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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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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