Cloud Native - Live Migration - Run GPU on Kubernetes

Architect needed for Series A Startup (team of 30)

100% Remote (in North America)

Equity participation

Base Salary: $200k-$300k

Key Responsibilities:

• Drive native Kubernetes architectures.
• Ensure Kubernetes-friendly installation and user experience.
• Extend capabilities to support GPUs, TPUs, FPGAs, and other accelerators.
• Collaborate with Product and Customers, acting as a technical translator to Product Management. Ensure appropriate prioritization of features and engage with customers during early evaluations and discussions to gather market insights.
• Communication: Create detailed architecture diagrams, documents, and presentations.
• Open Source Community: Stay actively involved with CNCF and related projects.
• Enterprise-Class Solutions: Drive and deliver solutions for enterprise-class data, ML, and AI applications.
• FinOps & SRE Best Practices: Implement FinOps for cloud financial management and modern SRE practices.

Qualifications:

• Startup experience
• Entrepreneurial mindset
• 10+ years of infrastructure-level software architecture and development
• Expertise in distributed systems
• Proficiency with Linux and virtualization platforms
• Native Kubernetes expertise
• Experience with Kubernetes-based ML/AI systems (Kubeflow, Kueue, KServe, GPU Operators, DRA, Karpenter)

Deep Knowledge:

• ML/AI use cases and customer stories of model development, training, inference, and hardware accelerator usage
• Proven track record of delivering complex distributed systems
• Involvement in CNCF or similar communities
• 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 a related field