Senior Engineer for Observability in AI

Drive AI advancements as a Senior Engineer in observability at TR. Focus on designing and operating observability tools for AI and LLM workloads in a hybrid work model.

As a key member of the Platform Engineering & Enterprise AI Services team, you will oversee the end-to-end observability stack for AI products. Your expertise will empower teams to enhance model quality, reduce latency, and control operational costs. Collaborating with cross-functional stakeholders, you will ensure robust performance monitoring and issue detection in production.

Key Responsibilities: • Define Kubernetes deployment standards for AI services • Own AI observability platform with Braintrust and Langfuse • Standardize telemetry across AI products for governance • Build telemetry pipelines and performance dashboards • Establish monitoring and incident response practices

Requirements: • 5+ years in SRE or Observability Engineering • Deep Kubernetes experience in production environmen...