Senior Software Engineer, Infrastructure
Core
Architecting a high-uptime, low-latency distributed inference system for a real-time conversational interface (Stream) involving ML and data processing.
Role type
Senior Infrastructure Engineer (Real-time Systems)
Builds
Distributed inference system, data pipelines, observability tools for a consumer-facing voice interface
Domain
Consumer technology, Real-time systems, Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Javascript, Distributed systems architecture, Real-time service development, Observability, Low-latency optimization, Production system ownership
Preferred skills
Experience in big infra teams (Google/Meta), Technical leadership
Technologies
Python, Javascript
Responsibilities
Architect a high-uptime, low-maintenance, and reliable distributed inference system; Lead observability and oncall; Achieve very low latency & jitter with attention to P99 performance; Develop a safe rollout to production process; Implement data pipelines for user-facing features and internal tooling
Seniority
Senior, hands-on IC