SmithRx is a rapidly growing, venture-backed Health-Tech company focused on disrupting the Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform. The company emphasizes cutting edge technology, innovative cost-saving tools, and best-in-class customer service, serving hundreds of thousands of members nationwide. We value mission-driven, collaborative culture and are guided by our company values of integrity, courage, together.

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. You will influence the technical strategy across teams and work closely with senior leadership in engineering, product, and design to align technical direction with company goals. Your work will unlock new business opportunities through innovative technical capabilities and ensure the long-term health and quality of our systems.

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, set standards for engineering excellence, and lead the delivery of high-quality, scalable, and impactful solutions.

• Define and align technical strategies for multi-year, multi-team initiatives with broader company goals.
• Own technology decisions for large-scale architectures, including frameworks and build-versus-buy choices for key components.
• Design systems with high reliability, scalability, and long-term maintainability, incorporating staged validation plans where necessary.
• Ensure engineering quality through regular health reviews, curated testing strategies, and technical documentation supporting maintainability.
• Drive overall testing strategies for high-reliability systems, including creating validation frameworks or systems.
• Design platforms with long-term maintainability and Embedded ML components, ensuring anomaly detection and NLP features are scalable and production-ready.
• Collaborate with machine learning engineers to design, validate, and deploy ML-based anomaly detection systems, ensuring performance meets system SLAs.
• Apply a systems-level mindset to integrate ML in production environments.

• Partner with Directors, product managers, and design leadership to ensure alignment on technical strategy and business objectives.
• Collaborate with stakeholders to identify and deliver new business opportunities enabled by technical capabilities.
• Influence product decisions, scope, and technical trade-offs to prioritize customer value without compromising quality.

• Drive technical choices with broad implications across the engineering organization, rallying teams around clear rationales and technical visions.
• Proactively identify and refocus engineering efforts when projects are off-course or not delivering meaningful business impact.
• Partner with senior leadership to define a long-term vision for engineering teams aligned with business and market opportunities.

• Serve as a mentor and technical guide for engineers at all levels, fostering a culture of learning and growth.
• Champion engineering excellence by setting high standards for system design, coding, testing, and operational practices.

• BS or advanced degree in computer science or applicable experience.
• 15 years required, or 12+ years with an advanced degree, 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 selecting frameworks/tools for diverse use cases.
• Proven ability to design systems addressing ambiguous or novel challenges, using research and validation plans to guide execution.
• Experience driving 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 use cases.
• Experience developing and deploying anomaly detection algorithms.
• Exceptional problem-solving and decision-making skills, especially in ambiguous situations.
• Strong communication skills to rally teams and build cross-organizational alignment.
• Track record of identifying opportunities to meet customer needs through technical capabilities and driving meaningful results.

• Competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D
• Flexible Spending Benefits
• 401(k) Retirement Savings Program
• Short-term and long-term disability
• Discretionary Paid Time Off
• 12 Paid Company Holidays
• Wellness Benefits
• Commuter Benefits
• Paid Parental Leave benefits
• Employee Assistance Program (EAP)
• Well-stocked kitchen in office locations
• Professional development and training opportunities