EU remote
Software Engineer - Customer Success
About this role
At Feedzai, we're building a world of safer money. A world where financial institutions move faster than criminals. Where the payments that fund real lives through salaries, savings, and businesses are protected in real time. We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the world's top banks, payment networks, and acquirers trust our technology to safeguard more than one billion consumers and $9 trillion in payment volume every year.
Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year. The Customer Success Engineering team works directly with clients to ensure that every technical aspect of our product—installation, configuration, and customization—is delivered smoothly and at the highest standard. We act as technical consultants, helping clients solve complex and unique challenges.
Our team is dynamic, persistent, and committed to delivering a world-class experience. If you’re excited about being a client-facing engineer who makes a real impact, this is the opportunity for you. You: Feedzai sells and implements one the the world's leading Fraud Risk Scoring systems. We work with some of the largest banks and financial firms to help protect them from transaction fraud, money laundering, and account takeover.
As a Software Engineer in the Customer Success organisation you will be responsible for making sure our products are installed and meet our clients requirements with integration and performance management. You will work with a broad range of technologies including multiple flavours of SQL, NoSQL database, on-premise environments, Cloud environments (AWS, Azure, Google), along with multiple streaming or messaging systems (RabbitMQ, Kafka).
The software engineer while working with these technologies will help with installation and configuration of our solutions, but will also develop custom Java inbound and outbound interfaces, use web services to enhance data in process and will develop custom extensions and modules for our Fraud Analysis platform. You will work as part of a project team alongside Data Scientist, Project Managers, Fraud Analysts and your peers to meet with the client, understand their needs, turn those needs into requirements and execute on those requirements.