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d-Matrix is seeking a Senior Staff Site Reliability Engineer to own the infrastructure layer supporting the company's generative AI hardware and software innovation. This is a hands-on, high-ownership role responsible for reliability, automation, and observability across colocation facilities, on-premises GPU clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services.
You will own systems end-to-end, from provisioning through live incident response. Key responsibilities include:
• Owning reliability and availability across colo server fleets, on-premises lab clusters, cloud environments, and customer-facing platform services
• Performing hands-on infrastructure work: server provisioning, OS configuration, networking, storage, and hardware troubleshooting from bare metal through auto-scaling Kubernetes environments
• Leading capacity planning and hardware lifecycle management, tracking cloud spend to support FinOps and workload placement decisions
• Driving all provisioning, deployment, and operational changes through Terraform and/or Ansible, contributing to shared Infrastructure-as-Code modules across global SRE and data center services teams
• Building and documenting automation that eliminates toil: host lifecycle management, fleet health checks, auto-remediation, self-service tooling, and networking automation for cluster interconnects
• Designing and maintaining monitoring, alerting, and SLIs using Prometheus/Grafana, DataDog, Splunk, or equivalent tools, contributing to AIOps-driven detection workflows
• Participating in on-call rotation, triaging and resolving incidents from bare metal to application layer, and producing high-quality root cause analyses for P0/P1 incidents
• Supporting platform services used by internal teams and external customers, ensuring QoS and uptime commitments and documenting operational runbooks
This role partners closely with hardware and software teams on CI/CD, QA, and HPC workloads for silicon development, as well as supporting customer-facing environments where d-Matrix partners collaborate on deployments.
REQUIREMENTS:
• Bachelor's or Master's in Computer Science, Electrical Engineering, or related field (or equivalent experience)
• 7+ years in SRE, infrastructure engineering, or systems administration
• Strong Linux systems knowledge with hands-on colocation or on-premises server infrastructure experience: networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare-metal provisioning
• Production Infrastructure-as-Code experience with Terraform and/or Ansible—writing and maintaining configurations, not just running existing playbooks
• Kubernetes operational experience: cluster troubleshooting, workload management, storage, and networking
• Experience with observability tooling (Prometheus/Grafana, DataDog, Splunk, or equivalent), including building dashboards and writing alert rules
• Production-quality Python and/or Bash scripting, paired with incident response experience: structured triage, RCA production, and follow-through on action items
PREFERRED QUALIFICATIONS:
• 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
• Experience with large-scale infrastructure automation—host lifecycle management, fleet auto-healing, or AIOps-driven operations—building tooling that reduces manual intervention
