Senior Infrastructure Engineer
Core
Architecting distributed systems for real-time voice processing, ML inference, and enterprise telephony integration to handle millions of AI-powered phone conversations.
Role type
Senior Infrastructure Engineer (Real-time Systems & ML Infrastructure)
Builds
Distributed systems, ML inference pipelines, and telephony integration layers
Domain
Telecommunications, AI/ML, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Distributed systems architecture, Cloud infrastructure (AWS/GCP), Real-time systems, Kubernetes, Telephony protocols (SIP/VoIP), Security & compliance
Preferred skills
ML infrastructure, GPU computing, Real-time audio/video processing
Technologies
Kubernetes, AWS, GCP, Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Nvidia Hardware
Responsibilities
Design scalable distributed systems for high-volume real-time voice processing; Build and optimize infrastructure for AI model training and inference; Integrate platform with enterprise phone systems and VoIP infrastructure; Implement monitoring, alerting, and incident response for 24/7 uptime; Solve scaling challenges for exponential call volume growth; Enforce security best practices and compliance for regulated industries
Seniority
Senior, hands-on IC