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Riskified

eCommerce fraud prevention and revenue protection

Full-Stack Engineer - Cortex Team

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeLisbon, Portugal

About the Job

Requirements

  • A Bachelor of Science degree in Computer Science or military equivalent certifications.
  • At least 3 years of hands-on full-stack coding experience.
  • Experience with Node.js.
  • Experience with continuous integration and continuous delivery tools.
  • Ability to write clean, tested, high-quality code.
  • Strong collaboration and communication skills to work effectively across teams.
  • Ability to learn independently, with ownership and accountability.

Responsibilities

  • Design and develop highly reliable, available, and scalable architecture for core services in new products.
  • Take ownership of production systems and ensure they run smoothly and reliably.
  • Deploy code to production daily using continuous integration and continuous delivery pipelines.
  • Take technical ownership of complex cross-domain problems and drive them from design through production.
  • Help shape the team roadmap and influence product and technical direction.
  • Collaborate with engineering teams and product managers on cross-department initiatives.

Desired Qualifications

  • Experience with Grafana and Prometheus.
  • Experience with Kubernetes.
  • Experience with Elastic.
  • Experience using artificial intelligence tools to improve workflows and productivity.

About the Company

Riskified

eCommerce fraud prevention and revenue protection

Riskified helps online merchants protect revenue and prevent fraud in ecommerce by using machine-learning models to approve or block transactions in real time before they reach the bank. Its products include pre-authorization decisions and Dynamic Checkout that adjusts the checkout experience based on each shopper’s risk level, reducing friction for legitimate customers while flagging suspicious activity. The company differentiates itself with real-time, pre-authorization ML decisions that tie fraud protection directly to revenue growth and a checkout experience that adapts to risk, scalable for merchants expanding into new markets. Its goal is to help merchants grow revenue and improve customer satisfaction by preventing fraud, lowering false declines, and streamlining the digital checkout process.

Company size
501-1,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2013

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