网络可靠性工程师

#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