Sr. Site Reliability Engineer

Role Overview

We are seeking a high-caliber Site Reliability Engineer (SRE) to join our Forward Engineering team. You will be the guardian of our production ecosystems, ensuring that our complex, data-driven AI platforms remain resilient, scalable, and highly performant. This role is a hybrid of software engineering and systems architecture, with a specialized focus on MLOps—bridging the gap between model development and production-grade reliability.

Key Responsibilities

1. Reliability & Performance Engineering

• SLA/SLO Management: Define, monitor, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for critical AI/ML services.
• Error Budgeting: Manage error budgets to balance the velocity of feature releases from the ML team with the stability of the production environment.
• Scalability: Architect and manage auto-scaling strategies for Kubernetes (GKE) to handle fluctuating workloads during model training and high-volume inference.

2. MLOps & AI Infrastructure

• Model Serving Reliability: Ensure the high availability of Vertex AI endpoints and custom inference services.
• GPU/TPU Optimization: Monitor and optimize compute resource utili