Principal Software Engineer

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• Talk to an Expert, Our Research & Development (R&D) team is the technical talent at the heart of our product suite, overseeing the product development lifecycle from concept to delivery. From engineering to quality assurance to data science, the R&D team ensures our customers seamlessly use our products and can depend on their consistency.

As a Principal Software Engineer/Architect, you will shape our software systems and pursue the most demanding and impactful software development tasks. Your unmatched expertise will fuel the development of robust, efficient, and top-tier software solutions. At the cutting edge of technology, you’ll apply systematic and disciplined approaches to every stage of the software lifecycle: from design and development to rigorous testing and evaluation. You will leverage generative AI, agentic AI, and other AIenabled tools and intelligent automation to enhance development efficiency, improve code quality, and support scalable, forward-looking system design. Your unwavering commitment to quality and your problem-solving prowess will serve as the guiding stars in your role. Responsibilities Description

The Software Engineering team is a group of full stack developers who design, develop, and maintain our products, tools, and infrastructure.

Your day-to-day job will consist of:

• Serve as a highly skilled software engineer addressing the most complex and pressing software development needs across a multi-product portfolio, contributing to the planning, scoping, estimation, and execution of technical solutions, including the effective use of AIassisted development and delivery tools.
• Work closely with product managers, designers, fellow engineers, and engineering leaders to enhance software applications and create new ones, leveraging AI insights to inform design choices and technical tradeoffs where appropriate.
• Uses AI to make transformative and highly impactful change, demonstrates an exceptional ability to make sound, critical architectural decisions for the team and optimizing code for performance, scalability, and reliability, including the evaluation of AIdriven approaches and automation.
• Independently write clean, maintainable code using programming languages such as TypeScript, Java, C#, Python, or other relevant tech stacks while utilizing AI enabled tools to improve development speed, accuracy, and consistency.
• Engage in code reviews, identifying and resolving bugs, and fine-tuning existing systems, including the use of AI-powered analysis and testing techniques.
• Contribute across all phases of the software development lifecycle (SDLC), from initial design to deployment, incorporating AI where it enhances quality, efficiency, or maintainability.
• Assist in testing and quality assurance, ensuring software reliability and optimal performance through both traditional and AI augmented testing methodologies.
• Innovate by exploring emerging technologies, including AI and machine learning capabilities, and proposing creative solutions to technical challenges.
• Guide and mentor engineers, sharing best practices for high-quality software development and the responsible, effective use of AI tooling. *

• Minimum of 15+ years of relevant and related work experience.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent, or equivalent years of relevant work experience.
• Travel occasionally, up to 5-10%, for key moments such as team summits, training, conferences, etc., with increased frequency during peak periods based on business demands.
• This position is subject to company on call policies which constitutes working hours outside of the normal workday as needed.
• Additional experience may be substitute for an advanced Degree.
• Experience as the primary engineer responsible for large and complex coding projects as well as for system design and code integrity of large enterprise codebases while having demonstrated success with codebase modernization and decomposition.
• Experience using AIassisted development tools (e.g., for coding, testing, debugging, or documentation) to improve productivity and code quality.
• Ability to evaluate, apply, and govern AI solutions responsibly, with consideration for security, performance, and maintainability.
• Ability to work with current software design principles, including patterns, algorithms, data structures.
• SQL and database experience.
• Familiarity with OWASP threats and mitigation techniques.
• Strong analytical and problem-solving skills, along with effective written and verbal communication.
• Capability to manage a heavy workload, handle frequent interruptions, and work with minimal oversight.
• Adaptability to a changing, dynamic environment.
• A passion for mentoring and guiding junior engineers. *

Preferred Qualifications

• Familiarity with Kanban methodologies and relevant tools.
• Understanding of the Education Technology industry

Compensation & Benefits