• Design, build, and maintain high-quality backend applications. • Lead the development of our backend system's roadmap, prioritizing scalability and reliability. • Innovate and think creatively to develop new features that enhance our customer's shopping experiences. • Own and lead major components of our product, ensuring they meet both internal standards and external expectations. • Collaborate across teams to foster a unified approach to product development, facilitating consensus and driving effective outcomes. • Responsible for the strategic planning and execution of projects you oversee, from inception to deployment and maintenance.

• Develop and implement core platform solutions for pioneering product launches. • Define and advance a three-year technological vision. • Collaborate with product and business teams. • Analyze and refine our architecture. • Establish new standards to improve the engineering quality. • Employ advanced AI toolsets to accelerate development processes. • Mentor and nurture a team of engineers.

• Design, develop, and maintain robust, scalable, and highly available backend systems for payment processing. • Implement payment-related APIs and services, ensuring security, reliability, and accuracy at every step of the payment lifecycle. • Lead technical projects that span multiple teams, from initial design to execution and continuous improvement. • Integrate with external payment processors, gateways, wallets, and financial partners while ensuring compliance with regulatory requirements. • Optimize systems for cost, performance, observability, and operational efficiency. • Collaborate with cross-functional partners across legal, product, data science, finance, operations, and more. • Proactively drive platform improvements and initiatives that impact key business metrics. • Mentor and support fellow engineers, establish best practices, and uphold high standards for code quality and architecture.

• Design and build machine learning systems that process data sets from the world’s largest consumer services • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters • Build and optimize systems, tools, and validation strategies to support new features • Help design/build distributed real-time systems and features • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)