• Design, develop, and implement large-scale distributed systems to handle substantial data volumes, ensuring scalability, low latency, and fault tolerance • Architect and implement APIs and event-driven solutions to meet system requirements and enhance functionality • Diagnose and resolve complex production issues across services and the technology stack, delivering both code and data fixes • Create and execute comprehensive unit tests, API tests, regression tests, and performance tests to ensure the reliability and efficiency of the system • Work closely with cross-functional teams to promptly address and resolve production incidents, ensuring minimal downtime and swift recovery

• Design, build, and own scalable backend services and APIs that handle complex healthcare data and workflows • Optimize database queries and data models to ensure system performance and reliability at scale • Evaluate and articulate technical tradeoffs across system design, performance, and maintainability • Integrate AI tools and agentic coding patterns into backend workflows where they add real value • Write clean, well-tested, production-grade code with a high bar for quality • Partner with product, data, and cross-functional stakeholders to translate requirements into robust technical solutions • Contribute to engineering standards through code reviews, technical discussion, and better defaults

• Analyze, design, develop and implement solutions using Java 8+ and modern frameworks. • Perform evolutionary and corrective maintenance on legacy systems and new products. • Ensure code quality through unit tests, code reviews and continuous integration. • Develop and consume REST and SOAP APIs, and integrate systems with external platforms. • Collaborate with business analysts, QA and other technical teams in an agile environment (Scrum/Kanban). • Support technical decision-making and propose performance, security and architectural improvements. • Contribute to the dissemination of development best practices within the team.

• Colaborar en un proyecto temporal en modalidad full-remote.