Principal Software Engineer
| Company | SmithRx |
|---|---|
| Location | Washington, USA, Kansas, USA, Pennsylvania, USA, California, USA, Texas, USA, Florida, USA, Nevada, USA, Georgia, USA, Arizona, USA, Tennessee, USA, Virginia, USA, Arkansas, USA, Minnesota, USA, Colorado, USA, Utah, USA, Wisconsin, USA, Missouri, USA, Ohio, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Expert or higher |
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.
Responsibilities
- 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 that supports maintainability independent of your expertise.
- Drive overall testing strategies for systems requiring high reliability or quality, including creating validation frameworks or systems.
- Design platforms with long-term maintainability and embedded ML components, ensuring anomaly detection and NLP features were both scalable and production-ready.
- Collaborate with machine learning engineers to design, validate, and deploy ML-based anomaly detection systems, ensuring performance met system SLAs.
- Employ 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 that have sweeping 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 driving meaningful business impact.
- Partner with senior leadership to define a long-term vision for engineering teams that aligns 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.
Preferred Qualifications
- 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.