Senior Staff Site Reliability Engineer (AI Infrastructure)

d-Matrix; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Health care

Flexible time-off

401k retirement plan

Remote & hybrid working model

Work with world-leading engineers

Job summary

d-Matrix is seeking a senior SRE to own reliability and observability across colocations, on-prem labs and cloud environments. You will drive provisioning, live incident response, and end-to-end hardware and software platform services in collaboration with hardware and software teams.

You’ll implement IaC with Terraform/Ansible, build automation to reduce toil, design monitoring with Prometheus/Grafana and DataDog, and participate in on-call rotations to ensure QoS and uptime for customers.

Qualifications

• 7+ years in SRE, infra engineering, or systems administration.
• Production IaC experience with Terraform and/or Ansible.
• Cloud operations across AWS, Azure, or GCP including hybrid environments.
• Experience with AI-driven infrastructure tools and AIOps in production.
• Strong Linux, networking, and storage knowledge.

Responsibilities

• Own reliability, automation, and observability across colo, on‑premises lab, and cloud environments.
• End‑to‑end ownership from provisioning through live incident response.
• Collaborate with hardware and software teams on CI/CD, QA, and HPC workloads for silicon development, plus customer-facing environments.
• Build and operate real infrastructure, not tickets; drive provisioning, deployment, and operational changes through Terraform/Ansible.
• Develop automation to eliminate toil—host lifecycle, fleet health checks, auto‑remediation, self‑service tooling, network automation.
• Design and maintain monitoring, alerting, and SLIs (Prometheus/Grafana, DataDog, Splunk).
• Participate in on‑call rotation, triaging incidents, and producing RCAs for P0/P1 incidents.
• Support platform services used by internal teams and external customers, ensuring QoS and uptime.

Skills

Kubernetes

Linux systems

Python/Bash scripting

Observability tooling

SRE / infra engineering

Terraform/Ansible

Cloud operations

HPC scheduler (Slurm/LSF)

Networking/storage

IaC automation

Education

Bachelor’s or Master’s in CS/EE

Tools

Terraform

Ansible

Prometheus/Grafana

DataDog

Splunk

Job description

• We value humility and believe in direct communication
• Our team is inclusive, and our differing perspectives allow for better solutions
• We are seeking individuals passionate about tackling challenges and are driven by execution
• Ready to come find your playground?
• Together, we can help shape the endless possibilities of AI
• D-Matrix’s SRE team owns the infrastructure layer that every engineering team and customer depends on — colocation facilities, on‑premises GPU clusters, cloud environments, and the platform services used to deploy and validate d‑Matrix hardware and software
• This role is a core member of that team, responsible for reliability, automation, and observability across colo, on‑premises lab, and cloud environments
• You will own systems end‑to‑end, from provisioning through live incident response, partnering 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
• This is hands‑on, high‑ownership work: you’ll build and operate real infrastructure, not manage tickets
• Own reliability and availability across colo server fleets, on‑premises lab clusters, cloud environments (AWS, Azure, GCP), and customer‑facing platform services
• Perform hands‑on infrastructure work — server provisioning, OS configuration, networking, storage, and hardware troubleshooting — from bare metal through auto‑scaling Kubernetes environments
• Lead capacity planning and hardware lifecycle management for your domains, and track cloud spend to support FinOps and workload placement decisions
• Drive all provisioning, deployment, and operational changes through Terraform and/or Ansible rather than manual steps, and contribute to shared IaC modules used across the global SRE and data center services teams
• Build and document automation that eliminates toil — host lifecycle management, fleet health checks, auto‑remediation, self‑service tooling, and networking automation for cluster interconnects and lab configurations
• Design and maintain monitoring, alerting, and SLIs (Prometheus/Grafana, DataDog, Splunk, or equivalent), contributing to AIOps‑driven detection workflows
• Participate in on‑call rotation, triaging and resolving incidents from bare metal to application layer, and produce high‑quality RCAs for P0/P1 incidents
• Support platform services used by internal teams and external customers, ensuring QoS and uptime commitments and documenting operational runbooks

Benefits

• Equity
• Health care
• Flexible time‑off
• Paid paternity leave
• 401k retirement plan
• Remote & hybrid working model
• Work with world‑leading engineers and researchers
• Team‑building activities
• On‑site fitness center
• Free food and snacks
• Peer coaching & development
• Happy hours

Kubernetes operational experience: cluster troubleshooting, workload management, storage, and networkingStrong Linux systems knowledge with hands‑on colocation or on‑premises server infrastructure — networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare‑metal provisioningProduction-quality Python and/or Bash scripting, paired with incident response experience: structured triage, RCA production, and follow‑through on action itemsExperience with observability tooling — Prometheus/Grafana, DataDog, Splunk, or equivalent — including building dashboards and writing alert rulesBachelor’s or Master’s in Computer Science, Electrical Engineering, or a related field (or equivalent experience); 7+ years in SRE, infrastructure engineering, or systems administrationProduction IaC experience with Terraform and/or Ansible — writing and maintaining configurations, not just running existing playbooksExperience operating customer‑facing infrastructure or platform services with external reliability expectationsCloud infrastructure operations across AWS, Azure, or GCP, including hybrid environments spanning cloud and on‑premExperience deploying and operating AI‑driven infrastructure tools — AIOps platforms, intelligent alerting, anomaly detection, or LLM‑assisted diagnostics — in productionHPC job scheduler experience: Slurm, LSF, or equivalentKnowledge of high‑speed interconnect fabrics: InfiniBand, RoCE, or NVLinkExperience with large‑scale infrastructure automation — host lifecycle management, fleet auto‑healing, or AIOps‑driven operations — building tooling that reduces manual intervention, not just running it