Senior Software Engineer, Internal Platforms

Mosaic Pediatric Therapy•Charlotte, NC

About The Position

Mosaic Pediatric Therapy provides clinic-based and home-based ABA therapy for children with autism across North Carolina and Virginia. The company is growing its portfolio of internal software, including custom web applications, AI-assisted operational tools, agentic workflows, and integrations with an Azure-based Lakehouse. These systems support clinical operations, billing, credentialing, and analytics, and handle protected health information (PHI), where accuracy and compliance are essential. This is a senior, hands-on software engineering role responsible for designing, building, shipping, and maintaining internal applications and services, while establishing engineering standards. Approximately 70% of the work focuses on software development—including application architecture, end-to-end feature development, APIs and integrations, testing, code review, and production support—and approximately 30% covers data and platform work such as Azure Fabric Lakehouse pipelines, CI/CD, cloud infrastructure, and monitoring. Mosaic uses Azure, Fabric, SQL Server, and Microsoft 365, and values strong engineering fundamentals over any particular language or framework. The role works cross-functionally with the VP of Data Science, the Director of IT, and operational leaders. It also includes mentoring internal builders who use AI-assisted development tools, helping them create software that is safe, tested, and maintainable.

Requirements

At least 4 years of professional software development experience building and shipping production applications.
High proficiency in at least one modern programming language and ability to pick up others.
Strong software engineering fundamentals, including object-oriented or functional design, modular architecture, unit, integration, and end-to-end testing, debugging, and Git-based workflows.
Experience designing and building APIs, services, and web applications.
Track record of owning software end to end, from design through production support.
Experience with CI/CD pipelines and production deployment workflows.
Experience building on a major cloud platform; Azure preferred, with AWS or GCP also considered.
Solid SQL and relational database design skills.
Hands-on experience with AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or similar.
Understanding of secure coding practices and handling sensitive or regulated data.
Strong communication skills and ability to work directly with non-technical stakeholders.
Experience mentoring other developers or leading code review.

Nice To Haves

Experience in the Microsoft ecosystem, including Azure, .NET, SQL Server, Microsoft Fabric, Entra ID, or Power Platform.
Experience building ETL/ELT pipelines or working in Lakehouse or data warehouse environments.
Infrastructure-as-code experience with Bicep, Terraform, or ARM.
Experience building applications on top of LLMs or agentic frameworks.
Experience in healthcare, ABA, EHR/EMR, claims, or other regulated environments.
Exposure to HIPAA, HITECH, HITRUST, SOC 2, or related compliance frameworks.

Responsibilities

Own internal software end to end, from requirements and architecture through implementation, deployment, and ongoing maintenance.
Build web applications, services, APIs, and integrations with third-party systems such as EHR, billing, and HR platforms.
Establish standards for source control, branching, code review, testing, modular design, documentation, and secure coding.
Lead by example through high-quality code and thoughtful pull request reviews.
Build and maintain applications and agentic workflows that use LLMs and AI services.
Help internal builders using Claude Code and similar tools turn prototypes into production-grade software.
Implement deployment pipelines, environment management, monitoring, alerting, and incident response across internal systems.
Debug production issues and conduct blameless post-incident reviews.
Build and maintain pipelines moving application data into and out of the Azure Fabric Lakehouse.
Contribute to cloud infrastructure, infrastructure-as-code, and data models supporting applications and reporting.
Work with clinical, billing, credentialing, and operations leaders to translate workflow problems into well-scoped software solutions.