Systems Research Engineer- Software Engineer, Data and ML Infrastructure

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 $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

Feedzai Research focuses on anticipating and solving Feedzai’s long-term goals without the delivery pressure of product development. The Systems Research Team makes data-driven decisions to design and create new products like Railgun - a state-of-the-art engine to compute real-time metrics now used across Feedzai to process thousands of events per second with millisecond latencies at a scale that Kafka Streams or Flink could not handle - and Feedzai Genome - which gives a graph-view of fraud, allowing analysts to discover other fraud patterns and to tag fraud at scale. We strive to develop ethical cutting edge technology to stay one step ahead of the fraudsters of tomorrow. We work closely with Product and Data Science to build distributed systems that support high-load, operate 24/7 with low latencies, and use Machine Learning to make decisions and fight fraud more efficiently. As a research team, we focus on long-term, disruptive, state-of-the-art research, produce and protect our IP, publish peer reviewed work, contribute to open-source, and partner with external researchers and universities.

Formed by engineers and managed by engineers, at Feedzai you will find one of the most talented teams and a safe, open, and collaborative environment.

We are looking for someone that combines technical knowledge and research skills, is passionate about building cloud native applications that scale to process millions of events per second, while providing low-latency and fault-tolerance guarantees.

Come and change the world with us.

Your Day to Day:

Be hands-on, executing the full software development life cycle and writing well-designed and testable code

Develop state-of-the-art research work on topics including Data Processing, Machine Learning, Graphs, etc

Communicate findings and results to internal and external stakeholders, including writing scientific papers and patents

Design and develop new Cloud Native services, with particular focus on Data and ML Infrastructure

You Have & You Know-how:

BSc/MSc degree in Computer Science, or a similar technical degree

4+ years of experience in developing backend services

Good understanding of distributed systems, multi-threading and OO design principles

Strong programming skills, preferable in Java (or any JVM language) and Python

Ability and interest to digest and implement state-of-art research

Ability to communicate your findings in a clear way, transforming innovation research onto product requirements

Preferable knowledge of Big Data technologies such as Spark, Kafka and EMR/Dataflow

Preferable knowledge of workflow orchestration tools such as Airflow or Flyte