Network Reliability Engineer
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Reach the decision-maker — $5About the role
#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) Originally posted on Himalayas
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