Network Reliability Engineer (AI)

TL;DR

Network Reliability Engineer (AI): Designing and operating the global network and reliability layer for a high-performance private supercomputer with an accent on distributed compute, ML workloads, and real-time analytics. Focus on building scalable network architecture, automating infrastructure, and ensuring mission-critical system reliability.

Location: Must be based in San Francisco, California (On-site)

Salary: $210,000 – $240,000

Company

hirify.global is a pioneering Causal AI platform helping Fortune 100 enterprises prove business outcomes using trusted, causal evidence.

What you will do

• Architect and operate scalable, secure network architecture for large-scale machine learning workloads.
• Own network device configuration management end to end to ensure consistency and reliability.
• Improve system and network performance through automation, observability, and proactive capacity planning.
• Implement and manage complex network protocols including BGP, VPNs, and external peering.
• Build and maintain comprehensive monitoring, alerting, and incident response systems.
• Partner across engineering and data science to drive a culture of performance and reliability.

Requirements

• 8+ years in network or infrastructure engineering, with 5+ years in datacenter operations.
• Extensive hands-on experience with network devices (firewalls, switches, load balancers) and protocols like BGP, QoS, MPLS, and IPsec.
• Experience designing and operating modern datacenter network fabrics (spine-leaf, EVPN/VXLAN, ECMP).
• Proficiency in network automation and IaC tooling (Ansible, Terraform, Nornir) and IPAM/DCIM platforms.
• Strong operational experience with Linux-based production infrastructure and Kubernetes networking.
• Solid scripting skills in Python or Bash for debugging and automation.

Nice to have

• Experience with NVIDIA networking technologies (Cumulus Linux, InfiniBand, Spectrum-X, BlueField DPUs).
• Familiarity with data-intensive platforms like Spark, Airflow, or Kafka.
• Experience with storage network protocols such as NFS, LustreFS, or iSCSI.
• Background in high-compliance or SOC 2 environments.

Culture & Benefits

• Work on cutting-edge infrastructure including one of the world's fastest private supercomputers.
• High-impact role with ownership over architecture decisions for Fortune 100-scale systems.
• Generous equity program to ensure meaningful ownership.
• Transparent compensation philosophy based on real-time market data.
• Collaborative environment with top-tier engineering talent.