The Brick

DevOps Engineer

• Work closely with business, development, and DevOps teams to define and elaborate technical solutions for new business features.
• Practice mid-term infrastructure architecture design in collaboration with business and application architects to meet company goals while considering long-term growth.
• Automate all aspects of infrastructure setup and maintenance from the beginning.
• Implement best practices for monitoring and alerting to reduce problem resolution time (and keep everyone happy).
• Stay current with and adopt the latest features of the AWS platform (or other cloud providers) to fit company goals and team needs.
• Develop your own skills and actively develop the DevOps skills (hard skills and culture) of team members.

DevOps Engineer, Bilingue

Backend Engineer

• Work closely with business, development, and DevOps teams to define and elaborate technical solutions for new business features.
• Practice mid-term infrastructure architecture design in collaboration with business and application architects to meet company goals while considering long-term growth.
• Automate all aspects of infrastructure setup and maintenance from the beginning.
• Implement best practices for monitoring and alerting to reduce problem resolution time (and keep everyone happy).
• Stay current with and adopt the latest features of the AWS platform (or other cloud providers) to fit company goals and team needs.
• Develop your own skills and actively develop the DevOps skills (hard skills and culture) of team members.
• Design, develop, and maintain scalable backend systems
• Implement and maintain integrations with third-party services (KYC, CBS, credit bureau, anti-fraud)
• Develop tests for new features (e2e, integration, unit)
• Optimize performance using Kubernetes and AWS
• Contribute to new feature design and implementation
• Work in an agile environment with daily stand-ups
• Collaborate with a remote team

Backend Developer, Bilingüe

Data Scientist

• Own and shape the company's machine learning landscape with a focus on credit risk and portfolio health
• Design, build, and continuously improve credit scoring models using credit bureau, behavioral, and alternative data sources
• Leverage advanced ML/AI techniques (gradient boosting, neural networks, feature engineering) to optimize risk assessment
• Own the ML lifecycle from experimentation to production, ensuring scalable, robust, and explainable models in partnership with engineering teams
• Set up monitoring, model validation, and performance tracking systems to ensure predictive stability and compliance
• Collaborate with product, operations, and risk analysis teams to integrate ML-driven solutions into lending, collections, and new product launches
• Act as subject-matter expert in data science for risk, mentoring team members and setting best practices for model governance, fairness, and interpretability

DevOps Engineer, Bilingue

Backend Developer, Bilingüe

Lead Data Scientist, Machine Learning