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Senior Staff Site Reliability Engineer (AI Infrastructure)

d-Matrix

Skills

Required

  • colocation / on-premises
  • storage
  • networking
  • incident response
  • Prometheus / Grafana
  • Terraform / Ansible
  • AIOps
  • Kubernetes
  • cluster troubleshooting
  • Linux systems
  • server infrastructure
  • systemd
  • Python / Bash scripting
  • AWS / Azure / GCP

Join D-Matrix, a company at the forefront of AI infrastructure. As a Senior Staff Site Reliability Engineer, you will be responsible for the reliability, automation, and observability of our infrastructure layer. This hands-on role involves working with colocation facilities, on-premises GPU clusters, cloud environments, and platform services. You will own systems end-to-end, from provisioning to live incident response, and collaborate with hardware and software teams. This is an opportunity to shape the future of AI and work with world-leading engineers and researchers.

About d-Matrix

Experience with large-scale infrastructure automation — host lifecycle management, fleet auto-healing, or AIOps-driven operations — building tooling that reduces manual intervention, not just running it

Responsibilities

  • Assurer la fiabilité et la disponibilité des infrastructures, y compris les serveurs en colocation, les clusters de laboratoire sur site et les environnements cloud.
  • Diriger la planification de la capacité et la gestion du cycle de vie du matériel pour les domaines d'infrastructure.
  • Contribuer à l'automatisation et à l'observabilité des systèmes, en utilisant des outils tels que Terraform, Ansible, Prometheus et Grafana.

Requirements

  • Kubernetes operational experience: cluster troubleshooting, workload management, storage, and networking
  • Strong Linux systems knowledge with hands-on colocation or on-premises server infrastructure — networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare-metal provisioning
  • Production-quality Python and/or Bash scripting, paired with incident response experience: structured triage, RCA production, and follow-through on action items
  • Experience with observability tooling — Prometheus/Grafana, DataDog, Splunk, or equivalent — including building dashboards and writing alert rules
  • Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field (or equivalent experience); 7+ years in SRE, infrastructure engineering, or systems administration
  • Production IaC experience with Terraform and/or Ansible — writing and maintaining configurations, not just running existing playbooks
  • Experience operating customer-facing infrastructure or platform services with external reliability expectations
  • Cloud infrastructure operations across AWS, Azure, or GCP, including hybrid environments spanning cloud and on-prem
  • Experience deploying and operating AI-driven infrastructure tools — AIOps platforms, intelligent alerting, anomaly detection, or LLM-assisted diagnostics — in production
  • HPC job scheduler experience: Slurm, LSF, or equivalent
  • Knowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink

Pay

USD 175,000 - 265,000