Network Reliability Engineer

Quick Facts

• Role: Network Reliability Engineer

• Focus: AI infrastructure reliability for production incidents, observability, and resilience

Description

You will help build and operate a large AI infrastructure by implementing monitoring, diagnosis, and remediation of production incidents. You will troubleshoot high-impact issues with other engineering teams, support an on-call rotation, and contribute to observability and reliability best practices across environments.

Responsibilities

• Build and maintain monitoring, diagnosis, and remediation processes for production incidents

• Troubleshoot high-impact production issues with other engineering teams

• Participate in an on-call rotation to maintain service continuity

• Implement and maintain observability solutions for AI infrastructure and application health

• Support AI infrastructure lifecycle management across different environments and countries

• Apply best practices for stability, resiliency, scalability, and security

• Maintain clear technical documentation for tools and procedures

• Evolve systems and tools based on production feedback

• Collaborate with development teams to ensure infrastructure readiness

Requirements

• Experience with Go or Python

• Strong scripting skills (Bash, Python)

• Hands-on experience with Linux systems (Ubuntu/Debian)

• Knowledge of networking (VLAN/LAN, TCP/IP, DNS, BGP, load-balancing, IPv6)

• Familiarity with monitoring and logging tools (Prometheus, Grafana, Elastic)

• Comfort with Infrastructure-as-Code (Ansible, Salt, AWX)

• Experience managing relational databases (MariaDB)

• Understanding of CI/CD pipelines (GitLab)

• Comfortable with English (written and spoken)

Benefits

• On-call rotation and a culture of continuous improvement

• Work on large-scale AI infrastructure reliability, observability, and resilience