Lead, Site Reliability Engineering – AI Accelerator Infrastructure

Role Overview

• Own the SRE function end-to-end: define the team’s charter, establish SRE as a discipline within d-Matrix’s engineering culture, and drive buy-in across hardware, software, and executive stakeholders who have operated without a dedicated SRE team.
• Hire, develop, and retain a team of 3–5 SRE engineers; establish a culture of operational excellence, ownership, and continuous improvement from day one.
• Define the SRE technical roadmap: reliability architecture, automation priorities, capacity planning, and on-call model—and execute against it with your hands on the keyboard where needed.
• Serve as the senior technical escalation for critical incidents—guiding cross-team triage, driving RCA, and ensuring systemic fixes rather than point patches.
• Translate operational signals and infrastructure health into clear, actionable narratives for engineering leadership and executive stakeholders.
• Partner with the director of DevOps engineering to align infrastructure reliability with pipeline and automation delivery; the two functions must operate as a unified platform.
• Direct a dedicated data center & lab technician team—your hands and feet across on-premises and colocation facilities; set their work priorities, establish operational standards, and ensure physical infrastructure execution aligns with the SRE technical roadmap.

Requirements

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or a related field; 15+ years in SRE, infrastructure engineering, or production engineering.
• 5+ years leading SRE or infrastructure engineering teams — including experience building or significantly rebuilding a function, not just managing a steady-state team.
• 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 engineering teams that came from a reactive ops background.
• Deep Linux systems expertise: networking (TCP/IP, RDMA, and bonding), kernel tuning, and bare-metal operations; hands-on experience with enterprise shared storage platforms (NAS/SAN, NFS/SMB at scale, and snapshot and replication architectures) and hybrid-cloud storage integration across on-prem and cloud tiers.
• Proven experience operating colocation and on-premises hardware at scale: server lifecycle, power and cooling awareness, rack-level networking.
• IaC fluency: Terraform and Ansible at production scale — module design, remote state, environment isolation, and change governance.
• Kubernetes cluster operations: lifecycle management, workload reliability, storage, and RBAC at scale.
• Full observability stack ownership: Prometheus, Grafana, and/or Datadog — SLO definition, alert design, and E2E signal quality.
• Strong Python and/or Go — production services, not just scripts; automation that touches real infrastructure safely.
• Executive communication: translating infrastructure health and operational risk into clear narratives for senior leadership, including stakeholders with no infrastructure background.
• Ability to operate in a high-ambiguity, low-process environment — you build the structure, you don’t inherit it.

Tech Stack

• Ansible
• Cloud
• Grafana
• Kubernetes
• Linux
• NFS
• Prometheus
• Python
• TCP/IP
• Terraform
• Go

Benefits

• Offers Equity
• Offers Bonus