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COCoreTylynt

Vice President of Engineering(m/w/x)

Berlin
Full-timeOn-siteSenior
AI/ML

Directing engineering for a platform redefining supply chain sourcing, distribution, and financing, with focus on architectural scaling. Proven experience leading teams through platform scaling and architectural transformation required. Focus on AWS/GCP/Azure, microservices, and event-driven architectures.

Requirements

  • 10+ years of software engineering experience
  • Proven experience leading teams through platform scaling, architectural transformation, or modernization initiatives
  • Strong hands-on background in software architecture, distributed systems, APIs, and data-driven platforms
  • Deep understanding of cloud infrastructure (AWS, GCP, or Azure), microservices, and event-driven architectures
  • Solid knowledge of DevOps practices, CI/CD pipelines, infrastructure automation, and observability
  • Experience operating in AI-enabled or AI-first product environments
  • Excellent communication skills, with the ability to connect technical decisions to business impact
  • Genuine passion for building teams, scaling systems, and delivering technology that creates meaningful customer value

Tasks

  • Lead and mentor a high-performing engineering organization
  • Develop engineering leaders and managers
  • Foster accountability, ownership, and technical excellence
  • Build an inclusive engineering culture with high standards
  • Collaborate with Business and Product leadership on roadmap planning
  • Represent engineering perspectives in executive discussions
  • Align technology strategy with company goals and customer outcomes
  • Ensure continuous improvement of the marketplace platform
  • Lead architectural evolution toward scalable, cloud-native systems
  • Balance short-term delivery with long-term scalability
  • Define principles for maintainable and scalable architecture
  • Guide integration of AI/ML capabilities into production systems
  • Anticipate future technical needs as the business scales
  • Own system reliability, performance, security, and uptime
  • Strengthen DevOps practices and CI/CD pipelines
  • Drive disciplined engineering processes and delivery predictability
  • Encourage experimentation with new technologies
  • Create an environment for innovation while maintaining operational rigor

Work Experience

  • 10 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • AWS
  • GCP
  • Azure
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