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Popular senior software title plus metro location, but regulated healthcare niche and specialized skills moderate competition.
Strong healthcare LIMS and regulated-SDLC expectations create high domain specificity, limiting cross-industry fit.
No explicit years but regulated-SDLC, healthcare domain experience, and specific tech preferences raise screening rigor moderately.
Own end-to-end delivery of complex features and fixes for GLIMS healthcare laboratory information system, ensuring quality, reliability, security, and maintainability across configurable customer environments.
Drive AI-first engineering practices throughout the software development lifecycle, identifying AI opportunities and using AI-assisted tools responsibly while maintaining compliance in a regulated healthcare context.
Lead technical direction for specific GLIMS subsystems or functional areas, including architectural decisions, cross-team alignment, and mentoring to raise engineering standards.
Bachelor’s or master’s degree in Computer Science/Engineering or equivalent experience.
Significant professional experience in software development in object-oriented environments including design, implementation, testing, and maintenance of production systems.
Experience with relational databases and enterprise application development, including performance diagnosis across application and database layers.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in regulated healthcare software development, familiar with quality-managed SDLC and related documentation, traceability, and validation processes.
Proficient with AI-assisted development tools like GitHub Copilot and skilled in applying AI responsibly within compliance and security constraints.
Technical leadership capability demonstrated by owning subsystem architecture, driving cross-functional collaboration, and mentoring engineers in complex software environments.