Network Operations Engineer - Remote EU (AI Cloud)

Hub

United States

Hybrid

USD 77,000 - 121,000

Full time

31 hours ago
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Benefits offered by this job

Cash and equity compensation
Global team of engineers and partners
Office in Helsinki / remote within EU

Job summary

Verda, a Helsinki-based full-stack AI cloud company, is seeking a Network Operations Engineer to ensure reliability of our production network supporting AI workloads. You will work with Network Engineering, Data Center Operations, SRE and external providers to troubleshoot incidents, perform maintenance, and drive improvements at scale.

This hands-on role emphasizes observability, automation, and operational excellence.

Qualifications

  • Experience operating production networks in data centers, cloud, or AI infra.
  • Hands-on with network hardware and software upgrades.
  • Experience with monitoring, alerting, and observability tools like Grafana.
  • Experience handling production incidents and on-call rotations.
  • Strong troubleshooting and decision-making under pressure.

Responsibilities

  • Improve dashboards and telemetry to detect issues early.
  • Troubleshoot production incidents and restore services.
  • Plan and execute maintenance with minimal disruption.
  • Coordinate with hardware vendors and ISPs on escalations.
  • Ensure deployments meet operational standards.
  • Develop runbooks and automate repetitive tasks.

Skills

Production networks
Network monitoring
Troubleshooting
Incident response
Automation
Documentation
On-call experience
Vendor coordination
Communication

Tools

Grafana
Network monitoring tools
NetBox
DCIM/IPAM

Job description

Verda, a Helsinki-based full-stack AI cloud company, is seeking a Network Operations Engineer to ensure reliability of our production network supporting AI workloads. You will work with Network Engineering, Data Center Operations, SRE and external providers to troubleshoot incidents, perform maintenance, and drive improvements at scale.

This hands-on role emphasizes observability, automation, and operational excellence.

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