Software Engineer, Inference Platform

Job summary

Responsibilities

We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services.

• Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and…
• Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes custom resource definitions, failure domains, service boundaries, and system…
• Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs.
• Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set…
• Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident…

What they're looking for

• 3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
• Experience in distributed systems, ideally with Kubernetes.
• Experience building highly available, latency-sensitive systems at scale.
• Experience with security (certificates, TLS, mTLS).
• Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus.

Tech stack

• Kubernetes
• Go
• C++