[Remote] Software Engineer - .NET Full Stack Developer

Note: The job is a remote job and is open to candidates in USA. Mayo Clinic Healthcare is seeking a Software Engineer to design, develop, and maintain robust .NET-based back-end services for genomic and clinical applications. The role involves collaborating with various teams to implement services that meet strict performance and reliability standards while leveraging modern technologies and cloud platforms.

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
• Ensure that all services meet strict performance, reliability, and accuracy requirements
• Scale effectively as data volumes grow, and remain resilient within hybrid cloud ecosystems
• Collaborate closely with Product Owners, Product Managers, Architects, and cross-functional engineering partners to translate requirements into well-architected, maintainable code
• 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
• 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
• Maintain comprehensive technical documentation
• Contribute to code reviews
• Participate in expert-level troubleshooting through log analysis, root cause evaluation, and data/system investigation
• Communicate effectively with peers, leaders, and clinical partners across the organization
• Build knowledge of genomics workflows, organizational processes, and customer needs while performing a range of technical assignments with moderate guidance and increasing autonomy

Skills

• 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
• 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

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