Lead Infrastructure & Platform Engineer

StudyFetch is the #1 AI-native learning platform globally, transforming how millions of students learn through personalized AI-powered education. The Lead Infrastructure & Platform Engineer will own the infrastructure-as-code platform and lead the development of GPU infrastructure, ensuring reliability and security while supporting the engineering team in deploying and operating their systems.

Responsibilities:

• The platform, end to end. Our infrastructure-as-code (Pulumi/TypeScript on GCP), the Kubernetes clusters, the Shared VPC and networking, the CI/CD and deploy tooling, secrets, and the databases behind them. You own how the whole thing fits together and how the team ships on top of it
• Reliability and the on-call that follows. Monitoring, alerting, incident response, and the postmortems that make the next incident less likely. When production has a bad night, you're the person who understands why and makes sure it doesn't repeat
• Our own GPU infrastructure, from the ground up. We're standing up GPU capacity in a colocation facility. You'll help design and build it: hardware and capacity planning, physical and virtual networking, the platform layer that makes those GPUs usable for model serving, and the path that connects it cleanly to our cloud environment. This is a meaningful part of the role, and it's new ground for the company
• The GPU serving platform. The clusters and pipelines that run our self-hosted models and speech/ASR workloads, keeping latency, cost, and utilization where they need to be for real users at scale
• Security and compliance posture. We hold ourselves to a real bar (SOC 2, continuous scanning, least-privilege IAM). You keep the platform audit-ready without slowing the team down
• The bar for the team. The patterns you set for how we deploy, secure, and operate are the ones everyone else follows. As the work grows, you'll shape and help grow the team that does it with you