8 дней назад
Site Reliability Engineering Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Site Reliability Engineering Lead (AI) (Google Cloud/Kubernetes): Leading the hybrid infrastructure platform across Google Cloud, data centres, networks, and campus systems with an accent on reliability, security, automation, and hands-on architecture. Focus on defining infrastructure strategy, building infrastructure as code and self-service capabilities, solving critical incidents, and developing sustainable on-call and blameless learning practices.
Location: Düsseldorf, Germany; hybrid work with up to 2 work-from-home days per week. Remote work from Germany or selected countries abroad is available for up to 20 days per year.
Company
operates a hotel metasearch engine that helps millions of travelers compare prices across booking sites using real-time auction, machine learning, and large-scale data infrastructure.
What you will do
- Lead a team of eight SREs and network engineers and define the direction of the Hybrid Platform team.
- Own the strategy and roadmap for infrastructure spanning Google Cloud, data centres, campus networks, and hybrid connectivity.
- Shape architecture, troubleshoot critical incidents, and contribute to automation and infrastructure as code.
- Improve platform security, availability, performance, cost efficiency, self-service capabilities, and reliability targets.
- Build sustainable on-call rotations, blameless postmortems, and a culture focused on resolving root causes.
- Manage hardware lifecycles, vendors, contracts, budgets, hiring, coaching, career development, priorities, and team OKRs.
Requirements
- Hands-on experience with cloud and on-premise data centre and network infrastructure, including TCP/IP, BGP, OSPF, and IP fabric architectures.
- Experience leading, coaching, or mentoring infrastructure, network, or platform engineering teams.
- Strong communication skills for working with engineers, executives, and non-technical stakeholders.
- Experience with infrastructure as code such as Terraform or Ansible, Kubernetes, CI/CD, and daily use of AI tools in real workflows.
- Ability to set data-driven reliability, capacity, and cost goals and participate in critical incident escalation.
- Ability to work in the hybrid Düsseldorf setup is required; visa support is available for relocation.
Nice to have
- Experience with Juniper routers, switches, and firewalls.
- Google Cloud networking, Interconnect, VPN, data centre hardware, colocation, or hardware vendor management.
- Cloud cost management, FinOps, or migrations between on-premise and cloud environments.
- Open source involvement.
Culture & Benefits
- Autonomous teams with direct access to production and ownership of technical decisions.
- Continuous deployment, short feedback loops, and dedicated time for experimentation and AI-powered engineering workflows.
- Learning opportunities including technical meetups, guilds, architecture reviews, certifications, conferences, courses, and a campus library.
- Self-determined vacation with a minimum of 25 days, flexible working hours, and remote work options.
- Visa support, relocation package, interest-free newcomer loan, and free language classes are available for relocation.
- Campus canteen, snacks and drinks, gym and sports options, ergonomic workspaces, childcare support, and a kids room.
Hiring process
- Recruiter screening call.
- Technical interview with two team members and a Profile Dynamics assessment.
- Final interview with team and department leads.
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