1 month ago
Base Salary
$175k - $265k/yr
Responsibilities
- Own reliability and availability across colo server fleets, on-premises lab clusters, cloud environments, and customer-facing platform services.
- Perform server provisioning, OS configuration, networking, storage, hardware troubleshooting, and Kubernetes operations from bare metal through autoscaling environments.
- Lead capacity planning and hardware lifecycle management while tracking cloud spend for FinOps and workload-placement decisions.
- Automate provisioning, deployment, and operational changes using Terraform and/or Ansible and contribute to shared infrastructure-as-code modules.
- Build automation for host lifecycle management, fleet health checks, auto-remediation, self-service tooling, and networking automation.
- Design and maintain monitoring, alerting, dashboards, and service-level indicators using observability tooling.
- Participate in on-call incident response, produce root-cause analyses for P0/P1 incidents, and maintain operational runbooks.
- Support internal and external platform services while meeting quality-of-service and uptime commitments.
Requirements
- Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- 7+ years of experience in SRE, infrastructure engineering, or systems administration.
- Strong Linux systems expertise with colocation or on-premises server infrastructure, networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare-metal provisioning.
- Production infrastructure-as-code experience writing and maintaining Terraform and/or Ansible configurations.
- Operational Kubernetes experience covering cluster troubleshooting, workload management, storage, and networking.
- Experience with Prometheus/Grafana, DataDog, Splunk, or equivalent observability tools, including dashboard and alert-rule development.
- Production-quality Python and/or Bash scripting and incident-response experience, including structured triage, RCA production, and action-item follow-through.
- Preferred qualifications include customer-facing infrastructure operations, AWS/Azure/GCP and hybrid-cloud operations, production AI-driven infrastructure tooling, Slurm or LSF, InfiniBand/RoCE/NVLink, and large-scale automation or auto-healing experience.
Tech Stack
AnsibleAWSAzureBashDatadogGoogle Cloud PlatformGrafanaKubernetesLinuxPrometheusPythonSplunkTerraform
Categories
DevOpsSite Reliability
About d-Matrix
d-Matrix builds AI inference computing platforms for data centers, combining custom silicon with systems, networking, and software. Its flagship Corsair platform and JetStream fabric focus on low-latency, energy-efficient generative AI inference at scale. Founded in 2019 and headquartered in Santa Clara, California, the privately held company sells hardware with accompanying software to cloud providers and enterprises deploying large AI models.