Software Engineer - .NET Full Stack Developer

Mayo Clinic • Rochester, MN

1d

About The Position

Mayo Clinic Genomics and Emerging Systems Unit is seeking a Software Engineer to design, develop, and maintain 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 Software Engineer will 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 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. During the selection process you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview, a question will appear on your screen, and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question - Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps. This vacancy is not eligible for sponsorship/we will not sponsor or transfer visas for this position. Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Requirements

• Bachelor's degree in computer science/engineering or related field; Or an associate’s degree in computer science/engineering or related field with an additional 2 years of experience as described below.
• Have working knowledge and experience of Software Engineering with a minimum of internships and a minimum of 1 year of experience, or 2 years of experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.).
• Demonstrated problem solving and time management skills.
• Possesses strong technical aptitude for designing and implementing software solutions.
• 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.
• Deep hands-on technical expertise, excellent verbal and written communication skills.
• Experience with Agile software development techniques.

Nice To Haves

• Experience developing applications in hybrid environments, including on-premises systems, Azure, and Google Cloud Platform (GCP).
• 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.
• Experience supporting or developing solutions in healthcare, clinical, Bioinformatics or genomics-focused applications is highly desirable.
• Ability to use a wide variety of open-source technologies and cloud-based services.
• Experience with Google and Azure cloud environments.
• Experience in databases, analytics, big data systems or business intelligence products.
• Experience with building high-performance, highly available and scalable distributed systems.
• Experience developing software for healthcare related industries.
• Experience developing applications in hybrid environments, including on-premises systems, Azure, and Google Cloud Platform (GCP).

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
• maintaining comprehensive technical documentation
• contributing to code reviews
• participating in expert-level troubleshooting through log analysis, root cause evaluation, and data/system investigation
• effective communication with peers, leaders, and clinical partners across the organization
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees