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Site Reliability Engineer, AI​/ML Infrastructure

Job in Toronto, Ontario, C6A, Canada
Listing for: Boson AI
Full Time position
Listed on 2026-02-25
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, SRE/Site Reliability
Job Description & How to Apply Below
Overview
We2;re looking for a Senior Site Reliability Engineer to help us run one of the most exciting GPU clusters aroundour Toronto datacenter packed with NVIDIA H100 and A100 GPUs, over 20PB of Ceph storage, terabit networking, and hundreds of servers.

Youll be hands-on with the full lifecycle of HPC infrastructure: planning, building, testing, deploying, and keeping everything running smoothly. That means troubleshooting issues as they arise, monitoring performance, developing automation to make our lives easier, and working closely with engineering and science teams to ensure they have what they need. Youll also help us plan for future capacity and evaluate new technologies as we continue to scale.

Responsibilities

Manage and optimize HPC cluster operations

Deploy and maintain infrastructure-as-code solutions

Support ML/research teams with cluster usage optimization

Operate, troubleshoot and optimize Ceph storage clusters

Develop automation and tooling

Minimum Qualifications

5+ years of experience in SRE or HPC operations

Proficiency in Linux systems administration (Ubuntu/Debian)

Experience with Kubernetes and container orchestration

Experience with Ceph >1PB deployments and maintenance

Knowledge of security best practices in multi-tenant environments

Understanding of L2/L3 networking fundamentals

Skilled in Python and Bash scripting

Preferred Qualifications

Experience with infrastructure-as-code tools (Ansible/Terraform)

Experience with Git Ops (Helm, ArgoCD)

Strong grasp of RDMA, Infini Band, and GPUDirect technologies

Familiarity with deep learning frameworks such as PyTorch and Tensor Flow

Familiarity in at least one cloud platform: AWS, Azure or GCP

If youre a natural problem-solver with a passion for continuous learning, wed love to hear from you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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