Roblox
Senior
Bootstrap a new Kubernetes networking domain for Roblox's ML training/inference infrastructure
Design a Senior Software Engineer interview for a brand-new Kubernetes Networking team at Roblox, tasked with founding the networking layer for a high-performance ML training/inference compute cluster. Focus on deep Kubernetes networking expertise, hands-on Cilium/eBPF experience, and comfort setting technical direction from zero.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Kubernetes networking architecture (ingress, service mesh)
- Cilium and eBPF hands-on expertise
- Founding new infrastructure from high ambiguity
- Networking considerations for ML training/inference workloads
- On-call ownership of critical infrastructure systems
Common question themes
Explain how eBPF/Cilium-based networking differs from traditional iptables approaches and why it matters at scale
Tell me about a time you set the technical strategy for a brand-new system with no existing architecture
How would you design a Kubernetes networking layer for a high-throughput ML training cluster
Describe a critical on-call incident in a networking or infrastructure system you owned
How do you mentor engineers while also driving execution on a 0-to-1 team
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