Software Developer

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What We'll Bring:

What You'll Bring:

The team is responsible for the Decisioning and Offers platform, which is built around a powerful, scalable decisioning engine. We collaborate with major financial institutions to host or integrate with their decisioning and offers platforms, providing customers with accurate, personalized offers and making it as seamless as possible for them to access these products. Our platform leverages large datasets, including Credit Bureau data, machine learning models and other techniques to power our decision-making processes.

Impact You'll Make:

• Contribute to the development and maintenance of internal tools and services
• Write clean, reliable, and well-tested code using TDD
• Create and maintain automated tests to ensure code quality and system reliability
• Debug and fix issues in backend systems, often working directly with clients to understand the problem
• Collaborate with the team on architecture, design, and implementation
• Engage in code reviews and team discussions to grow your knowledge
• Work with clients to gather requirements and understand real-world use cases
• Take ownership of problems and follow them through to resolution
• Use our internal programming language and tools to integrate with external services, build datapoints, replicate calculations, and host machine learning models.

• Some experience coding in a backend language (e.g. Node.js, Python, Go, etc.)
• A basic understanding of testing practices and test automation
• Curiosity about system design, infrastructure, and automation
• Willingness to learn, ask questions, and improve
• Strong problem-solving mindset—you enjoy figuring things out
• Comfortable communicating clearly with teammates and clients
• Ability to manage multiple tasks at once, keep tickets updated and work with leadership to prioritize and continually deliver.

• Exposure to cloud platforms (e.g., AWS, GCP)
• Familiarity with CI/CD pipelines
• Experience with automated testing frameworks or writing tests as part of coursework or projects
• Understanding of working with large datasets and machine learning models.

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