Senior Full-Stack Lead Engineer
Core
Build a unified, self-service portal enabling AI researchers to manage, monitor, and optimize Managed AI research Superclusters.
Role type
Senior Full-Stack Lead Engineer (AI Infrastructure)
Builds
High-scale web products, self-service portals, and AI infrastructure platforms for research teams.
Domain
AI Infrastructure / Cloud Computing / High-Performance Computing
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud expertise (AWS/GCP/Azure), Infrastructure as Code, Containers & Orchestration (Docker/Kubernetes), CI/CD, Full-stack development (React/Next.js/Vue/Nuxt, TypeScript, Node.js/Python/Golang), API design (REST), Automated testing, Observability (OpenSearch/Prometheus/Grafana/Loki), Distributed systems debugging.
Preferred skills
ML platform depth (PyTorch/TensorFlow/JAX, Ray), Datacenter-scale operational experience, GPU cluster debugging, AI-assisted development tools usage.
Technologies
React, Next.js, Vue, Nuxt, TypeScript, Node.js, Python, Golang, Docker, Kubernetes, AWS, GCP, Azure, OpenSearch, Prometheus, Grafana, Loki, Ray, PyTorch, TensorFlow, JAX, Cursor.
Responsibilities
Lead architecture and delivery of high-scale web products with SLO/SLA targets; Own multi-team initiatives end-to-end from discovery to rollout; Drive reliability, performance, and observability improvements to exascale standards; Establish engineering standards and reusable platforms; Collaborate with AI Research teams to deliver next-gen UX; Mentor engineers and improve code quality/testing/security.
Seniority
Senior, hands-on IC with leadership responsibilities