Become a key player at Peripheral, responsible for architecting and building cloud infrastructure for sports analytics and immersive media. This hands-on role involves working in a highly cross-functional workplace while focusing on scalability and reliability.As a Cloud Infrastructure Engineer, you will collaborate closely with research and engineering teams, leveraging your DevOps and MLOps expertise to ensure that our models are efficiently deployed and perform optimally during live events. Your experience in building production infrastructure will help scale training workloads and improve the resilience of customer-facing systems.Key Responsibilities:
Design and operate cloud infrastructure for ML training
Partner with research to scale model training workflows




Build production infrastructure for model deployment
Establish standards for infrastructure-as-code and monitoring
Mentor and guide engineers in infrastructure best practicesRequirements:
4+ years in building production cloud infrastructures
Expertise in AWS or GCP and distributed training
Experience with Terraform, Kubernetes, and Docker
Robust understanding of cloud security and observability
Legal right to work in Canada;
relocation to Toronto neededLeverage your infrastructure skills to shape the future of spatial intelligence at Peripheral.#J-18808-Ljbffr

📌 Cloud Infrastructure Engineer At Peripheral Toronto (Canada)
🏢 S27a
📍 Canada