Principal Software Engineer

Baylor Genetics•,

3d•Remote

About The Position

Baylor Genetics is seeking a Principal Software Engineer to lead the architecture, design, and development of complex software systems and platforms. The role defines engineering standards, best practices, and long-term technical roadmaps, and partners with cross-functional teams to turn business needs into scalable, secure, and maintainable solutions. The engineer conducts technical reviews and system design discussions, promotes architectural consistency, mentors and coaches engineers, and drives root-cause analysis of complex technical issues to support system reliability and data integrity. The role also evaluates emerging technologies, partners with product, laboratory, and bioinformatics teams to improve workflows and operational efficiency, and ensures software systems meet security, privacy, and regulatory requirements. The position contributes to initiatives that advance Baylor Genetics’ digital capabilities and performs other duties as assigned while complying with company policies and applicable regulatory requirements. The position is remote. Baylor Genetics is an equal opportunity employer and welcomes applicants from all backgrounds.

Requirements

B.S. in Computer Science or a related field.
10 or more years of professional software engineering experience, including significant experience with large-scale or complex systems.
Expert-level proficiency with C# and .NET, such as .NET Core or .NET 6+.
Extensive experience architecting and building React and TypeScript applications.
Deep expertise with relational databases such as MS SQL Server, PostgreSQL, or MySQL, including schema design, performance tuning, and data modeling.
Proven experience designing, implementing, and governing RESTful APIs and distributed systems.
Strong background in software architecture, system design, and engineering best practices.
Demonstrated experience leading technical initiatives, mentoring engineers, and influencing cross-functional decision-making.
Strong understanding of DevOps principles, CI/CD pipelines, and cloud-native architectures.
Excellent analytical and problem-solving skills, including the ability to navigate ambiguity and complexity.
Equivalent combinations of education and experience may be considered.

Nice To Haves

M.S. or higher in Computer Science or a related field.
Experience in healthcare, clinical diagnostics, genomics, or NGS environments.
Familiarity with laboratory workflows, LIMS systems, or clinical reporting platforms.
Experience working in regulated environments such as CLIA, CAP, or HIPAA.
Background designing secure, compliant, and audit-ready systems.
Experience with high-performance or data-intensive applications, including optimization and scalability strategies.

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 technical reviews, guide system design discussions, and ensure architectural consistency across teams.
Mentor and coach engineers, fostering technical excellence and continuous learning.
Drive root-cause analysis and resolution of complex technical issues to ensure 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 software systems.
Contribute to innovation initiatives that advance Baylor Genetics’ digital capabilities and competitive advantage.
Perform other duties as assigned to support team and organizational objectives.
Comply with company policies, procedures, and applicable regulatory requirements.