Join the Data Infrastructure team at
as a Software Engineer focusing on large-scale storage solutions. Contribute to developing a unified storage layer for AI model training.In this key role, you'll design and build a distributed storage system for model training and evaluation at petabyte scale. Collaborate with researchers and infrastructure teams to address challenges in data reading, writing, and movement. Your work will directly influence performance metrics like GPU utilization, throughput, and consistency.Key Responsibilities:
Design and operate distributed storage systems for AI models
Manage Kubernetes clusters handling petabyte-scale data
Collaborate with teams to optimize data throughput and latency
Resolve consistency and I/O issues with large datasets
Enhance system reliability and performance for AI workloadsRequirements:
Solid storage fundamentals, including data lifecycle management
Experience coding in Python and/or Go
Familiarity with Kubernetes and stateful systems
Background in cloud object storage (e.G., S3)
Knowledge of parallel filesystems is a bonusDrive innovation in AI storage solutions while building your expertise in an evolving technology landscape.#J-18808-Ljbffr

📌 Data Infrastructure Engineer At Tech Firm Toronto (Canada)
🏢 Talanto
📍 Canada