• End-to-end responsibility for cross-platform mobile features, including implementation, testing, and release management to ensure stable functionality • Development and maintenance of React Native applications with a focus on clean architecture, maintainable codebases, and long-term scalability • Close collaboration with Product Management, Design, and Backend Engineering to deliver integrated, user-focused mobile solutions • Active participation in code reviews, technical discussions, and planning sessions to ensure shared standards and well-founded decisions

• Develop API interfaces using industry standards between ServiceNow and other Applications. • Troubleshoot compatibility issues in legacy applications on modern OS (Windows/Linux). • Implement software solutions using C++, Rust, and .NET for ERP compatibility. • Design and maintain system applications and libraries. • Work with cloud services (Azure) and deployment pipelines. • Collaborate on AI model integration and frameworks (LlamaIndex, Semantic Kernel).

• Designs technical architecture for assigned processes (45%). • Leads business analyses and manages small projects (20%). • Performs software engineering and administration tasks (20%). • Testing & Validation (5%). • Stays current with applicable technologies, attends conferences, and participates in training as required (5%). • Performs other duties as required (5%).

• Define and execute an engineering strategy aligned with our AI-first, automation-focused healthcare mission. • Lead multi-disciplinary teams across application engineering, R&D/AI innovation, and DevOps/infra. • Drive modernization and innovation within a .NET, C#, React, Oracle-based architecture. • Partner with Product leadership to translate roadmap priorities into scalable, maintainable engineering plans. • Build a long-term technology vision focused on reliability, usability, and intelligent automation. • Lead R&D initiatives for AI-driven insights, workflow automation, decision support, and productivity tools. • Oversee prototyping, experimentation, and rapid iteration for AI-enhanced features. • Guide integration of AI/ML capabilities into the product in partnership with Product. • Support model operationalization using practical, lightweight deploy/monitor frameworks. • Ensure AI capabilities meet healthcare requirements around accuracy, auditability, privacy, and compliance. • Implement engineering KPIs: velocity, cycle time, defect rate, MTTR, release stability, and code quality. • Build dashboards to track engineering productivity, release predictability, and quality trends. • Drive improvements in CI/CD automation, test automation, environment consistency, and DevEx. • Champion automation across build, test, deployment, and maintenance operations. • Set high standards for code quality, maintainability, performance, and test coverage. • Strengthen architectural governance within a monolithic or modular .NET architecture. • Drive modernization and technical debt reduction. • Ensure secure and compliant development aligned with HIPAA, SOC 2, and healthcare data standards. • Build and inspire distributed engineering teams across time zones. • Promote collaboration, async communication, and strong remote culture. • Mentor engineering leaders and grow a robust succession pipeline. • Foster psychological safety, innovation, diversity, and execution excellence.