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.

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