• Develop highly scalable and reliable data systems for data centric products and services on an AWS cloud-based platform • Work closely with Data Science teams creating solutions incorporating Machine Learning algorithms and models using Python with Data Engineering libraries and tools • Deliver reliable and scalable data streaming application functionality • Diligently observe and maintain Standards for Regulatory Compliance and Information Security • Without fail deliver and maintain accurate, complete and current documentation • Contribute to and promote full Agile cycle engagements, including meetings, iterative development, estimations, code reviews and design sessions • Lead, mentor and collaborate with other team members • Collaborate and contribute with architecture, product and design decisions to deliver superior functionality and quality • Timely delivery of documented and tested software to the platform software engineering team • Own deliverables from ideation to production operationalization • May telecommute

• Assist with software development using Python to design and build available, scalable, and secure back-end web services and APIs for a variety of legal and intellectual property stakeholders, including software for platforms such as YouTube, TikTok, and Facebook • Assist in the management and troubleshooting of production systems and refactoring of existing applications to improve business processes • Implement systems designs and software design patterns to write maintainable, testable, and robust software and services • Integrate with third-party APIs, including designing, implementing, and troubleshooting API connections to ensure seamless interoperability between systems • Manage and troubleshoot distributed systems and services in a production environment

• Define and drive the performance engineering strategy for cloud-native applications hosted on Google Cloud Platform (GCP) • Serve as the subject matter expert for application performance, scalability, and observability across distributed systems • Analyze and optimize application performance across microservices, APIs, databases, and high-volume transaction workflows • Identify and resolve performance bottlenecks impacting user experience, including patient data retrieval, historical data loading, and real-time clinical workflows • Design, execute, and oversee performance, load, stress, endurance, and scalability testing using industry-leading tools • Leverage statistical analysis and performance metrics to identify trends, forecast system behavior, and provide actionable recommendations • Collaborate with software engineering, architecture, DevOps, Site Reliability Engineering (SRE), database, and infrastructure teams to implement performance improvements • Lead and mentor a team of 4–5 Performance Engineers, establishing best practices, technical standards, and continuous improvement initiatives • Drive performance testing automation and integration within CI/CD pipelines • Present performance assessments, risks, capacity planning recommendations, and optimization strategies to technical leadership and executive stakeholders • Champion a performance-first engineering culture throughout the software development lifecycle

• Desarrollar y mantener aplicaciones Full Stack utilizando tecnologías frontend y backend. • Diseñar, desarrollar e integrar APIs REST y microservicios. • Participar en el desarrollo y despliegue de aplicaciones sobre Microsoft Azure. • Colaborar con equipos multidisciplinarios bajo metodologías ágiles. • Implementar buenas prácticas de desarrollo, control de versiones y procesos CI/CD. • Participar en el análisis técnico y proponer soluciones alineadas con las necesidades del negocio. • Contribuir a la mejora continua de la arquitectura y calidad del software.