Software Engineer - Machine Learning and Fraud Detection - Remote

Overview

Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of +$1.5B, the company's technology protects 900 million people in 190 countries.

In Short

• Be hands-on, executing the full software development life cycle
• Develop backend website applications, API’s and manage databases, on an event-driven architecture
• Design and develop services to retrieve, process and transform requests in near real-time
• Contribute to best practices and guidelines for software development
• Provide support and improvements to production clients
• Work with a talented team of engineers
• Engage in continuous learning and innovation
• Focus on building scalable technical solutions
• Collaborate with Product Management and Data Science teams
• Drive engineering excellence and challenge the status quo

Requirements

• BSc/MSc degree in Computer Science, or a similar technical degree
• 4+ years of experience in developing and delivering advanced applications
• Critical mindset and autonomy
• Experience with Java, Spring, and Quarkus
• Knowledge of databases, SQL/NoSQL, and ACID principles
• Experience building REST APIs services
• Familiarity with Docker, Kubernetes, and cloud environments
• Good technical English communication skills
• Experience in designing and operating large production systems
• Knowledge of CI/CD methodologies

Benefits

• Collaborative and open work environment
• Opportunities for continuous learning
• Work on innovative solutions in fraud detection
• Be part of a fast-paced and dynamic team
• Contribute to a mission-driven company