AI Infra Reliability & Observability Engineer

Margo Group

Warszawa

Hybrid

PLN 180,000 - 260,000

Full time

6 days ago
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Job summary

Margo Group in Warszawa, Poland, is seeking an experienced infrastructure engineer to build and operate a large AI platform. You will troubleshoot production incidents, implement observability, and collaborate with cross-functional teams to ensure API and service reliability across environments.

Responsibilities include on-call handling, automation, and documentation of tools and procedures, with emphasis on stability, scalability, and security.

Qualifications

  • Hands-on experience with GPU and HPC infrastructure.
  • Strong scripting and Linux system administration.
  • Familiarity with monitoring/logging tools and CI/CD pipelines.

Responsibilities

  • Build a large AI infrastructure with monitoring, diagnosis, and remediation of production incidents.
  • 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 environments and countries.
  • Promote and apply best practices in 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.

Skills

Proactive mindset
Automation passion
Collaboration
Independent work
Mentorship

Tools

Go
Python
Bash
Linux (Ubuntu/Debian)
Prometheus
Grafana
Elastic
Ansible
MariaDB
GitLab CI/CD

Job description

Margo Group in Warszawa, Poland, is seeking an experienced infrastructure engineer to build and operate a large AI platform. You will troubleshoot production incidents, implement observability, and collaborate with cross-functional teams to ensure API and service reliability across environments.

Responsibilities include on-call handling, automation, and documentation of tools and procedures, with emphasis on stability, scalability, and security.

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