• Develop and maintain complex Drupal-based solutions • Create custom modules and extend existing functionality • Implement sophisticated content modeling • Design and develop custom themes using modern front-end technologies, with specific experience around theme development • Lead small to medium-sized development initiatives • Participate in code reviews and provide constructive feedback • Implement complex migrations and data transformations • Troubleshoot and resolve advanced site issues • Configure and optimize caching and performance • Contribute to technical documentation and development standards • Collaborate with architects on solution design • Implement security best practices and maintain compliance requirements

• Work on a strategic project, leading development teams in a highly technically complex environment • Be hands-on and strategic, serving as a technical reference • Influence architectural decisions and ensure quality, performance, and scalability of solutions • Provide technical guidance to the team and support architectural decisions • Evolve the platform and ensure consistent deliveries in a cloud-native environment focused on microservices, APIs, and engineering best practices • Lead cross-team integration and architecture modernization

• Hands-on Python developer with a strong data and automation background • Focused on data processing, transformation, and pipeline/batch optimization • Strong experience in building scalable, efficient data solutions for automation-driven environments • Ability to work end-to-end in data workflows, from ingestion to optimization and performance

• Build and maintain robust, scalable, and secure backend services and APIs for identity document processing and verification • Collaborate with Product, Data Science/Machine Learning, and Infrastructure teams to design and implement new document verification features in an agile environment • Drive improvements in code quality, testing coverage, performance optimization, security, and CI/CD practices for the DocV backend systems • Own backend architecture decisions and advocate for best practices in API design, microservice architecture, and secure data handling • Analyze production metrics and real-world usage data to continuously refine system performance, reliability, and scalability • Contribute to the integration of machine learning and computer vision components into the DocV backend pipeline • Work closely with frontend and mobile engineers to define clear API contracts and ensure a seamless end-to-end user experience