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Cleafy

Real-time fraud detection & prevention platform

Engineering Lead

Engineering LeadershipUpdated on Nov 13
Full-timeMilan, Metropolitan City of Milan, Italy€55k - €62k

About the Job

Requirements

  • A genuinely AI-native way of working, including fluency with modern AI development tools and agentic workflows and the judgment to apply them effectively in building.
  • Proven experience as a full-stack engineer, with a track record of delivering complex products end-to-end.
  • Experience leading, mentoring, or growing engineers, formally or informally, and a genuine interest in people growth.
  • Strong ownership of Agile ways of working and related tooling, including Scrum, Kanban, and Jira, from the perspective of shaping the process rather than merely following it.
  • Solid command of version control with Git and related best practices, including pull requests and Git Flow.
  • Experience designing RESTful APIs and microservices.
  • Experience with containers and continuous integration and continuous delivery tools.
  • A solid grasp of testing methodologies and automation libraries.
  • Comfort evaluating technical choices across a stack that includes Go, TypeScript, Python, Echo, Next.js, and Google Cloud Platform.
  • A bachelor's or master's degree in Engineering, Computer Science, Mathematics, Physics, or a related discipline.
  • Fluency in English and Italian.

Responsibilities

  • Lead, mentor, and grow the team, starting from one senior engineer, through regular one-on-ones, feedback, and clear development paths.
  • Set priorities, remove blockers, and act as the team's technical and organizational point of reference.
  • Drive technical and architectural decisions with product and security, balancing long-term quality with short-term needs.
  • Own end-to-end delivery, including planning, prioritization, quality, meeting deadlines, and managing technical risk.
  • Stay hands-on using AI-assisted and agentic development to design, prototype, test, and ship product features, from broad concepts through implementation details.
  • Build software products that protect customers from attacks and fraud at scale.

Desired Qualifications

  • Experience with machine learning systems and related operations, including model training, evaluation, and deployment.

About the Company

Cleafy

Real-time fraud detection & prevention platform

Cleafy provides real-time fraud detection and prevention for digital services, serving financial institutions, e-commerce platforms, and other digital providers through a subscription-based platform and related services. It uses data science and machine learning to monitor digital channels, identify anomalous behavior, and automate responses to threats with minimal impact on legitimate users. The platform offers continuous real-time visibility and automated blocking or challenging of suspicious activity, complemented by optional consulting and custom integrations. Its goal is to stop fraud before it affects customers, reducing risk while keeping legitimate user experiences smooth.

Company size
51-200
Company stage
Series B
Total funding
$24.2M
Headquarters
Milan, Italy
Founded
2014

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