• Lead the implementation and ongoing improvement of abuse detection services and customer account security features • With assistance of team manager, implement a home-grown risk decision engine • Build and maintain APIs to support extensible, low-latency risk decisioning • Research and analyze abuse tools and attacker tactics to inform detection strategies • Participate in fraud incident triage and lead development of mitigations and remediation • Collaborate with Data Science and Data Engineering on model feature design • Work closely with Fraud Operations and Application Security to align detection and response • Stay informed on fraud prevention trends and apply relevant insights internally

• Design and implement robust B2B integrations using REST APIs, file-based exchanges, and messaging platforms like Azure Service Bus. • Collaborate with business stakeholders and partners to understand integration needs and translate them into technical solutions. • Develop and maintain Azure-based components (Functions, Logic Apps, App Services) to support integrations. • Leverage Azure API Management to expose and secure internal APIs for external partners. • Implement error handling, retry policies, and alerting mechanisms to ensure resiliency in integration workflows. • Maintain integration documentation. • Monitor, troubleshoot, and optimize the performance and reliability of integration flows. • Ensure integration meets security, auditability, and scalability requirements. • Configure and manage Azure Application Insights and Log Analytics for visibility into integration health. • Conduct regular security reviews and implement compliance controls for integrations. • Participate in planning, code reviews, and design sessions with global product and engineering teams. • Engage in daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies. • Provide accurate estimates and break down work into actionable development tasks. • Collaborate closely with QA and DevOps to ensure features are delivered with high quality and operational readiness.

• Learn to develop and maintain quality, scalable applications using Ember and Angular frameworks. • Assist in converting wireframes and design documents into implemented features. • Help implement UI components with guidance from senior engineers, focusing on supportability and accessibility. • Develop software applications in Python and Go. • Contribute to building AI tools that support student learning and help instructors teach more effectively. • Gain experience working with MySQL databases. • Learn about distributed systems and cloud-native applications. • Participate in DevOps processes using CI/CD tools. • Collaborate with cross-functional teams to support educational technology solutions.

• Own the entire backend architecture from day one • Build and scale core backend systems • Design clean, performant APIs • Collaborate closely with Head of Engineering and CPO • Communicate technical decisions clearly to non-technical stakeholders