Site Reliability Engineer

🕒 July 14

🇨🇦 Canada – Remote

💵 $125k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 27%

infoinfo

Firewalls

Kubernetes

Linux

Switching

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Logo of Boson

Boson

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B

Boson is a software development company that believes in the transformative power of Artificial Intelligence (AI) to advance civilization. They focus on creating cutting-edge software products that push technological boundaries and aim to integrate AI seamlessly into everyday life.

📋 Description

• Design, operate, and improve reliable infrastructure for AI training and inference workloads • Own and automate operational workflows across one or more core areas: networking, compute allocation, storage, GPU/server configuration, or AI platforms • Build monitoring, alerting, runbooks, and incident-response practices that make systems easier to operate • Diagnose performance, capacity, and reliability issues across hardware, operating systems, networks, schedulers, and distributed workloads • Partner closely with ML, research, and platform teams to translate workload needs into practical infrastructure improvements • Improve provisioning, configuration management, testing, and deployment automation • Help plan cluster growth, capacity allocation, upgrades, and lifecycle management • Contribute to a thoughtful reliability culture through documentation, post-incident learning, and pragmatic engineering standards

🎯 Requirements

• 4+ years of experience in site reliability engineering, infrastructure engineering, systems engineering, or a related production-operations role • Strong hands-on expertise in at least one of the following: • Networking, including firewalls, switching, routing, ASN/BGP configuration, or InfiniBand • Cluster and systems allocation with Kubernetes, SLURM, MAAS, or similar platforms • Distributed storage, particularly Ceph • GPU and server administration, including CUDA drivers, firmware, BIOS, and hardware troubleshooting • AI training or model-serving infrastructure • Experience operating production systems with a focus on availability, performance, security, and automation • Strong Linux administration and scripting skills • A systematic approach to troubleshooting across multiple layers of a complex system • Clear written and verbal communication skills, including the ability to work effectively with a distributed team

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