Build and scale enterprise GenAI infrastructure across multi-cloud providers (AWS, Azure, GCP), implementing integrations and architecting systems for regulated industries. Requires 4+ years experience, proficiency in Python/JS/SQL, Kubernetes, and AI technologies like LLMs.
Design and build foundational data platforms, cloud infrastructure, and orchestration systems supporting AI/ML products. Requires 3+ years backend experience with Kubernetes, Terraform, Docker, AWS, Temporal, MongoDB, and Postgres.
Builds and scales high-performance training platforms for large-scale GPU clusters, architecting orchestration, scheduling, and observability for ML workloads. Requires 5+ years in infrastructure engineering with ML focus, Kubernetes expertise, and systems programming.
Owns and scales platform infrastructure including edge/cloud services on Cloudflare, GCP, Vercel and data layers like Spanner, ClickHouse, Postgres to serve millions of LLM requests daily. Requires 5+ years in production infrastructure with cloud platforms, databases, and full-stack TypeScript expertise.
Designs, architects, and scales production GPU/HPC clusters globally. Debugs hardware/software issues, automates operations, and mentors juniors. Requires 5+ years experience and hybrid SF presence.