Site Reliability Engineer (AI Infrastructure)

Location: Santa Clara, United States; hybrid work

Salary: $175,000–$265,000 per year, plus equity and bonus opportunities

Company

hirify.global develops software and hardware infrastructure for generative AI and focuses on collaborative, execution-oriented engineering.

What you will do

• Own reliability and availability across colocation server fleets, on-premises GPU clusters, cloud environments, and customer-facing platform services.
• Provision and operate infrastructure from bare metal through Kubernetes, including operating systems, networking, storage, hardware, and autoscaling.
• Automate provisioning, deployment, operations, host lifecycle management, fleet health checks, remediation, and networking using Terraform and/or Ansible.
• Design monitoring, alerting, dashboards, SLIs, and AIOps-driven detection workflows with tools such as Prometheus, Grafana, DataDog, and Splunk.
• Participate in on-call rotation, resolve incidents from bare metal to application layers, and produce root-cause analyses for P0/P1 incidents.
• Support CI/CD, QA, HPC workloads, operational runbooks, capacity planning, hardware lifecycle management, and cloud cost optimization.

Requirements

• 7+ years of experience in SRE, infrastructure engineering, or systems administration.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• Strong Linux expertise with colocation or on-premises infrastructure, including networking, storage, systemd, kernel parameters, performance diagnostics, rack networking, and bare-metal provisioning.
• Production experience writing and maintaining Terraform and/or Ansible configurations.
• Operational Kubernetes experience covering cluster troubleshooting, workloads, storage, and networking.
• Experience with observability tools, production-quality Python and/or Bash scripting, incident response, structured triage, and RCA follow-through.

Nice to have

• Experience with customer-facing infrastructure and external reliability commitments.
• Cloud operations across AWS, Azure, or GCP in hybrid cloud and on-premises environments.
• Production experience with AIOps, intelligent alerting, anomaly detection, or LLM-assisted diagnostics.
• Experience with Slurm, LSF, InfiniBand, RoCE, NVLink, or large-scale infrastructure automation.

Culture & Benefits

• Collaborative and inclusive environment built around respect, humility, direct communication, and diverse perspectives.
• Medical, dental, and vision coverage.
• 401(k) and an employee rewards program focused on personal and family wellbeing.
• Equity and performance-based bonus opportunities.