Software Engineer in Workday's AI Platform team, delivering scalable features and leading infrastructure initiatives. Collaborate using public clouds like AWS and GCP for continuous deployment.
Responsibilities
Design, implement, and deliver scalable features for the AI Platform
Lead high-impact infrastructure initiatives
Work with public clouds (e.g., IAAS, AWS, GCP)
Architect consolidation of applications from multiple EKS clusters
Design a global continuous deployment and configuration management system
Lead rollout of ArgoCD across clusters
Own and develop features including infrastructure as code
Deploy and orchestrate containers in production environments
Oversee implementation of distributed systems
Collaborate with Tech Leads and AI Engineers
Requirements
7+ years of total software engineering or DevOps experience
5+ years focused specifically on Infrastructure Automation, Site Reliability Engineering (SRE), or release engineering in a Linux environment
4+ years managing Kubernetes in production
Experience managing multi-cluster environments (10+ clusters or 500+ nodes)
4+ years using Terraform to manage public cloud resources (AWS/GCP)
2+ years designing GitOps workflows using ArgoCD
4+ years of professional programming experience in Python
Proven track record of architecting distributed systems
Experience building end-to-end CI/CD pipelines that enforce security compliance (SOC2, FedRAMP)
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