Member of Technical Staff - Platform

The role

You will design and build the control plane that powers the Hyperbolic GPU marketplace. You will architect abstractions, policies, and golden paths to enable developers to access GPU resources across a global network.

What you will do

• Design the tenant management system
• Build resource lifecycle APIs
• Implement identity and access control
• Establish billing and quota frameworks
• Create multi-cloud abstractions
• Craft solutions for complex distributed systems challenges

Required qualifications

• Expert in platform engineering with experience designing and building control planes for cloud platforms, developer platforms, or infrastructure services
• Expert-level software engineering skills in Go (Golang) with a track record of building and operating production distributed systems and infrastructure services
• Strong background in API design and development, including RESTful APIs, resource lifecycles, versioning strategies, and multi-cloud abstractions
• Deep understanding of multi-tenancy architecture including tenant isolation, project hierarchies, resource quotas, and billing integration
• Experience with identity, access management, and policy systems including SSO integration, organizational structures, role-based access control (RBAC), and fine-grained permissions
• Proven ability to design golden paths and developer experiences that abstract complexity while maintaining power and flexibility
• Strong systems thinking with ability to design scalable, maintainable architectures for distributed control planes
• Experience building compliance hooks, policy enforcement, and governance frameworks for cloud platforms
• Excellent communication skills with ability to collaborate across product, engineering, and business teams
• Track record of building production-grade platform services used by developers or enterprises

Nice to have

• Experience building cloud platforms, PaaS, or infrastructure-as-a-service products
• Deep experience building backend services in Go, including API servers, controllers/operators, resource lifecycle management systems, and distributed control plane components
• Knowledge of Kubernetes control plane architecture, custom resource definitions (CRDs), and operator patterns
• Familiarity with billing systems, metering, usage tracking, and quota enforcement mechanisms
• Experience with service mesh, API gateway technologies, and rate limiting strategies
• Background in security, compliance frameworks (SOC 2, GDPR, HIPAA), and audit logging
• Contributions to open-source platform or infrastructure projects
• Experience at companies like AWS, Google Cloud, Azure, or fast-growing infrastructure startups

About the company

Hyperbolic is making global AI compute liquid by bringing fragmented, heterogeneous GPU capacity together into one unified, productive platform. They are building toward a future where compute flows as freely as electricity.