Sr Software Engineer

Baylor Genetics is a clinical genetic testing laboratory that offers a wide range of genetic testing services. They are seeking an accomplished Sr Software Engineer to serve as a technical leader and architect across their software ecosystem, responsible for driving the design, scalability, and evolution of mission-critical systems that support genetic testing workflows and clinical reporting.

Responsibilities:

• Design, develop, and maintain software applications
• Collaborate with cross-functional teams to define software requirements, specifications, and architecture
• Document system architecture, processes, and workflows to ensure maintainability and traceability
• Troubleshoot and resolve software defects to ensure system reliability and data accuracy
• Contribute to continuous improvement initiatives and technical innovation
• Adhere to the company’s Code of Conduct and all applicable compliance, security, and regulatory requirements
• Perform other duties as assigned to support team and organizational objectives
• Comply with all company policies, procedures, and applicable regulatory requirements

Requirements:

• S. or equivalent degree in Computer Science or related field
• 5+ years of professional software development experience
• Strong experience with C# and .NET (e.g., .NET Core / .NET 6+)
• Solid experience building frontend applications with React and TypeScript
• Strong experience with MS SQL Server or equivalent relational database systems (e.g. PostgresSQL, MySQL), including schema design and query optimization
• Experience designing and consuming RESTful APIs
• Strong understanding of software architecture, design patterns, and best practices
• Experience with version control systems (e.g., Git)
• Strong problem-solving skills and ability to work independently
• Equivalent combination of education and experience may be considered
• Experience in healthcare, clinical diagnostics, or genomics/NGS environments
• Familiarity with laboratory workflows or clinical reporting systems
• Experience working in regulated environments (e.g., CLIA, CAP, HIPAA)
• Knowledge of CI/CD pipelines and DevOps practices
• Experience improving performance in data-intensive applications