About the job
Join Feedzai, the pioneering RiskOps platform for financial risk management, recognized as the leader in securing global commerce through cutting-edge cloud-based risk management solutions powered by machine learning and artificial intelligence. We are at the forefront of enabling a cashless world, fostering digital trust in every transaction. Major banks, processors, and retailers rely on Feedzai to protect trillions of dollars and manage risks while enhancing user experiences without compromising privacy. As a Series D company with a valuation of $2 billion, we safeguard 1 billion consumers and process 90 billion transactions annually.
The Engineering (Tech) Team drives all product development at Feedzai. Collaborating closely with Product Management and Data Science, we are building the next generation of tools for real-time fraud detection with a machine learning-first approach. Comprising a talented group of engineers, we offer a dynamic environment that supports continuous learning and innovation.
In this role, you will tackle a variety of technical challenges, including building distributed systems that operate 24/7 with ultra-low latency, addressing UI/UX concerns to empower fraud analysts, and designing extensive databases across relational, NoSQL, and graph technologies. You will also validate and develop new data science techniques and algorithms.
You:
You are a dedicated professional committed to engineering excellence, capable of challenging the status quo and mentoring others. You excel at fostering clarity, engaging stakeholders, and driving scalable technical solutions that align with our business goals. Your critical mindset allows you to ensure the team delivers high-quality, production-ready mobile software with minimal oversight, while you work on High-Performance Mobile SDKs, Security, and Scalability.
