Sr. Software Engineer (Data Center Automation) (AI)

TL;DR

Sr. Software Engineer (Data Center Automation) (AI): Managing and enhancing reliability across a multi-data center environment with an accent on automating reliability workflows and observability solutions. Focus on reducing MTTR through proactive monitoring, optimizing Linux-based systems for AI workloads, and integrating software reliability with physical infrastructure.

Location: Memphis, TN

Company

hirify.global is focused on creating AI systems that accurately understand the universe and aid humanity in its pursuit of knowledge.

What you will do

• Design and deploy scalable services in Python and Rust to automate reliability workflows, monitoring, and incident response.
• Implement advanced observability stacks (metrics, logging, tracing) to provide real-time insights into multi-data center health.
• Collaborate with network and facility operations to mitigate physical risks and automate fault tolerance and disaster recovery.
• Troubleshoot complex hardware, environmental, and software issues in distributed environments to harden system resilience.
• Optimize Linux kernels and container orchestration (Kubernetes) for high-performance AI compute environments.
• Mentor junior engineers and drive a culture of automation and knowledge sharing.

Requirements

• Must be based in or able to work onsite in Memphis, TN
• 3+ years of experience in SRE, infrastructure engineering, or DevOps in large-scale production environments.
• Strong production experience in Python and proficiency in a systems-level language like Rust, Go, or C++.
• Deep knowledge of Linux systems administration, kernel tuning, and scripting for automation.
• Practical experience with Docker, Kubernetes, and observability tools like Prometheus and Grafana.
• Understanding of large-scale networking fundamentals (TCP/IP, routing, DNS).

Nice to have

• 5+ years of experience in hyperscale, cloud, or AI/ML training infrastructure.
• Experience optimizing GPU clusters or high-throughput compute environments.
• Background in bare-metal provisioning and multi-site failover mechanisms.
• Experience integrating software tools with physical DC infrastructure (power, cooling).

Culture & Benefits

• Flat organizational structure where initiative and excellence are rewarded with leadership.
• High-impact environment focusing on engineering excellence and curiosity.
• Collaborative culture emphasizing concise knowledge sharing and strong work ethic.
• Opportunity to work on bleeding-edge AI infrastructure at a global scale.