Role - Site Reliability Engineer (SRE /GenAI Infrastructure / Kubernetes / IaC)
Location - Montreal, QC
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 bal-ancing, distributed storage)
Solid experience in capacity planning, performance tuning, scaling, and incident response
Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improve-ments
Experience in regulated environments (financial services, compliance, audit, se-curity) is a strong plus
Excellent communication, documentation, and cross-team collaboration skills
Proven track record of reducing operational toil via automation
Experience: 8+ years of experience as a Site Reliability Engineer or in a similar role, with hands-on experience in supporting IaaS platforms with networking and system engineer-ing knowledge.
Roles and Responsibilities:
Operate, monitor, and maintain the infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving)
Design and build automation for core platform capabilities, reducing manual toil
Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes / container orchestration, etc.
Establish, monitor, and enforce SLOs/SLIs/SLAs, error budgets, alerting, and dashboards
Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation
Perform capacity planning, scaling strategies, workload scheduling, and resource forecasting
Optimize cost vs. performance tradeoffs in large-scale compute environments
Harden systems for security, compliance, auditability, and data governance
Collaborate across teams (cloud engineers, data engineers, infrastructure, secu-rity) to ensure safe deployment, rollout, rollback, and integration of new systems
Define disaster recovery (DR) strategies, backup/restore practices, fault toler-ance mechanisms
Maintain runbooks, operational playbooks, documentation, and training materials
Participate in on-call rotations and respond to production incidents 24/7 as needed
Continuously evaluate and integrate new tools, frameworks, or technologies to enhance platform reliability
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