Network Reliability Engineer
Posted Updated
#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)
Skills
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