Network Reliability Engineer

MARGO; Polska; On-site; PLN 180,000 - 300,000; Full time

Job summary

MARGO is seeking a hands-on Infrastructure Engineer to build and operate a scalable AI infrastructure in production. You will monitor, diagnose, and remediate incidents, collaborate across engineering teams, and participate in on-call rotations to ensure service continuity.

Ideal candidates bring strong Linux experience, scripting (Bash/Python), and familiarity with Prometheus, Grafana, and CI/CD pipelines, plus networking and security focus. English proficiency required.

Qualifications

• Experience with Go or Python.
• Hands-on Linux administration (Ubuntu/Debian).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, Elastic).
• Experience with Infrastructure-as-Code (Ansible, Salt, AWX).
• Relational databases experience (MariaDB).
• Understanding of CI/CD pipelines (GitLab).
• Networking knowledge (VLAN/LAN, TCP/IP, DNS, load balancing, IPv6).
• Comfortable with English (written and spoken).

Responsibilities

• Build and maintain AI infrastructure with monitoring, diagnosis, and remediation of production incidents.
• Troubleshoot high-impact production issues in collaboration with other engineering teams.
• Participate in on-call rotation to handle incidents and ensure service continuity.
• Implement observability solutions to monitor AI infrastructure and application health.
• Contribute to AI infrastructure lifecycle management across environments and countries.
• Promote best practices for stability, resiliency, scalability, and security.
• Maintain technical documentation for tools and procedures.
• Collaborate with development teams to ensure infrastructure readiness.
• Participate in team rituals and knowledge-sharing initiatives.

Tools

Go

Python

Bash

Linux (Ubuntu/Debian)

GPU & HPC infrastructure

Networking fundamentals

Prometheus

Grafana

Elastic

Ansible

Salt/AWX

MariaDB

GitLab CI/CD

Job description

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)