Senior Full Stack Engineer--SmartCenter Modules (Remote)

Join a working team that is dedicated to the mission of the work we do!

Teaching Strategies is an innovative edtech organization focused on connecting teachers, children, and families. As front runners in the early childhood education market, we build dynamic, top-quality digital products that integrate all of the essential elements of a high-quality solution: curriculum, assessment, professional development, and family engagement. We are building a team of results-oriented individuals who will thrive in a collaborative, work-hard/play-hard culture. We pride ourselves on the impact we have on the early childhood field through supporting teachers who are doing the most important work there is, teaching children to become creative, confident thinkers.

Position Overview
Teaching Strategies is looking for a Senior Full Stack Engineer to help build and evolve the systems that child care centers rely on to run their businesses. This engineer will work across our Python backend and web application surfaces and take responsibility for a variety of SmartCenter modules and cross-cutting platform capabilities that help centers operate efficiently and support teachers, administrators, and families.

In this role, you will take ownership of meaningful product and service work from discovery through delivery. You will translate product ideas and operational needs into clear technical plans, make pragmatic engineering decisions around architecture and technical debt, and collaborate closely with product managers, designers, QA, support, and other engineers.

The ideal candidate is a senior engineer with strong Python backend experience, practical frontend/web experience, and the judgment to work effectively in a mature production system. You should be comfortable improving existing systems, building new capabilities within established patterns, and balancing short-term delivery with long-term product and platform health.

This role is expected to use AI-assisted development practices where they improve quality, speed, and clarity, including CLI-based prompt and guided AI workflows as well as fully agentic development flows where appropriate. You will also help the team evolve practical, responsible patterns for AI use in partnership with other engineers.