Senior Software Engineer – Remote, AI‑Driven Full‑Stack SaaS

TherapyNotes.com; Philadelphia (Philadelphia County); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Profit sharing

Open, collaborative work environment

2-week onboarding

Mentorship program

Development budget

Job summary

TherapyNotes LLC in the United States is seeking a Senior Software Developer to design, build, and evolve scalable SaaS applications. This full-stack role focuses on responsive UIs, APIs, data access, and secure services, collaborating with engineering, QA, product, UX, security, and compliance to translate needs into reliable solutions.

The ideal candidate combines strong engineering fundamentals with experience using AI-assisted tools and a commitment to continuous learning.

Qualifications

• Bachelor's or Master's in computer science or software engineering.
• Proven experience with full-stack development and modern frameworks.
• Experience with AI-assisted tooling and secure software development.

Responsibilities

• Design, develop, test, release, and maintain full-stack SaaS applications and services.
• Collaborate with engineers, QA, product, UX, security, and compliance teams.
• Guide architecture decisions to improve scalability, reliability, and security.
• Write well-tested code and review others; apply AI-assisted tooling responsibly.
• Mentor teammates and support onboarding and knowledge sharing.
• Identify new tools and practices to improve quality and delivery velocity.

Skills

C#

ASP.NET Core

Angular

TypeScript

JavaScript

HTML/CSS

Education

Bachelor's or Master's in CS/SE

Tools

Docker

Kubernetes

Entity Framework Core

PostgreSQL

SQL Server

Azure

Job description

TherapyNotes LLC in the United States is seeking a Senior Software Developer to design, build, and evolve scalable SaaS applications. This full-stack role focuses on responsive UIs, APIs, data access, and secure services, collaborating with engineering, QA, product, UX, security, and compliance to translate needs into reliable solutions.

The ideal candidate combines strong engineering fundamentals with experience using AI-assisted tools and a commitment to continuous learning.