Software Engineer - Limited Tenure

Mayo Clinic Health System•Rochester, MN

41d•Remote

About The Position

Mayo Clinic 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. This is a full time, limited tenure, remote position funded for 3 years. Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.

Requirements

Bachelor's Degree in Computer Science/Engineering or related field; Or an Associates' 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 yr. of experience, or 2yrs 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

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).
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.

Responsibilities

design, develop, and maintain robust .NET-based back-end services supporting a broad portfolio of genomics and clinical applications
build and optimize services that handle complex genomic workflows, large-scale clinical datasets, and high-throughput data processing
designing and implementing services aligned to enterprise architecture, including cloud-ready APIs, data integration pipelines, and secure interoperability layers for genomic systems
participate 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, and participating in expert-level troubleshooting through log analysis, root cause evaluation, and data/system investigation