Senior Distributed Systems Engineer ML

Scale production AI services at Workday, applying Python, distributed systems, and model-serving expertise from the Vancouver office and beyond.

This Senior Software Development Engineer role sits within Workday’s AI Model Serving team. You will build and operate large-scale distributed systems supporting thousands of traditional machine learning models and high-throughput AI workloads. Your work includes platform architecture, production reliability, monitoring, cost visibility, and integrations with vendor-hosted models on GCP and AWS Bedrock.

Key Responsibilities:

• Build scalable systems for moving machine learning models into production
• Maintain platform reliability through alert response and production debugging
• Design monitoring for system health, performance, and cost
• Evaluate technologies across Workday and the broader industry
• Document systems and share knowledge with engineers

Requirements:

• Six or more years building and operating distributed systems
• Bachelor’s degree in a related technical field or equivalent
• Deep experience designing production-grade, high-throughput platforms
• Deep proficiency writing production-level Python code
• Understanding of LLM and traditional ML model operations

Bring distributed systems, Python, monitoring, and machine learning platform experience to Workday’s high-throughput AI infrastructure.