Senior Software Engineer

FranklinCovey is a leading leadership company that has evolved into a premier edtech leader, focusing on scalable, tech-driven learning solutions. As a Senior Software Engineer, you will improve software design and development practices, mentor junior engineers, and leverage AI to enhance engineering processes.

Responsibilities:

• You will ship regularly and iteratively, writing testable, readable, and maintainable code
• Develop a deep understanding of how data flows through complex systems and work with intricate data models
• Use AI-assisted development tools responsibly to improve velocity while maintaining code quality
• Design and implement solutions considering scale, security, performance, and privacy
• Guide other engineers on best practices for safely and effectively integrating AI into their development workflows
• Help junior engineers develop the technical skills needed to become tomorrow’s senior engineers
• Propose and help implement improvements to our engineering processes, including (but not limited to) how to adapt as AI continues to advance
• Participate in and lead code reviews, share learnings through presentations or documentation, and mentor others
• Engineers participate early in the product development process. You will review quantitative and qualitative research about our clients and learners and weigh in on the product strategy and roadmap
• Collaborate with fellow Engineering Team Members in Design and Operational Reviews to guide technical decision-making and identify performance issues
• Partner closely with Product to provide multiple viable technical paths for new features and improvements
• Embrace our writing-focused culture: much of our collaboration, planning, and ideation happens in written form

Requirements:

• 7+ years of experience as a Software Engineer
• Experience coding in a production Python/Django environment
• Experience with React and TypeScript
• Experience writing SQL queries and designing relational data models
• Experience using agentic development workflows
• Ability to articulate where AI workflows create leverage for a small team and where they create liability
• Exposure to infrastructure-as-code tools like Terraform
• Experience with tiered web application architecture, including backend services, APIs, and frontend integration
• Experience creating performance monitors and dashboards using observability tools such as Datadog
• Experience improving or refactoring complex systems in production without impacting customer experience—especially under conditions involving tight synchronization, legacy code, or data consistency challenges
• Excellent written communication skills, as much of our work and collaboration is driven through writing
• Passion for leadership development and empowering growth in individuals and teams