#HPC #AI #GPU #CLUSTERS

Build a large AI infrastructure with monitoring, diagnosis, and remediation of production incidents- Troubleshoot high-impact production issues in collaboration with other engineering teams
Participate in an on-call rotation to handle incidents and ensure service continuity
Implement and maintain observability solutions to monitor AI infrastructure and application health
Contribute to AI infrastructure lifecycle management across different environments and countries
Promote and apply best practices in terms of stability, resiliency, scalability, and security
Maintain clear technical documentation for tools and procedures
Contribute to system and tool evolution based on production feedback
Collaborate closely with development teams to ensure infrastructure readiness- Participate in team rituals and knowledge-sharing initiatives

🎯 SOFTSKILLS :

Experience with Go or Python
Strong scripting skills (Bash, Python)
Hands-on experience with Linux systems (Ubuntu/Debian)
Preferred hands-on experience with GPU & HPC infrastructure
Knowledge of networking (VLAN/LAN, TCP/IP, DNS, BGP, load-balancing, IPv6, etc.)
Familiarity with monitoring and logging tools (Prometheus, Grafana, Elastic, etc.)
Comfortable with Infrastructure-as-Code (Ansible, Salt, AWX, etc.)
Experience managing relational databases (MariaDB)
Understanding of CI/CD pipelines (GitLab)
Comfortable with English (written and spoken)

Originally posted on Himalayas

Network Reliability Engineer at MARGO