Staff Product Development Engineer

• Define reliability architecture standards for AI workloads across Ad Platforms.
• Establish latency SLOs and reliability targets for AI-dependent services.
• Design and implement circuit breaker, retry, fallback, and graceful degradation strategies.
• Lead multi-provider failover strategies across Azure, OpenAI, Bedrock, and future model providers.
• Define production readiness review standards for AI workloads.

Runtime and Scalability Engineering:

• Lead concurrency modelling and throughput validation for model-dependent services.
• Design scalable backend services that support high-volume AI traffic.
• Partner with Infrastructure Engineering on capacity planning for AI workloads.
• Drive resilience testing and load validation before beta and production releases.

Operational Standards and Governance:

• Establish AI production reliability best practices.
• Lead post-incident analysis for AI-related outages or degradations.
• Identify systemic reliability risks and drive architectural improvements.
• Partner with AI Core to ensure shared AI services meet enterprise production standards.

Engineering Excellence:

• Contribute to critical reliability and runtime code paths.
• Mentor engineers on distributed systems and resilience patterns.
• Raise the bar for operational rigour and runtime reliability across the organisation.