5+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations
Experience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems
Strong knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space
Previous experience in Infrastructure roles building or managing compute, storage or networking platforms
Understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP)
Familiarity with incident management practices and reliability frameworks (SRE, ITIL, or similar)
Experience with monitoring and observability tools such as Prometheus and Grafana, or a strong desire to deepen expertise in this area
Familiarity with infrastructure-as-code and configuration management tools such as Terraform or Ansible
Scripting or programming experience with languages such as Go, Python, C, or C++
Strong communication skills and the ability to collaborate across engineering teams
Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments
A growth mindset and strong interest in reliability engineering, automation, and operational excellence
Experience working with Kubernetes or container orchestration platforms at scale
Exposure to change management processes, operational readiness reviews, or structured root cause analysis
Experience designing self-healing systems, automated remediation, or event-driven operational tooling
Interest in scaling AI or HPC infrastructure and solving reliability challenges in GPU-heavy environments
Passion for mentorship, learning, and developing deeper expertise in Production Engineering