Principal Software Engineer

About the role

We are seeking an accomplished Principal Software Engineer to join our team. This role is responsible for driving the design, scalability, and evolution of mission-critical systems that support genetic testing workflows, clinical reporting, and data-driven insights.

Responsibilities

• Lead the architecture, design, and development of complex software systems and platforms
• Define and champion engineering standards, best practices, and long-term technical roadmaps
• Collaborate with cross-functional teams to translate business needs into scalable, secure, and maintainable solutions
• Conduct deep technical reviews, guide system design discussions, and ensure architectural consistency across teams
• Mentor and coach engineers, fostering a culture of technical excellence and continuous learning
• Drive root-cause analysis and resolution of complex technical issues, ensuring system reliability and data integrity
• Evaluate emerging technologies and guide strategic adoption where appropriate
• Partner with product, laboratory, and bioinformatics teams to optimize workflows and enhance operational efficiency
• Ensure compliance with security, privacy, and regulatory requirements across all software systems
• Contribute to innovation initiatives that advance Baylor Genetics’ digital capabilities and competitive advantage

Qualifications

• B.S. in Computer Science or related field required, 10+ years of professional software engineering experience, including significant experience in large-scale or complex systems
• Expert-level proficiency with C# and .NET (e.g., .NET Core / .NET 6+)
• Extensive experience architecting and building React + TypeScript applications
• Deep expertise with relational databases such as MS SQL Server, PostgreSQL, or MySQL, including schema design, performance tuning, and data modeling
• Prominent experience designing, implementing, and governing RESTful APIs and distributed systems
• Demonstrated experience leading technical initiatives, mentoring engineers, and influencing cross-functional decision-making
• Strong background in software architecture, system design, and engineering best practices
• Proven experience in healthcare, clinical diagnostics, genomics, or NGS environments
• Familiarity with laboratory workflows, LIMS systems, or clinical reporting platforms
• Experience working in regulated environments (CLIA, CAP, HIPAA)
• Background in designing secure, compliant, and audit-ready systems
• Experience with high-performance or data-intensive applications, including optimization and scalability strategies