Security Operations & Detection Engineer (SecOps) – AI Cloud

Location: Los Angeles, CA or San Jose, CA; regular US Pacific daytime hours with weekend on-call rotation.

Company

hirify.global develops Bitcoin mining infrastructure, AI computational infrastructure, data centers, and cloud capabilities for artificial intelligence workloads.

What you will do

• Monitor, triage, contain, and escalate P1/P2 security incidents across GPU/AIDC infrastructure, the cloud platform, and public-facing services.
• Meet incident-response SLAs, including P1 acknowledgment within 15 minutes and response initiation within 30 minutes.
• Build and tune detection rules in the internal SIEM, HIDS, and WAF telemetry to reduce false positives.
• Develop and refine agentic alert-triage workflows to automate routine responses and reduce operational noise.
• Conduct daily written and live handoffs with the Singapore security team.
• Write post-incident reports and collaborate with the global security organization.

Requirements

• 3+ years of hands-on experience in SOC, incident response, or detection engineering, including primary on-shift response.
• Strong Linux and Kubernetes fundamentals, with experience across cloud platforms and bare-metal or GPU environments.
• Practical SIEM query experience with OpenSearch, Splunk DSL, or similar tools.
• Scripting experience in Python or Go.
• Experience with Falco, Wazuh, auditd, host-based detection, log analysis, and standard incident-response tooling.
• Ability to work US Pacific daytime hours and participate in a weekend on-call rotation.

Nice to have

• Incident response experience involving crypto-mining malware or supply-chain security incidents.
• Exposure to eBPF-based detection or runtime security tools such as Tetragon and Falco internals.
• Experience with NVIDIA DGX/HGX, InfiniBand, or RoCE networking.
• Professional Mandarin fluency for collaboration with the Singapore engineering site.
• GCIH, GCIA, CISSP, or similar industry certification.

Culture & Benefits

• Hands-on technical role focused on security operations and engineering rather than policy or management.
• Close collaboration with a global security team and the Singapore engineering site.
• Work across AI Cloud production infrastructure, cloud services, and public-facing systems.