Azure Deployment for High-Frequency Trading Algorithm

I have a fully-built high-frequency trading algorithm and now need it running reliably in the Microsoft Azure cloud. Your mission is to design and implement the cloud architecture, move the existing code into that environment, and fine-tune everything for the low-latency execution HFT demands.

Here is what I expect the engagement to cover:

• Environment design and provisioning — choose the right Azure services (e.g., VM scale sets, AKS, Functions, Event Hubs, low-latency networking) so the strategy can scale without sacrificing execution speed.
• Code onboarding — containerise or otherwise package the current codebase, handle secrets securely, and wire it to real-time market data and broker endpoints.
• Deployment automation — set up CI/CD in Azure DevOps or GitHub Actions so every update rolls out with a single push.
• Observability — integrate logging, metrics, and alerting so I can see performance and latency in real time.
• Knowledge transfer — concise runbook and architecture diagram that make future maintenance straightforward.

Acceptance criteria
1. Strategy runs end-to-end on Azure, executing live trades in a sandbox or production account.
2. Round-trip latency and throughput metrics logged and metered.
3. All infrastructure can be recreated from version-controlled IaC (Bicep, ARM, or Terraform).
4. Clear documentation delivered.

If you have a track record of deploying latency-sensitive workloads, let’s get started.