SRE L1/L2 Support/Cloud Platform Ops Engineer (AI)

Location: San Jose, California or Austin, Texas, United States; remote within these locations. The role covers US GPU data centers and requires an 8AM–8PM PST shift with rotating 12-hour shifts.

Company

hirify.global provides Bitcoin mining infrastructure, AI computational infrastructure, data center operations, and cloud capabilities for customers with high artificial intelligence workloads.

What you will do

• Monitor GPU clusters, networks, storage systems, and environmental sensors through centralized dashboards.
• Respond to alerts and execute runbooks for GPU errors, link flaps, node failures, and storage incidents.
• Perform hardware triage and standard remediation, including GPU resets, node drains and reboots, link reseating, and BMC recovery.
• Collect logs, DCGM output, network diagnostics, and hardware health reports for L2 and SME escalation.
• Manage incident tickets in ServiceNow or Jira from creation through resolution or escalation.
• Perform on-site data center work, including cabling, hardware replacement, rack and stack, labeling, firmware updates, and inventory management.
• Maintain runbooks, structure shift handoffs, and document novel incidents so they can become AIOps automations.

Requirements

• At least 2 years of experience in NOC, data center operations, or IT support.
• Basic Linux system administration, including command-line use, log analysis, and service management.
• Familiarity with monitoring tools such as Prometheus, Grafana, Nagios, or equivalent systems.
• Experience with ServiceNow or Jira Service Management.
• Ability to perform physical data center tasks, including rack and stack, cabling, and hardware replacement.
• Ability to work the 8AM–8PM PST rotating 12-hour shift schedule and complete structured handoffs.
• Strong communication, incident documentation, escalation, structured-data, and automation-oriented problem-solving skills.

Culture & Benefits

• Work in an AI-operated GPU cloud where incident decisions provide training data for future automations.
• Operational work emphasizes executable runbooks, structured handoff notes, and continuous improvement.
• Growth opportunities include progression into SME roles or the platform team as an automation author.
• Work with an APAC operations team through scheduled shift handoffs.