Senior Staff Site Reliability Engineer, AI Infrastructure

d-Matrix

. Own reliability and availability across colocation server fleets, on-premises lab clusters, cloud environments, and customer-facing platform services .

Posted 9/30/2026full-timeSanta Clara • California • United StatesSenior💰 $175,000 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Site Reliability Engineering (SRE) with a focus on infrastructure management, automation, and incident response. Proficient in provisioning and configuring cloud and on-premises environments, utilizing Infrastructure as Code (IaC) tools, and ensuring high availability and performance of customer-facing services.

Highest-signal resume keywords

Site Reliability Engineering (SRE)Infrastructure as Code (IaC) with Terraform/AnsibleKubernetes Operational ExperienceLinux Systems KnowledgeIncident Response and Root-Cause Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure ManagementCloud OperationsPython ScriptingBash ScriptingPerformance DiagnosticsMonitoring and AlertingCapacity PlanningAutomationRoot-Cause AnalysisNetworking

Soft Skills

CollaborationProblem-SolvingDocumentation

Tools & Technologies

PrometheusGrafanaDataDogSplunkKubernetesAWSAzureGCPAIOps PlatformsHPC Job Schedulers

Certifications & Qualifications

Bachelor's or Master's in Computer ScienceElectrical Engineering

Industry Keywords

ColocationOn-Premises InfrastructureCloud EnvironmentsInfrastructure AutomationService-Level IndicatorsQuality of Service (QoS)Hybrid CloudLarge-Scale InfrastructureCustomer-Facing ServicesPhysical Hardware

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudGoogle Cloud PlatformGrafanaKubernetesLinuxPrometheusPythonSplunkTerraform

About the role

Key responsibilities & impact

Own reliability and availability across colocation server fleets, on-premises lab clusters, cloud environments, and customer-facing platform services
Provision and configure servers, operating systems, networking, storage, and hardware from bare metal through auto-scaling Kubernetes environments
Lead capacity planning and hardware lifecycle management
Track cloud spend to support FinOps and workload-placement decisions
Drive provisioning, deployment, and operational changes through Terraform and/or Ansible
Contribute to shared infrastructure-as-code modules for global SRE and data center services teams
Build automation for host lifecycle management, fleet health checks, auto-remediation, self-service tooling, and networking automation
Design and maintain monitoring, alerting, and service-level indicators using Prometheus/Grafana, DataDog, Splunk, or equivalent tools
Contribute to AIOps-driven detection workflows
Participate in an on-call rotation and resolve incidents from bare metal to application layer
Produce root-cause analyses for P0/P1 incidents
Support internal and external customer platform services, ensuring QoS and uptime commitments
Document operational runbooks
Partner with hardware and software teams on CI/CD, QA, HPC workloads, silicon development, and customer deployments

Requirements

What you’ll need

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
Strong Linux systems knowledge
Hands-on colocation or on-premises server infrastructure experience, including networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare-metal provisioning
Production IaC experience with Terraform and/or Ansible
Kubernetes operational experience, including cluster troubleshooting, workload management, storage, and networking
Experience with observability tooling such as Prometheus/Grafana, DataDog, Splunk, or equivalent
Experience building dashboards and writing alert rules
Production-quality Python and/or Bash scripting
Incident response experience, including structured triage, RCA production, and follow-through on action items
Legal authorization to work in the United States
Preferred: experience with customer-facing infrastructure or platform services
Preferred: cloud infrastructure operations across AWS, Azure, or GCP, including hybrid cloud/on-premises environments
Preferred: production experience with AIOps platforms, intelligent alerting, anomaly detection, or LLM-assisted diagnostics
Preferred: HPC job scheduler experience such as Slurm or LSF
Preferred: knowledge of InfiniBand, RoCE, or NVLink
Preferred: large-scale infrastructure automation experience

Benefits

Comp & perks

Equity
Bonus/incentive opportunities based on individual and company performance
Medical insurance
Dental insurance
Vision insurance
401(k)
Inclusive rewards plan centered around employee and loved ones’ wellbeing