Lead, Site Reliability Engineering – AI Accelerator Infrastructure

d-Matrix

Lead the SRE function for d-Matrix, focusing on robust infrastructure for AI accelerators. Build and manage the team responsible for high-reliability across diverse environments.

Posted 7/13/2026contractSanta Clara • California • 🇺🇸 United StatesSenior💰 $195,000 - $285,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Site Reliability Engineering (SRE) with a focus on establishing operational excellence, defining technical roadmaps, and leading cross-functional teams. Proficient in infrastructure management, automation, and effective communication with executive stakeholders.

Highest-signal resume keywords

SRE LeadershipInfrastructure EngineeringIaC FluencyKubernetes OperationsExecutive Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Linux Systems ExpertiseNetworking (TCP/IP, RDMA, Bonding)Enterprise Shared Storage PlatformsTerraformAnsibleKubernetesPrometheusGrafanaPythonGo

Soft Skills

Operational ExcellenceTeam DevelopmentCross-Team CollaborationCultural Change LeadershipHigh-Ambiguity Adaptability

Tools & Technologies

On-Call FrameworksObservability ToolsHybrid-Cloud StorageColocation ManagementData Center Operations

Industry Keywords

SLO DefinitionCapacity PlanningIncident ManagementRCA (Root Cause Analysis)Operational Standards

Tech Stack

Tools & technologies

AnsibleCloudGoGrafanaKubernetesLinuxNFSPrometheusPythonTCP/IPTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Offers Equity
Offers Bonus