Brief Description:  

The Principal, Cloud Software Engineer will be responsible for designing, developing, and maintaining modern healthcare-focused applications that support clinical, research, and enterprise RnD AAAI initiatives across the RnD organization. This role will lead the development of secure, scalable, AI-enabled web applications and APIs within an AWS cloud environment, with a strong emphasis on product development, user experience, and delivery of intelligent software solutions. 

​​Essential Functions 

• ​Design, develop, and maintain full stack web applications using Python, Java, C++ and modern frontend frameworks. 

• ​Build scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django. 

• ​Develop responsive, intuitive, and secure user interfaces using React, TypeScript, JavaScript, HTML5, CSS and Tailwind. 

• ​Build healthcare and research applications that support clinical, operational, and AI-enabled workflows. 

• ​Collaborate with Product, AI/ML/Data Engineering, IT / Infrastructure and Business teams to translate requirements into effective software solutions. 

• ​Design and develop application features that incorporate AI/ML capabilities. 

• ​Integrate AI services and machine learning models into production applications through APIs and service interfaces. 

• ​Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. 

• ​Build secure and scalable application components within the AWS environment using services such as EC2, Lambda, ECS/EKS, API Gateway, S3, CloudFront, CloudWatch, and IAM. 

• ​Implement authentication, authorization, role-based access, and secure data handling patterns appropriate for regulated healthcare environments. 

• ​Develop integrations with internal and external systems using APIs, event-driven patterns, and secure service communication. 

• ​Create and maintain automated unit, integration, and end-to-end tests to ensure software quality and reliability. 

• ​Support CI/CD practices and modern software delivery workflows using tools such as GitHub Actions, Jenkins, or AWS CodePipeline. 

• ​Contribute to application monitoring, logging, and troubleshooting to ensure performance, stability, and maintainability. 

• ​Participate in architecture and design reviews, providing input on application structure, scalability, security, and AI integration patterns. 

• ​Document application behavior, technical designs, and operational procedures. 

• ​Ensure solutions align with healthcare privacy, security, and regulatory expectations including HIPAA, GDPR, and GxP-aligned practices where applicable. 

• ​Mentor other engineers and contribute to engineering standards, code quality, and technical best practices. 

​ 

​Required Knowledge, Skills and Abilities  

​ 

• ​Strong proficiency in Python, Java, C++ development with experience building enterprise or healthcare software applications. 

• ​Strong experience with modern frontend frameworks such as React, Angular, or Vue.js. 

• ​Experience designing and developing REST APIs and application backends. 

• ​Strong understanding of AWS services used for application development and deployment. 

• ​Experience building secure, scalable web applications in cloud environments. 

• ​Experience with authentication, authorization, and secure application design patterns. 

• ​Strong understanding of application testing practices, including unit, integration, and end-to-end testing. 

• ​Experience integrating third-party services, APIs, and internal systems. 

• ​Experience developing applications that incorporate AI/ML capabilities or intelligent workflows. 

• ​Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features. 

• ​Experience working with Data Science or ML teams to productionize AI-driven application features. 

• ​Knowledge of healthcare privacy, security, and regulatory requirements, including HIPAA and GDPR. 

• ​Strong analytical, troubleshooting, and problem-solving abilities. 

• ​Excellent communication skills and ability to work effectively with cross-functional stakeholders. 

• ​Experience working in Agile/Scrum development environments. 

​ 

​Preferred Knowledge, Skills and Abilities  

​ 

• ​Experience in Healthcare, Life Sciences, Pharmaceutical, Biotechnology, Clinical Research, or Medical Device environments. 

• ​Experience building AI-enabled healthcare applications, clinical decision support tools, or intelligent workflow solutions. 

• ​Experience developing event-driven or service-oriented application architectures. 

• ​Knowledge of software architecture patterns and enterprise integration practices. 

• ​Familiarity with regulated software development, validation, documentation, and change control practices.  

​ 

​Required/Preferred Education 

• ​Preferred Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, Bioinformatics, Mathematics, or a related technical discipline required.  

• ​5+ years of professional software engineering experience.  

• ​3+ years of experience designing and deploying cloud-native applications within AWS environments.  

• ​Demonstrated experience delivering complex software projects from design through production support. 

​ 

​Description of Physical Demands 

• ​Occasional mobility within office environment 

• ​Routinely sitting for extended periods of time 

• ​Constantly operating a computer, printer, telephone and other similar office machinery 

#LI-DM1