Chief Architect - GPU & K8s for Autonomous Cloud Optimization (Remote) - Living Talent

Minneapolis, MN

Key Responsibilities:

Architecture & Development: Kubernetes-based ML/AI optimization platforms
Leadership & Collaboration: with C-staff, product management, engineering, and design partners.
Communication: Create detailed architecture diagrams, documents, and presentations.
User Experience Focus: for Infrastructure Admin and MLOps staff.
Open Source Community: Stay actively involved with CNCF and related projects.
Enterprise-Class Solutions: Drive & deliver solutions for enterprise-class data, ML, AI applications.
FinOps & SRE Best Practices: FinOps for cloud financial management, modern SRE practices.

Qualifications:

Extensive Experience:

Strong experience:

Kubernetes-based ML/AI systems (Kubeflow, Kueue, KServe, GPU Operators, DRA, Karpenter)

Deep knowledge:

ML/AI use cases & customer stories of model development, training, inference, & hardware accelerator usage (CPU, GPU, TPU).
Modern cloud-native architectures (scalability, availability, reliability, security, observability).
Proven track record of delivering complex distributed systems.
Active involvement in open-source communities, particularly CNCF and related projects.
Strong leadership and team collaboration skills.
Excellent communication skills, both verbal and written.

Preferred Qualifications:

Knowledge of additional ML/AI frameworks and tools.
Experience in DevOps practices and tools.
Certification in Kubernetes or related technologies.
Awareness of FinOps and SRE best practices
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Source : Living Talent