Senior Infrastructure Engineer

Python, C++, PostgreSQL, Linux, Docker, KVM, Redis, Terraform, AWS, REST/gRPC APIs

Distributed Systems: Experience building high-throughput backend systems or compute clouds

Compute Orchestration: Familiarity with Docker, or custom scheduling frameworks

GPU Infrastructure: Understanding of GPU provisioning, driver management, and workload scheduling

Billing & Metering: Implemented or integrated usage-based billing and account credit systems

Marketplace Dynamics: Knowledge of dynamic pricing, spot instances, or supply-demand balancing mechanisms

Security & Multi-Tenancy: Experience designing secure, multi-tenant systems in cloud environments

Programming: Strong programming skills in Python and C++; ability to write performant, maintainable, well-architected code

Database Expertise: Comfortable designing schemas and queries for large-scale data systems (PostgreSQL preferred)

Bonus points for:

Experience with GPU security, virtualization, or zero-trust compute isolation

Prior startup experience or end-to-end product ownership

After submitting your application, our technical team reviews your credentials. If selected, you’ll proceed through the following stages:

15 min – Initial screening with member of your future team (virtual)

40 min – Systems and architectures (virtual)

1 hour – LLM-assisted coding assessment (virtual)

2 hours – Meet and greet with coding assessment (on-site)