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)