Platform Engineering Manager — AI-Driven Ops Leader

SUSE

España

Presencial

EUR 90.000 - 130.000

Jornada completa

Hace 8 días
Generador de candidaturas

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Descripción de la vacante

SUSE is seeking a Platform Engineering Manager for Shared Services to lead the IT Platform Engineering team's portfolio of tools including GitLab, GitHub, Gitea, CI/CD, monitoring, Bugzilla, email infrastructure and backup. You will set technical direction, mentor staff, and ensure reliable operations across the portfolio.

The role emphasizes AI tooling adoption, FinOps, and cross-team collaboration. Candidates should have 3+ years leading engineering teams, a technical degree, and strong

Formación

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 3+ years managing engineering teams.
  • Strong systems architecture and distributed systems experience.
  • Experience with AI tooling adoption in IT operations.
  • Familiarity with DevOps, IaC/GitOps, and FinOps concepts.
  • Ability to remove roadblocks and coordinate across teams.

Responsabilidades

  • Lead and mentor a junior-to-mid engineering team.
  • Set technical direction and portfolio investments.
  • Own the service portfolio as product manager, balancing features, ops, and toil.
  • Drive SLO-based reliability and incident response.
  • Lead AI adoption and scale practical use cases.
  • Collaborate across ITPE and wider IT and business units.
  • Apply FinOps thinking to optimize costs.

Conocimientos

Engineering leadership
Management experience
AI literacy
Strategic direction
DevOps practices
FinOps awareness
Cross-team collaboration

Educación

Bachelor's degree in a technical field

Herramientas

GitLab
GitHub
Gitea
CI/CD tooling
Zabbix
Prometheus
Grafana
Bugzilla
Bareos

Descripción del empleo

SUSE is seeking a Platform Engineering Manager for Shared Services to lead the IT Platform Engineering team's portfolio of tools including GitLab, GitHub, Gitea, CI/CD, monitoring, Bugzilla, email infrastructure and backup. You will set technical direction, mentor staff, and ensure reliable operations across the portfolio.

The role emphasizes AI tooling adoption, FinOps, and cross-team collaboration. Candidates should have 3+ years leading engineering teams, a technical degree, and strong

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