Become a Senior Infrastructure Engineer at Peripheral, where you’ll design high-performance cloud infrastructures for sports analytics and immersive experiences.

Your impact is immediate and significant. You will play a key role in establishing and maintaining the cloud infrastructure that supports Peripheral's creative projects. Close collaboration with the CTO and research engineers will be essential as you deliver scalable systems for ML training and serving. Your robust background in DevOps and MLOps will be crucial for navigating production systems. Key Responsibilities:
Build and manage cloud infrastructure for ML applications
Scale workflows for foundation model training
Design robust infrastructure for model inference
Develop reliable data pipelines for diverse media outputs
Establish CI/CD and observability standards Requirements:
Master's or PhD in Computer Science or similar
Minimum 4 years in cloud infrastructure, preferably ML
Deep experience with AWS/GCP ecosystem
Proven skills in distributed training and orchestration
Knowledge of networking and security best practices Bring your cloud expertise to redefine the future of spatial intelligence.

📌 Senior Infrastructure Engineer At Peripheral Toronto (Canada)
🏢 Jaide Health
📍 Canada