Design, implement, and deliver highly scalable features for the AI Platform
Architect and implement the consolidation of applications from multiple EKS clusters
Design a shared continuous deployment and configuration management system
Lead the strategic rollout of ArgoCD across a fleet of clusters
Own and develop features including infrastructure as code
Deploy and orchestrate containers in production environments
Oversee the implementation and operation of distributed systems
Actively engage with Tech Leads and AI Engineers across teams

Requirements

10+ years of total software engineering or DevOps experience
8+ years focused on Infrastructure Automation, Site Reliability Engineering (SRE), or release engineering in a Linux environment
5+ years of hands-on experience managing Kubernetes in production
Must have experience managing multi-cluster environments (fleets of 10+ clusters or 500+ nodes)
5+ years of experience using Terraform to manage public cloud resources (AWS/GCP)
3+ years of specific experience designing GitOps workflows using ArgoCD
5+ years of professional programming experience in Python
Proven track record of architecting distributed systems
Experience building end-to-end CI/CD pipelines (using Jenkins, GitLab CI, or similar)
Experience with communication protocols, RESTful services, microservice architecture

Benefits

Workday Bonus Plan
role-specific commission/bonus
annual refresh stock grants
flexible work arrangements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Infrastructure AutomationSite Reliability Engineeringrelease engineeringKubernetesTerraformGitOpsPythonCI/CD pipelinesRESTful servicesmicroservice architecture

Soft skills

leadershipstrategic planningcollaborationcommunication