Senior Platform Engineer

Infrastructure and Orchestration:

• Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure using infrastructure-as-code (Pulumi/Terraform).
• Handle dynamic scaling, state synchronization, and concurrent operations across hundreds of heterogeneous nodes.
• Architect fault-tolerant infrastructure for distributed ML. GPU clusters, NVIDIA runtime, S3 checkpointing.

Networking and Data Handling:

• Build systems that simulate and handle real-world network conditions — bandwidth shaping, latency injection, packet loss.
• Manage dynamic node churn and ensuring efficient data flow across workers with heterogeneous connectivity, because our training happens on consumer nodes and non co-located infrastructure, not in a datacenter.
• Handle Large dataset management and streaming.

Required Skills:

• Experience in a startup environment with an emphasis on micro-services orchestration or big tech background experience.
• Deep understanding of multi-cloud infra & distributed training systems.
• Excellent be a team player with high attention to detail.