Senior Full-Stack Engineer - Childcare Billing & Center Ops

Defense Mechanics Inc

Denton (TX)

Remote

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive pay
Equity program
Health insurance
401k plan
Flexible work
Unlimited PTO
Parental leave
Professional development
Modern equipment

Job summary

Teaching Strategies is seeking a Senior Full Stack Engineer to help build and evolve back-office systems used by child care centers. You will focus on Python backend and frontend work, with emphasis on family billing, invoices, and reporting, in a mature production environment.

Join a team that values pragmatic engineering, collaboration with product, design, QA, and support, and the responsible use of AI to improve quality, speed, and clarity across the delivery lifecycle.

Qualifications

  • 5-15+ years of professional software engineering experience with senior-level contributions.
  • Strong Python backend development experience with API design and data validation.
  • Experience with web frontend technologies: JavaScript, HTML, CSS.

Responsibilities

  • Design, build, test, and maintain full stack family billing workflows.
  • Develop backend services, APIs, and business logic in Python.
  • Build and improve web application experiences using the frontend stack.
  • Make pragmatic decisions about technical debt and refactoring.
  • Collaborate with product, design, QA, and customer teams.
  • Apply AI-assisted development throughout the lifecycle.

Skills

Python backend
Frontend development
API design
Cloud platforms
AI-assisted development
Security awareness
Code review
Testing & debugging
Team collaboration
CI/CD

Tools

Flask
Google Cloud Platform
App Engine
SQL/NoSQL

Job description

Teaching Strategies is seeking a Senior Full Stack Engineer to help build and evolve back-office systems used by child care centers. You will focus on Python backend and frontend work, with emphasis on family billing, invoices, and reporting, in a mature production environment.

Join a team that values pragmatic engineering, collaboration with product, design, QA, and support, and the responsible use of AI to improve quality, speed, and clarity across the delivery lifecycle.

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