Director Site Reliability Engineer (AI Infrastructure)

Join d-Matrix, a cutting-edge AI inference silicon company, as the Director of Site Reliability Engineering. In this role, you will build and lead the SRE function from the ground up, owning the infrastructure that supports development, validation, and customer-facing deployments. You will hire and grow the team, set technical direction, and serve as the senior escalation point for incidents. This is a hands-on role that requires close collaboration with various teams to drive reliability, cost efficiency, and the removal of technical debt.

• Construire et diriger la fonction d'ingénierie de fiabilité du site (SRE) de l'entreprise, en définissant sa charte et en établissant SRE en tant que discipline.
• Assurer la fiabilité 24h/24 et 7j/7 des services d'infrastructure, en concevant pour les domaines de défaillance, la livraison progressive et le contrôle strict des changements.
• Posséder l'ensemble de la pile d'observabilité (Prometheus, Grafana, Datadog, Splunk ou équivalent), en instrumentant les métriques, les traces et les journaux pour la visibilité des SLO.

• Full observability stack ownership (Prometheus, Grafana, Datadog and/or Splunk or equivalent) for SLO definition, alert design, and end-to-end signal quality
• Executive communication skills, translating infrastructure health and operational risk into clear narratives for senior leadership, including non-technical stakeholders
• Hands-on Infrastructure as Code fluency with Terraform and Ansible at production scale — module design, remote state, environment isolation, and change governance
• Ability to operate in a high-ambiguity, low-process environment, building structure rather than inheriting it
• Demonstrated track record of establishing SRE as a discipline in an organization that lacked it: defining SLOs, creating on-call frameworks, standing up observability, and driving cultural change with teams coming from a reactive ops background
• Strong Python and/or Go scripting for production services and automation that safely touches real infrastructure
• Proven experience operating colocation and on-premises hardware at scale: server lifecycle, power and cooling awareness, rack-level networking
• Deep Linux systems expertise: bare-metal operations, enterprise shared storage platforms (NAS/SAN, NFS/SMB at scale, snapshot and replication architectures), and hybrid-cloud storage integration
• 5+ years leading SRE or infrastructure engineering teams, including experience building or significantly rebuilding a function, not just managing a steady-state team
• Kubernetes cluster operations: lifecycle management, workload reliability, storage, and RBAC at scale
• Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field; 15+ years in SRE, infrastructure engineering, or production engineering
• Experience operating customer-facing infrastructure or platform services, with reliability expectations beyond internal tooling
• Knowledge of high-speed interconnect fabrics (InfiniBand, RoCE, or NVLink) — setup, troubleshooting, and performance tuning
• Multi-cloud hybrid operations across AWS, Azure, and GCP alongside on-prem/colo, with unified observability and IaC
• HPC job scheduler experience (Slurm, LSF, or equivalent) — setup, tuning, and integration with infrastructure automation
• ITIL knowledge or an equivalent structured incident/problem/change management framework
• FinOps expertise: cloud spend attribution, TCO modeling across cloud vs. on-prem vs. colo, and translating cost data into workload placement recommendations
• Published technical writing, conference talks, or open-source contributions in reliability, observability, or HPC infrastructure