidable processing delays.
Looking for proven experience with:
- Azure Container Apps and KEDA autoscaling
- Azure Service Bus batching, prefetching, retries, lock renewal, DLQs, and high-throughput consumers
- Python async backend architecture
- Redis/PostgreSQL performance and distributed-workload design
- Azure OpenAI rate limits and resilient request handling
- Bicep/Terraform, monitoring, load testing, and production hardening
Deliverables: architecture review, prioritized performance plan, implementation of agreed fixes, load testing, monitoring/alerting improvements, and documentation.
Please include relevant examples of Azure queue-processing or high-throughput backend systems you have worked on.