Site Reliability Engineer – GenAI Platform - MONTREAL & MIRABEL - Astra North Infoteck Inc.

    Astra North Infoteck Inc.
    Astra North Infoteck Inc. MONTREAL & MIRABEL

    1 day ago

    Description

    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

    Skills:

    • 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


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