Network Reliability Engineer

#HPC #AI #GPU #CLUSTERS   YOUR DAILY ROUTINE - 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   ABOUT YOU   🎯 SOFTSKILLS :  - Proactive and solution-oriented mindset - Passion for automation and continuous improvement - Strong collaboration and communication skills - Ability to work independently and in a team - Willingness to mentor and share knowledge   💻 HARDSKILLS :  - 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)