About the Role:
We’re seeking an experienced Middle+/Senior Python Backend Engineer to participate in architecting, building, and maintaining the core backend systems and integration platform for our AI-driven healthcare platform.
This role will focus on developing scalable, secure, and high-performance APIs and services that power our aesthetic medicine solutions.
An engineer will collaborate with a team of engineers, data scientists, frontend developers, and product managers to deliver technical solutions that seamlessly connect healthcare providers’ existing workflows with our innovative AI platform.
Why This Role Matters
A backend engineer supports the development of an AI-powered healthcare platform that is reshaping workflows in aesthetic medicine. The role includes contributing to backend systems that are secure, scalable, and well-integrated with electronic health and CRM systems, ensuring that providers can work efficiently while maintaining high data security standards.
By enabling the seamless integration of AI-powered tools into real-world clinical environments, this position plays a meaningful part in modernizing how aesthetic care is delivered.
This role offers the unique opportunity to work at the intersection of cutting-edge AI technology and practical healthcare workflow automation, directly impacting how thousands of healthcare providers deliver patient care.
Key Responsibilities
- Core Backend Development;
- Participate in the design and development of our backend architecture using AWS serverless services, Python, and FastAPI;
- Design and implement secure, scalable RESTful APIs for both internal and external consumption;
- Develop and optimize data models and database schemas using Aurora Serverless (PostgreSQL);
- Provide technical leadership to the backend engineering team, including mentorship, code reviews, and technical guidance;
- Integration Platform Development;
- Design and implement a comprehensive integration platform supporting major EHR systems, including Epic (FHIR), Cerner/Oracle Health, and aesthetic medicine-specific platforms like Zenoti;
- Build robust CRM integrations with platforms like GoHighLevel, enabling seamless patient data synchronization and workflow automation;
- Architect event-driven integration patterns using AWS EventBridge API Destinations with Python CDK for reliable, scalable third-party connectivity;
- Implement HL7 FHIR-compliant data exchange mechanisms ensuring healthcare interoperability standards;
- Develop webhook management systems and API rate-limiting strategies for external platform integrations;
- Healthcare Compliance & Security;
- Ensure adherence to HIPAA compliance and healthcare security best practices across all integration touchpoints;
- Implement comprehensive data governance and privacy controls for multi-tenant healthcare data;
- Design secure authentication and authorization mechanisms for external system connections;
- Collaborate with data scientists to integrate and deploy AI models into production systems while maintaining data security;
- Technical Leadership & Innovation;
- Lead the implementation of CI/CD pipelines and deployment strategies AWS CDK (on Python);
- Develop and maintain technical documentation and integration specifications;
- Work closely with product and design teams to translate business requirements into technical solutions;
- Drive architectural decisions that support rapid scaling across multiple healthcare organizations.
Required Qualifications
- 4+ years of experience in backend development with Python and web frameworks (FastAPI, Django, or Flask);
- 3+ years of experience with AWS services and cloud architecture, particularly EventBridge, Aurora Serverless, Cognito, Lambda, DynamoDB, optional Bedrock, and CDK;
- Experience with event-driven architectures and message queuing systems, particularly AWS EventBridge API Destinations;
- Strong knowledge of RESTful API design and implementation;
- Proficiency with relational databases, particularly PostgreSQL/Aurora Serverless;
- Strong understanding of software development best practices, design patterns, and architecture;
- Experience with CI/CD, testing, and deployment automation using Infrastructure as Code – AWS CDK on Python is mandatory;
- Excellent problem-solving abilities and communication skills.
Preferred Qualifications
- Hands-on experience with CRM platform integrations (GoHighLevel, HubSpot, Salesforce Health Cloud);
- Experience with healthcare or HIPAA-compliant applications in production environments;
- Knowledge of AI/ML integration in production systems, particularly in healthcare contexts;
- Experience with OAuth 2.0, SMART on FHIR, and healthcare authentication standards;
- Familiarity with containerization and orchestration (Docker, Kubernetes);
- Background in building secure, multi-tenant SaaS applications;
- Experience with GraphQL;
- Direct experience with aesthetic medicine or dermatology practice management systems (Zenoti, ModMed, NextTech);
- Experience with healthcare integrations, specifically EHR systems (Epic, Cerner, Allscripts) and healthcare data standards (HL7 FHIR, USCDI).