Build AI infrastructure at Workday with Python and Kubernetes expertise. This flexible-work role supports production services for AI agents. Software Development Engineers in Workday’s AI Platform organization build the infrastructure development platform for AI applications. You will design backend services, distributed systems, and tooling supporting development, deployment, testing, and operations. The work helps teams scale AI-powered workflows reliably. Key Responsibilities:
Build services supporting agent deployment, testing, and lifecycle management Develop workflow coordination, state management, and tool integration systems Write maintainable Python code for platform capabilities and APIs Deploy and operate reliable Kubernetes services Improve performance across latency, throughput, and fault tolerance Requirements:
Three or more years building backend systems or services Strong Python proficiency, or comparable Go or Java experience Experience designing distributed systems and scalable services Experience operating services in Kubernetes-based environments Bachelor’s degree or equivalent practical experience Develop AI agent infrastructure through Python, Kubernetes, distributed systems, and scalable backend services at Workday.
#J-18808-Ljbffr
AI Infrastructure Software Engineer in Vancouver employer: Workday
At Workday, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior Product Data Scientist, you will not only have the opportunity to drive impactful business decisions but also benefit from continuous professional development and a supportive environment that values your contributions. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a network of like-minded professionals, making Workday an exceptional place to grow your career.
