10 дней назад
Platform Engineering Manager, Shared Services (AI)
67 000 - 80 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineering Manager, Shared Services (AI): Leading the shared-services platform portfolio covering source control, CI/CD, monitoring, email, backup, and related infrastructure with an accent on technical direction, reliability, SaaS migration, and responsible AI adoption. Focus on improving SLO-based operations, reducing toil and MTTR, evaluating Agentic AI use cases, applying FinOps, and integrating shadow IT into managed services.
Location: Czech Republic, EMEA
Salary range for Italy: €67,000–€80,000 per year, including base salary and any applicable target bonus opportunity.
Company
develops enterprise open source software and provides Linux, Kubernetes, Edge, and AI infrastructure solutions.
What you will do
- Lead and develop a junior-to-mid engineering team through architectural direction, technical mentorship, and prioritization.
- Set technical direction for source control, CI/CD, monitoring, email, backup, and other shared services.
- Own the service portfolio as a product manager, balancing feature work, operations, and toil reduction.
- Drive operational excellence through SLOs, structured incident response, and MTTR reduction.
- Lead practical AI adoption, including assisted coding, runbook automation, knowledge retrieval, and ticket triage.
- Apply FinOps principles, support SaaS migration, and bring shadow IT into managed services.
Requirements
- Several years of IT or infrastructure experience, including 3+ years managing engineering teams.
- Bachelor’s degree in a technical field or equivalent practical experience.
- Strong systems architecture experience covering distributed systems, identity, networking, and service operations.
- Experience with SLOs, error budgets, DORA metrics, IaC/GitOps, and FinOps.
- Ability to lead AI-assisted tooling adoption and evaluate GenAI use cases with attention to data governance and security.
- Pragmatic decision-making, ambiguity tolerance, and a record of removing technical and organizational roadblocks.
Nice to have
- Hands-on experience with GitHub Copilot, Claude Code, ChatGPT Enterprise, or equivalent tools.
- Awareness of AIOps capabilities and evaluation methods.
Culture & Benefits
- Ownership of a broad portfolio supporting engineering across the organization.
- Opportunities to shape AI adoption, SaaS migration, and service decommissioning.
- Open source culture based on Choice, Community, Trust, and Innovation.
- Inclusive environment supporting diverse backgrounds, perspectives, and individual development.
- Background checks are required after accepting an offer, where legally permitted.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →