Location
Amsterdam, Netherlands; work format is not specified.
About the company
A global AI cloud provider building a full-stack platform for developers and enterprises, from data and model training to production deployment. It operates large-scale GPU infrastructure and data centres, with R&D hubs across Europe, the UK, North America and Israel and a team of over 1,500 people.
Responsibilities
- Drive cross-team automation programmes across the hardware lifecycle, from server provisioning and firmware updates to fault detection, self-healing remediation and data-centre-scale operational tooling
- Set goals, timelines and a unified roadmap across multiple engineering teams, aligning conflicting priorities and C-level stakeholder needs
- Facilitate technical and procedural decisions and establish repeatable processes that reduce manual effort at fleet scale
- Coordinate engineers, operations teams and infrastructure stakeholders through design, build, rollout and ongoing reliability
Requirements
- Engineering Manager or Technical Project/Program Manager with an engineering management background, ready to move from team-level to organisation-level impact across 6 teams and 30+ engineers
- Strong operational risk awareness: structured staged rollouts, rollback criteria and safety gates before automation runs unsupervised on production infrastructure
- Experience bridging engineering and operations stakeholders with different risk tolerances without stalling delivery
- Nice to have: hardware automation domains (zero-touch provisioning, firmware orchestration, automated hardware testing, self-healing), infrastructure-as-code and configuration management (Terraform, Ansible, Kubernetes), data centre operations, SRE practices and observability platforms (Prometheus, Grafana, Datadog or equivalent)