Platform Engineering Manager, Shared Services
Pubblicato il 20-10-2026 - Suse in Milano
About Us
SUSE is a global leader of enterprise open source software. By transforming community innovations into secure, sovereign and AI-ready solutions, SUSE empowers customers to escape vendor lock-in and regain control of their IT destiny. Through industry-leading Linux, Kubernetes, Edge and AI infrastructure solutions, SUSE delivers the flexibility to innovate everywhere—from the data center to multi-cloud and out to the edge. Only SUSE also manages many Linux and Kubernetes distributions. At SUSE, Choice Happens because we prioritize community, interoperability and relentless innovation. Discover how we power mission-critical resilience at Engineering Manager, Shared Services
Job Description
The Shared Services team within SUSE IT Platform Engineering operates the portfolio of tools the company runs on: source control (GitLab, GitHub, Gitea), CI/CD, monitoring (Zabbix, Prometheus, Grafana), Bugzilla, email infrastructure, backup (Bareos), and a long tail of services under active rationalization. The team’s mandate is to keep these services reliable,
integrate shadow IT into managed SaaS, and reduce undifferentiated operational lift.
We’re hiring a Manager who can set technical direction, unblock a junior-to-mid team, and bring modern operating practices including responsible adoption of AI tooling.
Key Responsibilities
- Lead and develop a junior-to-mid engineering team. Provide architectural direction and technical mentorship. The team has strong ops chops but often needs senior judgment on design and prioritization.
- Set technical direction across the portfolio. Decide what to invest in, what to decommission, what to migrate to SaaS, what’s “good enough” as-is. Reinforce the team’s tenets: focus on value over polish.
- Own the service portfolio as product manager. Prioritize the backlog, manage stakeholder expectations, trade off feature work, ops, and toil reduction.
- Drive operational excellence. SLO-based reliability, MTTR reduction, structured incident