Site Reliability Engineer

4 days ago

Montréal QC HM H, Canada Atlantis IT Group Full time $120,000 - $180,000 per year

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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