Senior Software Engineer - Hybrid

Mayo Clinic•Rochester, MN

9h•$141,024 - $204,526•Hybrid

About The Position

Mayo Clinic is recruiting a Senior Software Engineer responsible for designing, developing, and maintaining robust Java-based back-end solutions and 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, 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.

Requirements

Robust Java-based back-end solutions development.
JavaScript-based front-end components development.
Experience with on-premises and modern cloud infrastructures (Azure and Google Cloud Platform).
Experience interfacing with distributed services via secure APIs and web services.
Experience developing and optimizing services for complex laboratory workflows, large-scale clinical datasets, and high-throughput data processing.
Experience ensuring services adhere to performance, reliability, and accuracy standards.
Experience with Agile and DevOps methodologies.
Proficiency with tools such as GitHub, Azure DevOps (ADO), Azure Pipelines, and CI/CD frameworks.
Experience with deployment automation and configuration management using platforms like Terraform and Azure Pipelines.
Experience with contemporary Java technologies.
Experience with modern JavaScript frameworks.
Experience with cloud-native architectures.
Experience with API-first design principles.
Experience with secure coding best practices.
Effective communication skills.
Ability to expand understanding of laboratory workflows, institutional procedures, and customer requirements.
Ability to perform technical assignments with moderate supervision and increasing independence.
Experience mentoring and providing guidance to team members.
Willingness to participate in on-call rotations.

Responsibilities

Designing, developing, and maintaining robust Java-based back-end solutions and JavaScript-based front-end components.
Developing and optimizing services that facilitate complex laboratory workflows, manage large-scale clinical datasets, and support high-throughput data processing.
Ensuring all services adhere to stringent performance, reliability, and accuracy standards, scale effectively with growing data volumes, and maintain resilience across hybrid cloud environments.
Collaborating with Product Owners, Product Managers, Architects, and cross-functional engineering teams to translate requirements into well-architected, maintainable code.
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.
Actively participating in Agile and DevOps methodologies.
Utilizing tools such as GitHub, Azure DevOps (ADO), Azure Pipelines, and CI/CD frameworks.
Supporting deployment automation and configuration management using platforms like Terraform and Azure Pipelines.
Maintaining thorough technical documentation.
Contributing to peer code reviews.
Engaging in advanced troubleshooting through log analysis, root cause assessments, and system/data investigations.
Communicating effectively with colleagues, leadership, and clinical stakeholders.
Expanding understanding of laboratory workflows, institutional procedures, and customer requirements.
Performing a spectrum of technical assignments with moderate supervision and increasing independence.
Mentoring and providing guidance to team members.
Participating in on-call rotations to ensure continuous support coverage, effective communication, and prompt resolution of critical incidents.