About the job
About Payoneer
Established in 2005, Payoneer is a leading global financial platform dedicated to simplifying international business transactions. Our mission is to connect underserved businesses worldwide to the expanding global economy. With a diverse team of over 2,500 professionals across more than 190 countries, we are committed to delivering exceptional service to our customers and partners.
We streamline complex financial workflows, from global payments and compliance to multi-currency management and business intelligence, providing businesses the essential tools to operate effectively and grow with confidence.
Role Summary –
As a Senior Backend Engineer within our Pricing & Packaging R&D team, you will play a crucial role in developing our monetization platform from scratch. You will create pricing and packaging engines that drive our global payments platform. Your responsibilities will encompass the entire development lifecycle, ranging from discovery and design to implementation, testing, deployment, and monitoring, utilizing advanced AWS technologies and AI tools, all while upholding best engineering practices and quality standards. This is a unique opportunity to influence our engineering processes early on and grow alongside an innovative team.
What You’ll Do –
- Collaborate closely with Product, Design/UX, DevOps, and other R&D teams to translate business requirements into technical solutions throughout the full development lifecycle: discovery, design, implementation, code reviews, testing, deployment, and monitoring.
- Design, develop, and maintain backend services and APIs for pricing, packaging, and monetization flows using Node.js and C# with relational and document-based databases (SQL, MongoDB), hosted on AWS with containers and Kubernetes.
- Write clean, maintainable, and testable code that adheres to engineering best practices.
- Integrate message brokers (e.g., Kafka, SQS, RabbitMQ) to create robust, event-driven architectures.
- Contribute to enhancing our CI/CD pipelines, observability, and overall production readiness (logs, metrics, alerts, dashboards).
- Engage in continuous learning and knowledge sharing to foster team growth and expertise.
