• Develop and maintain scalable backend services: Design, build, and support robust, scalable, and secure backend services and APIs for identity document processing and verification. Ensure systems are reliable and performant at high scale. • Cross-functional collaboration: Partner closely with Product, Data Science/Machine Learning, and Infrastructure teams to deliver new document verification features. Translate product requirements and ML model outputs into efficient backend solutions within an agile environment. • Improve code quality and practices: Champion best practices in coding, code review, testing coverage, performance optimizations, security, and CI/CD for DocV backend systems, driving enhancements in reliability and maintainability. • Own backend architecture: Take ownership of backend architectural decisions, championing best practices in API design, microservice architecture, and secure data handling. Design systems for scalability, resiliency, and seamless integration with other Socure services. • Optimize performance and reliability: Analyze production metrics and real-world usage data to continuously refine system performance, scalability, and reliability. Identify bottlenecks and proactively lead initiatives to optimize response times and uptime. • Integrate ML/CV capabilities: Collaborate with data scientists to integrate machine learning and computer vision components into the DocV backend pipeline. Ensure the successful deployment and utilization of document verification models and decision logic. • Collaborate with frontend/mobile teams: Work closely with frontend and mobile engineers to define clear API contracts, deliver a seamless end-to-end user experience, and support effective use of backend services. Assist with integration troubleshooting as needed.