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


• Bachelors or Masters degree in Computer Science, Engineering, or a related field