SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service.
We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values.
Job Summary: As a Principal Software Engineer at SmithRx, you will be a technical leader driving multi-year, multi-team initiatives that shape the future of our engineering organization and business.
This role requires exceptional leadership, technical depth, and strategic foresight to guide the design, execution, and evolution of complex systems. You will mentor and collaborate with engineers across the organization, set standards for engineering excellence, and lead the charge in delivering high-quality, scalable, and impactful solutions.
In order to be eligible for this position applicants must be based in one of the following states: Arizona, Arkansas, California, Colorado, Florida, Georgia, Kansas, Minnesota, Missouri, Nevada, New Jersey, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin.
What you will do: Technical Leadership; Cross-Functional Collaboration; Organizational Impact; Mentorship and Advocacy
Requirements
BS or advanced degree in computer science or applicable experience.
15 years required, or 12+ years with an advanced degree of software engineering experience, including leading large-scale, complex systems or initiatives.
Expertise in system architecture, including design for scalability, reliability, and maintainability.
Proficiency in evaluating build-versus-buy decisions and choosing frameworks/tools for diverse use cases.
Proven ability to design systems that address ambiguous or novel challenges, using research and validation plans to guide execution.
Experience driving the overall health and quality of systems, including testing strategies and technical documentation.
Strong ability to influence and align technical and product strategies across teams and stakeholders.
Deep technical expertise in software design and architecture.
Experience with Machine Learning concepts and their application in software systems.
Familiarity with Natural Language Processing (NLP) techniques and their use cases.
Experience in developing and deploying anomaly detection algorithms.
Exceptional problem-solving and decision-making skills, especially in situations with no clear “right” answer.
Strong communication skills to rally teams, explain complex concepts, and build alignment across organizations.
A track record of identifying opportunities to meet customer needs through technical capabilities and driving meaningful results.