As a Principal Software Engineer, you will be responsible for leading the design and implementation of the domain architecture for Ratepay‘s risk management platform. This platform scans hundreds of thousands of transactions per day in order to enable secure payments for our merchants and their customers while also protecting our profitability.
For this purpose, Software Engineers, Data Scientists, Data Engineers, Machine learning Engineers and Product Managers closely collaborate in the Risk-engineering tribe to continuously enhance our risk management capabilities by creating new inhouse solutions for fraud prevention and credit risk assessment based on state-of-the-art machine learning, data processing, and the integration of third-party providers.
Additionally, you will be responsible for fostering cross-domain collaboration and alignment to ensure that our systems are fully integrated and able to meet the needs of our customers.
Your tasks at Ratepay, among others
For this purpose, Software Engineers, Data Scientists, Data Engineers, Machine learning Engineers and Product Managers closely collaborate in the Risk-engineering tribe to continuously enhance our risk management capabilities by creating new inhouse solutions for fraud prevention and credit risk assessment based on state-of-the-art machine learning, data processing, and the integration of third-party providers.
Additionally, you will be responsible for fostering cross-domain collaboration and alignment to ensure that our systems are fully integrated and able to meet the needs of our customers.
Your tasks at Ratepay, among others
- Lead the design and implementation of the domain architecture for our software systems
- Ensure that our systems are scalable, reliable, and easy to maintain
- Design and implement scalable and robust ML Ops systems that can handle large volumes of data and ensure efficient and effective model deployment and monitoring
- Foster cross-domain collaboration and alignment to ensure that our systems are fully integrated
- Make technical decisions and provide guidance to the development team
- Work with the business stakeholders and other members of the development team to understand the requirements and make technical decisions that align with the overall architecture and strategy.
- Migrate existing applications to AWS, working with the team to ensure that the applications are optimized for the cloud.
- Extend existing APIs to improve functionality and performance.
- Stay up-to-date with the latest ML Ops technologies and trends and propose new solutions that can drive innovation in the field
