Feedzai is AI. We’re coding the future of commerce with a leading platform powered by artificial intelligence and big data. Founded and developed by data scientists and aerospace engineers, Feedzai has one critical mission: make commerce safe. The world’s largest banks, payment providers and retailers use Feedzai’s machine learning technology to manage risks associated with banking and shopping, whether it’s in person, online or via mobile devices.
You
We want your incredible talent to drive growth and help our customers be successful. Software engineers are responsible for the end-to-end delivery of software projects, from inception to development to test to support, and as such, you will also be responsible for 24h/day support on a rotating allocation plan with your team. You are a team player, someone who’s reliable and accountable. You care for the quality of your work and for the success of the product you help develop. High-scalability, fault-tolerance, low-latency, and efficient algorithms are keystones of the work you will be asked to perform on a daily basis. Experience in writing high-performance code Java, concurrent and distributed algorithms is highly recommended and/or experience with Docker, Ansible, Maven, Cassandra, Zookeeper, RabbitMQ and related technologies is also highly recommended.
You will work with our Client Delivery Team, whose goal is to implement and customize Feedzai’s solution to best match our client’s unique use case. Our client delivery team works with clients all over the USA, with each client project taking about 12 months to complete.
This role will be based out of our Atlanta office.
Your day–to–day
Your know how
Feedzai is AI. We’re coding the future of commerce with today’s most advanced risk management platform powered by big data and artificial intelligence. Founded and developed by data scientists and aerospace engineers, Feedzai has one mission: make banking and commerce safe. The world’s largest banks, payment providers and retailers use Feedzai’s machine learning technology to manage risks associated with banking and shopping, whether digitally or in person.