Sr Staff Site Reliability Engineer, AI Infrastructure

Showcify, Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

d-Matrix is seeking an experienced Site Reliability Engineer to own the reliability of colo, on-prem lab clusters, and cloud deployments, while collaborating on CI/CD, QA, and HPC workloads for silicon development.

You will be hands-on with provisioning, automation, and incident response, building scalable infrastructure and IaC modules, and ensuring QoS with robust monitoring and alerting across environments.

Qualifications

• 7+ years in SRE, infrastructure engineering, or systems administration.
• Strong Linux knowledge with on-premises/server infrastructure experience.
• Production IaC experience with Terraform and/or Ansible.
• Kubernetes operational experience and cluster troubleshooting.
• Experience with observability tools and dashboards.
• Scripting in Python and/or Bash; incident response experience.

Responsibilities

• Own reliability and availability across colo, on‑premises lab, cloud environments, and customer-facing platform services.
• Hands-on infrastructure work from bare metal to auto-scaling Kubernetes environments.
• Lead capacity planning and hardware lifecycle management; track cloud spend for FinOps.
• Drive provisioning and deployment through Terraform/Ansible; contribute to IaC modules.
• Build automation to reduce toil; implement host lifecycle management and auto-remediation.
• Design/maintain monitoring, alerting, and SLIs (Prometheus/Grafana, DataDog, Splunk).
• Participate in on-call rotation and produce RCAs for P0/P1 incidents.
• Support platform services for internal teams and external customers; document runbooks.

Skills

Linux systems

Terraform

Ansible

Kubernetes

Observability

Python/Bash

Incident response

Education

Bachelor's or Master's in CS/EE

Tools

Prometheus/Grafana

DataDog

Splunk

Job description

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.

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.

Role Overview

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.

What You Will Do

• 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.

What You Will Bring

• 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 with hands-on colocation or on-premises server infrastructure — networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare-metal provisioning.

• Production IaC 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, not just running it.

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We're committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.