Mayo Clinic Genomics and Emerging Systems Unit is recruiting a Senior Software Engineer responsible for designing, developing, and maintaining robust Java-based back-end solutions and TypeScript/JavaScript-based front-end components supporting a comprehensive portfolio of Laboratory Medicine and clinical applications. These platforms operate within both on-premises and modern cloud infrastructures—including Azure and Google Cloud Platform and interface with distributed services via secure APIs and web services. The Senior Software Engineer will develop and optimize services that facilitate complex laboratory workflows, manage large-scale clinical datasets, and support high-throughput data processing. Key responsibilities include ensuring all services adhere to stringent performance, reliability, and accuracy standards, scale effectively with growing data volumes, and maintain resilience across hybrid cloud environments. This role requires close collaboration with Product Owners, Product Managers, Architects, Lab Personnel, and cross-functional engineering teams to translate requirements into well-architected, maintainable code. Core duties encompass designing and implementing services aligned with enterprise architecture standards, such as cloud-ready APIs, data integration pipelines, and secure interoperability layers tailored for laboratory systems. Active participation in Agile and DevOps methodologies is expected, utilizing tools such as GitHub, Azure DevOps (ADO), Azure Pipelines, and CI/CD frameworks. Responsibilities may also extend to deployment automation and configuration management using platforms like Terraform and Azure Pipelines, supporting both on-premises and cloud-hosted applications. Development processes leverage contemporary Java technologies, modern JavaScript frameworks, cloud-native architectures, API-first design principles, and secure coding best practices. The position also involves maintaining thorough technical documentation, contributing to peer code reviews, and engaging in advanced troubleshooting through log analysis, root cause assessments, and system/data investigations. Effective communication with colleagues, leadership, and clinical stakeholders throughout the organization is essential. The Senior Software Engineer is expected to expand their understanding of laboratory workflows, institutional procedures, and customer requirements while performing a spectrum of technical assignments with moderate supervision and increasing independence. Additionally, this role includes mentoring and providing guidance to team members. Participation in on-call rotations is also required to ensure continuous support coverage, effective communication, and prompt resolution of critical incidents. Designs and builds back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks. Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase. They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients.