Member of Technical Staff - Platform Engineering
Modal Labs · New York
CHECKED 15H AGO
Infrastructureonsitesenior$220k–$300k
At a glance
Highlights
- Build the infrastructure layer powering AI workloads at global scale.
- Improve reliability and performance of critical production cloud services.
- Help customers serve low-latency inference and scale sandboxes fast.
What they offer
- Equity
Ideal candidate
A deep systems thinker obsessed with reliability who thrives helping others move faster at scale. You care about operational excellence and architecting resilient production platforms.
Requirements
- 5+ years of experience writing high-quality production code
- 2+ years of on-call experience for critical production services
- Strong cloud skills and deep familiarity with at least one hyperscaler cloud (AWS preferred)
- Familiarity with autoscaling, fleet management and capacity planning at scale
- Experience operating databases, monitoring, CI/CD and other infrastructure at scale
- Experience owning and scaling Kubernetes clusters to thousands of nodes a plus
- Experience with systems safety research (e.g. STAMP) and control theory a plus
- Ability to work in-person in NYC or Stockholm offices
- remote policy
- on-site required
Lab profile
About Modal Labs
Serverless cloud infrastructure for AI workloads with instant GPU compute.
What they build
- Serverless GPU cloud platform
- Python SDK
- Cloud sandboxes
Known for
- Systems engineering at scale
- ML performance optimization
- Developer-first experience