Software Architect - Cloud Native Software - GPU Orchestration - Startup
Software Architect - Cloud Native Software - GPU Orchestration - Startup
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$ 200000 - 300000
1 Vacancy
Job Description
- 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 Kubernetesfriendly 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.
- EnterpriseClass Solutions: Drive and deliver solutions for enterpriseclass 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 infrastructurelevel software architecture and development
- Expertise in distributed systems
- Proficiency with Linux and virtualization platforms
- Native Kubernetes expertise
- Experience with Kubernetesbased 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
Employment Type
Full-Time
