Job Description

Job Description
We are looking for a Software Engineer specialized in fraud detection to join the company's technical team. The selected person will participate in the development and evolution of robust, scalable and high-performance software solutions, applying best practices in development, DevOps and machine learning.
Responsibilities:
Design, develop and evolve the fraud detection software solution.
Actively participate in iterative projects (Agile), code reviews and automated tests.
Validate developments in a testing infrastructure that replicates the store environment.
Ensure the robustness and scalability of the solution through appropriate technological and architectural choices.
Provide support in production incidents.
Contribute to the technical community through presentations, conference feedback, and discussions on machine learning, software development, and DevOps practices.
Requirements:
Degree in Computer Science (Master's level) or equivalent experience.
At least 5 years of experience as a Software Engineer.
Experience developing with Python.
Experience in containers and Kubernetes deployment.
Data management and query using SQL.
Experience in provisioning and managing cloud infrastructure with Terraform (experience in GCP is an advantage).
Experience in machine learning projects applied to images or video.
Good level of English.

Salary to receive
To agree