Workday

Software Engineer to design, implement, and deliver highly scalable features for Workday's Machine Learning Runtime platform, focusing on microservices that power production ML features. The role involves developing frameworks, automation, and tooling for ML Runtime Inference applications, working with public clouds, and deploying/orchestrating containers in production environments.

This Principal Software Engineer role focuses on building and scaling MLOps and CloudOps infrastructure for Workday's AI platform. The engineer will design and implement microservices, APIs, and cloud infrastructure using Python, Go, Terraform, and Kubernetes, with a focus on enabling the development, training, deployment, and lifecycle management of ML capabilities. The role also involves supporting Agentic AI systems and LLM-based applications, requiring experience with distributed systems, cloud computing, and infrastructure-as-code.

Senior Software Engineer role focused on building and operating backend services for AI-powered applications and agentic systems within an enterprise AI platform. Responsibilities include developing production-grade services, designing APIs, building data pipelines, applying distributed systems principles, and ensuring security and compliance. Requires strong Python expertise, experience with cloud platforms, and understanding of distributed systems.