Platform Engineer, AI/ML Infrastructure

📋 Description

• Build and operate Kubernetes-based infrastructure for demanding AI/ML workloads, including GPU
• Design and implement platform services for orchestration, data ingest, model serving, and results
• Write infrastructure as code and build GitOps pipelines so environments are reproducible from source
• Build and operate CI/CD pipelines that produce versioned, signed, scanned release artifacts along
• Own reliability: capacity planning, upgrade paths, failure-mode analysis, backup and recovery
• Implement monitoring, logging, tracing, and alerting, and define the service level objectives

🎯 Requirements

• U.S. citizenship, and the ability to obtain and maintain a U.S. security clearance
• Four or more years of hands-on experience building or operating production infrastructure
• Production experience with Kubernetes and containerized workloads
• Experience with at least one major cloud platform: AWS, Azure, or Google Cloud
• Experience with infrastructure as code and CI/CD, using tools such as Terraform, OpenTofu, Pulumi
• Working proficiency in Python, Go, Bash, or a comparable language

🎁 Benefits

• 100% employer-paid medical premiums for employees
• Self-managed PTO with a minimum time off requirement
• Work alongside pioneers of AI, solving problems that matter
• Opportunities to contribute to open source projects
• Global collaboration with experts
• Career framework providing pathway and recognition of increased impact