Description:

Lead Software Platform Engineer focused on MLOps and distributed systems.
Own and scale AI and data infrastructure for scientific applications, ensuring production-grade AI/ML workflows.

Requirements:

10+ years of experience in software and infrastructure engineering, with a focus on distributed, cloud-native systems.
Proven technical leadership in designing multi-tenant platforms, including security and compliance for sensitive data.
Extensive experience with AI/ML infrastructure, model deployment, and lifecycle management in production.
Proficiency in TypeScript and Python, with strong API design skills.
Familiarity with AWS, containerized workloads, and infrastructure-as-code tools.

Skills