Inetum

Observability Engineer, AI Monitoring

Inetum

full-time

Posted on:

Location Type: Remote

Location: Iowa • United States

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Tech Stack

GrafanaPrometheus

About the role

  • Implement the full observability stack (metrics, logs, traces).
  • Create dashboards specific to AI models (drift, performance, latency).
  • Establish intelligent alerting systems and SLIs/SLOs for AI applications.
  • Develop debugging and troubleshooting tools.
  • Implement distributed tracing for AI requests.

Requirements

  • Degree or Higher Technician (MECES Level 1 / EQF Level 5) in Information Technology, engineering, mathematics, statistics, or physics.
  • Minimum 4 years in observability/monitoring.
  • At least 2 years working with ML applications.
  • Experience with observability stack (Prometheus, Grafana, Jaeger, ELK).
  • Experience with APM tools.
  • ML-specific monitoring (model drift, data drift).
  • Telemetry and monitoring standards.
  • Alerting and incident response.
Benefits
  • 22 days of vacation + 2 personal leave days.
  • Company-provided training to support your development and career progression within the existing career plan.
  • Opportunity to attend relevant industry events and conferences.
  • Permanent contract (open-ended).
  • Job stability and a positive work environment.
  • Competitive salary.
  • Access to group company benefits.
  • Flexible compensation and additional benefits.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
observabilitymonitoringdebuggingtroubleshootingdistributed tracingmachine learning applicationsmodel drift monitoringdata drift monitoringalertingincident response
Certifications
Degree in Information TechnologyDegree in engineeringDegree in mathematicsDegree in statisticsDegree in physics