Associate Software Engineer

Mayo Clinic•Rochester, MN

About The Position

Mayo Clinic Genomics and Emerging Systems Unit is seeking an Associate Software Engineer to aid in the design, development, and maintenance of robust .NET-based back-end services supporting a broad portfolio of genomics and clinical applications. These systems operate across on-premises environments and modern cloud platforms, including Azure and Google Cloud Platform (GCP), and integrate with distributed services through secure APIs and web services. The Associate Software Engineer will work under the guidance of more senior developers to build and optimize services that handle complex genomic workflows, large-scale clinical datasets, and high-throughput data processing. This includes ensuring that all services meet strict performance, reliability, and accuracy requirements, scale effectively as data volumes grow, and remain resilient within hybrid cloud ecosystems. The role collaborates closely with Senior Developers, Product Owners, Product Managers, Architects, and cross-functional engineering partners to translate requirements into well-architected, maintainable code. Responsibilities include designing and implementing services aligned to enterprise architecture, including cloud-ready APIs, data integration pipelines, and secure interoperability layers for genomic systems. The engineer participates in Agile and DevOps practices using GitHub, Azure DevOps (ADO), Azure Pipelines, and CI/CD frameworks. Work may include deployment automation and configuration management using tools such as ARM/Bicep, Terraform, Cloud Build, or Azure Pipelines, supporting both on-prem and cloud-hosted applications. Development efforts leverage modern .NET technologies, cloud-native patterns, API-first design, and secure coding practices. Responsibilities also include maintaining comprehensive technical documentation, contributing to code reviews, and participating in expert-level troubleshooting through log analysis, root cause evaluation, and data/system investigation. This position requires effective communication with peers, leaders, and clinical partners across the organization. The engineer will continue to build knowledge of genomics workflows, organizational processes, and customer needs while performing a range of technical assignments with moderate guidance and increasing autonomy. The role includes providing 24/7 on-call support.

Requirements

Bachelor's degree in Computer Science/Engineering or related field; Or an Associate’s degree in Computer Science/Engineering or related field with 1 year of related experience; Or a high school diploma plus 4 years of experience.
Completion of a Mayo internship may fulfill the requirement for 1 year of experience.
Will consider a bachelor's degree in an unrelated field if accompanied by professional retraining certification.
Strong technical aptitude for designing and implementing software solutions.
Working knowledge and experience of Software Engineering coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.).
Demonstrated problem solving and time management skills.
Experience with modern application development frameworks.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Hands-on technical expertise.
Excellent verbal and written communication skills.
Experience with Agile software development techniques.

Nice To Haves

Ability to use a wide variety of open-source technologies and cloud-based services.
Experience developing applications in hybrid environments, including on-premises systems, Azure, and Google Cloud Platform (GCP).
Experience in databases, analytics, big data systems or business intelligence products.
Experience developing software for healthcare related industries.
Familiarity with building and integrating RESTful APIs, microservices, and web services using .NET technologies.
Knowledge of DevOps pipelines and CI/CD using Azure DevOps, GitHub Actions, or Azure Pipelines.
Utilization of AI coding tool such as GitHub CoPilot, Gemini, Claude.
Experience with relational and NoSQL databases, analytics platforms, big-data processing, or enterprise data pipelines.
Background in developing high-performance, scalable, and highly available distributed systems.

Responsibilities

Designing and implementing services aligned to enterprise architecture, including cloud-ready APIs, data integration pipelines, and secure interoperability layers for genomic systems.
Participating in Agile and DevOps practices using GitHub, Azure DevOps (ADO), Azure Pipelines, and CI/CD frameworks.
Deployment automation and configuration management using tools such as ARM/Bicep, Terraform, Cloud Build, or Azure Pipelines, supporting both on-prem and cloud-hosted applications.
Leveraging modern .NET technologies, cloud-native patterns, API-first design, and secure coding practices.
Maintaining comprehensive technical documentation.
Contributing to code reviews.
Participating in expert-level troubleshooting through log analysis, root cause evaluation, and data/system investigation.
Communicating effectively with peers, leaders, and clinical partners across the organization.
Building knowledge of genomics workflows, organizational processes, and customer needs.
Performing a range of technical assignments with moderate guidance and increasing autonomy.
Providing 24/7 on-call support.