Engineering Manager, Runtime - Storage

Job summary

Responsibilities

Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload.

• Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise
• Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence
• Provide regular coaching, feedback, and career development support to your direct reports
• Own on-call health for the team’s services, including escalation paths and follow-through on incidents
• Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering…

What they're looking for

• Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management
• Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure
• Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions
• Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts
• Understanding of how container images are structured, stored, and delivered at scale

Tech stack

• Spark
• Go
• Rust
• C++
• Kubernetes