(Reduction in force)

Key Responsibilities:Designed and implemented robust backend services using C# and .NET Core, optimizing performance for Ancestry's proprietary genealogy applications.Developed and maintained scalable enterprise-level integrations using Java and the Spring Framework, enabling real-time data synchronization across internal and third-party platforms.Built dynamic and responsive user interfaces with ReactJS, delivering intuitive dashboards for cross-departmental data visualization.Streamlined data storage and retrieval processes with PostgreSQL, ensuring secure and efficient handling of large-scale customer data.Deployed containerized microservices using Docker, orchestrated via Kubernetes, enhancing scalability and reducing system downtime during updates.Achievements:Increased System Interoperability: Spearheaded a project to integrate Ancestry’s genealogy platform with third-party DNA testing APIs, reducing data processing time and enabling a faster user experience.Improved Application Scalability: Migrated critical backend services to a containerized architecture with Docker and Kubernetes, achieving a 99.9% uptime rate and cutting deployment times.Enhanced User Experience: Delivered a ReactJS-powered admin interface for internal teams to manage customer profiles and data requests, increasing operational efficiencyCross-Functional Collaboration: Collaborated with data scientists, product managers, and DevOps engineers to design secure and compliant data flows aligned with GDPR requirements.