Engineer - Collection

About the role: Ready to see the direct impact of your code on business results and customer lives?

Join our Collection team as a Software Engineer and help shape the future of debt recovery at CloudWalk!

You'll be building end-to-end collection journeys that maximize debt recovery while maintaining an exceptional customer experience.

This role combines technical excellence with AI-powered solutions to accelerate delivery and drive measurable impact.

What You'll Be Doing

• Build & Scale: Develop intelligent, scalable solutions for collection journeys that handle high-volume debt recovery operations.

• Design Customer-Centric Experiences: Create comprehensive renegotiation and installment strategies that balance recovery goals with customer satisfaction.

• Leverage AI for Impact: Use artificial intelligence to prioritize tasks, automate workflows, and accelerate feature delivery.

• Collaborate & Iterate: Work cross-functionally with Product, Data, and Customer Success teams to test and implement recovery strategies.

• Measure & Optimize: Analyze customer behavior data to measure impact and continuously iterate on collection approaches.

What You'll Need To Succeed

• Love Building Backend Solutions: Have solid software development experience with backend technologies, preferably Python (though we're open to other backend languages too).

• Embrace AI & Automation: Are familiar with generative AI tools and models, ready to integrate them into real-world applications.

• Are Genuinely Curious: Have authentic interest in credit, collections, and debt recovery domains—you want to understand the business impact.

• Drive Results: Are impact-oriented with a focus on solving real problems and delivering measurable outcomes.

• Thrive in Fast-Paced Environments: Can balance technical excellence with urgency and customer-first thinking.

• Advanced/fluent english for communication

Nice to Have

• Fintech Experience: Previous work in credit, collections, or financial services.

• Analytics Skills: Comfort with data analysis tools and the ability to derive insights from customer behavior patterns.

• AI/ML Background: Experience building or deploying machine learning models in production environments.