Principal Software Engineer AI Powered Tax

Principal Software Engineer for AI Powered Tax Overview

The Principal Engineer (Full Stack) serves as a paramount technical leader, dedicated to driving velocity in the organization by accelerating customer, business, and technology outcomes. This role requires executing with a boundaryless mindset, leading significant technology initiatives end-to-end, and focusing particularly on horizontal layers of the architecture. You will be essential in designing and implementing durable, robust, scalable, and secure software solutions for mission‑critical systems in a fast‑paced environment.

We seek an engineer who is passionate for continuous learning, experimenting, and applying cutting‑edge technology and software paradigms to solve complex customer problems.

• Drive design and implementation of durable, scalable software solutions, ensuring high availability and optimal performance of applications.
• Drive target state architecture for company‑wide capabilities, collaborating actively with technical leaders across the organization.
• Demonstrate deep expertise across the software lifecycle, acting as a role model in full cycle engineering—encompassing design, implementation, and operationalization.
• Continuously evolve development practices and operational maturity through structured root cause analysis and monitoring.
• Drive significant technology initiatives end‑to‑end and provide perspective on leading industry trends, recommending new and emerging technologies, technology prototypes, and engineering process improvements.
• Pursue and resolve complex or unchartered technical problems, sharing key learnings to improve organizational knowledge.
• Be able to make data‑backed decisions and drive the right level of instrumentation and experimentation to support technical choices.
• Understand customer behaviors and partner with cross‑functional teams to drive end‑to‑end solutions for customer problems.
• Leverage full‑stack development experience with AI technologies/tools, applying them to enhance user experiences or backend solutions.
• Guide the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
• Drive the technical implementation to develop componentized/widgetized experiences using modern web frameworks (like React) and microservices built with Java on Kubernetes within the public cloud.
• Possess a high‑level understanding of how AI models work, the different types of AI models that exist, and their pros and cons, and apply the latest tools and technologies in this space.
• Drive velocity in a highly matrixed environment, partnering effectively with numerous stakeholders.
• Collaborate actively with other groups for cross‑functional design, solution integration, and on‑boarding of offerings (mobile/SaaS/PaaS/web).
• Work closely with cross‑functional partners from Architecture, Product Management, Quality Assurance, and Production Operations to develop, test, and release features efficiently.
• Serve as a technical leader and role model to other engineers, offering strong mentoring skills and inspiring a high technical bar for the team.
• Influence and communicate effectively with both technical and non‑technical people, possessing excellent communication skills to speak clearly, succinctly, and persuasively to all levels of employees and management (including executives).
• Demonstrate a "self‑starter" attitude and the ability to make decisions independently, exhibiting high adaptability and flexibility in a fast‑paced, complex technical environment.
• Contribute to the engineering community by defining standards, patterns, and best practices.
• Experience driving for results and achieving alignment across cross‑functional and global teams across time zones.

• Required Experience and Education
• 8+ years of experience developing systems/software for large business environments.
• 5+ years of experience designing complex distributed systems, management products, or business applications.
• Prior experience working in teams that have built AI native applications for 1+ years is required.
• BS/MS in Computer Science or a related area.
• Multiple years of experience…