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Software, Business Process Management, Enterprise Architecture

AI SRE / AI Ops engineer-6

Montreal, Quebec, CanadaHybridFull TimePosted 2 months ago

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Montréal, Quebec H1A 0A1 Posted March 12th, 2026

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Job Type: Full Time

Job Category: IT

Job Description

AI SRE / AI Ops engineer

Montreal, QC - Hybrid

Skills Required :

  • Production experience in SRE / Infrastructure / ops for large-scale systems
  • Strong programming/scripting skills (Python, Go, Java, or equivalent)
  • Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
  • Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
  • Familiarity with GPU / AI compute clusters, high-performance data storage, and distributed architectures
  • Experience with monitoring / observability / logging / alerting tools (Prometheus, Grafana, ELK / EFK, Datadog, etc.)
  • Production experience in SRE / Infrastructure / ops for large-scale systems
  • Strong programming/scripting skills (Python, Go, Java, or equivalent)
  • Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
  • Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
  • Familiarity with GPU / AI compute clusters, high-performance data storage, and distributed architectures
  • Experience with monitoring / observability / logging / alerting tools (Prometheus, Grafana, ELK / EFK, Datadog, etc.)
  • Networking & systems engineering knowledge (TCP/IP, DNS, routing, load balancing, distributed storage)
  • Solid experience in capacity planning, performance tuning, scaling, and incident response
  • Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improvements
  • Experience in regulated environments (financial services, compliance, audit, security) is a strong plus
  • Excellent communication, documentation, and cross-team collaboration skills
  • Proven track record of reducing operational toil via automation

Required Skills

DEVOPS ENGINEER

SENIOR EMAIL SECURITY ENGINEER

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