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.

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📌 Senior Distributed Systems Engineer ML (Winnipeg)
🏢 Workday
📍 Winnipeg