What are the responsibilities and job description for the Software Developer - Cloud & AI Engineer- Full remote EST Hours position at Jobs via Dice?
POSITION SUMMARY:
We are seeking a highly motivated and skilled Mid Level Software Developer to join our Emerging Technology team. This role will focus on designing, developing, and deploying a secure, scalable, and compliant cloud-based AI platform that supports clinical, operational, and administrative use cases across our health system. The ideal candidate will have a strong background in cloud-native development, AI/ML integration, and healthcare data systems, with a passion for improving patient outcomes and provider efficiency through technology.
KEY RESPONSIBILITIES:
Design and implement cloud-native applications and services that support AI-driven healthcare solutions.
Collaborate with data engineers, clinicians, and IT teams to integrate AI models into clinical workflows and enterprise platforms.
Ensure platform security, compliance (e.g., HIPAA), and performance through robust architecture and development practices.
Develop and maintain infrastructure-as-code (IaC) for scalable deployment across cloud environments.
Contribute to the development of internal tools for model monitoring, explainability, and governance.
Participate in agile development cycles, including sprint planning, code reviews, and continuous integration/continuous deployment (CI/CD).
Stay current with emerging technologies in AI, cloud computing, and healthcare IT.
PREFERRED QUALIFICATIONS:
Master s degree in Computer Science, or related discipline.
Experience deploying AI/ML models in production environments
Knowledge of data governance tools (e.g., Collibra), data lakes (e.g., Snowflake), and analytics platforms (e.g., Power BI, Microsoft Fabric).
Exposure to agentic AI, Prompt Engineering, RAG pipelines, or LLM orchestration frameworks.
Prior experience in a healthcare setting or with clinical decision support systems.
Demonstrated ability to work in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Familiarity with healthcare data standards (e.g., HL7, FHIR) and privacy regulations (e.g., HIPAA).
Proficiency in Python, JavaScript/TypeScript, or similar languages.
Experience with containerization (Docker, Kubernetes) and serverless architectures.
Understanding of RESTful API design and integration patterns.
REQUIRED QUALIFICATIONS:
Bachelor s degree in Computer Science, Software Engineering, or a related field required.
3 years of experience in software development, with at least 1 year in cloud-based environments (e.g., Azure, AWS, Google Cloud Platform).
We are seeking a highly motivated and skilled Mid Level Software Developer to join our Emerging Technology team. This role will focus on designing, developing, and deploying a secure, scalable, and compliant cloud-based AI platform that supports clinical, operational, and administrative use cases across our health system. The ideal candidate will have a strong background in cloud-native development, AI/ML integration, and healthcare data systems, with a passion for improving patient outcomes and provider efficiency through technology.
KEY RESPONSIBILITIES:
Design and implement cloud-native applications and services that support AI-driven healthcare solutions.
Collaborate with data engineers, clinicians, and IT teams to integrate AI models into clinical workflows and enterprise platforms.
Ensure platform security, compliance (e.g., HIPAA), and performance through robust architecture and development practices.
Develop and maintain infrastructure-as-code (IaC) for scalable deployment across cloud environments.
Contribute to the development of internal tools for model monitoring, explainability, and governance.
Participate in agile development cycles, including sprint planning, code reviews, and continuous integration/continuous deployment (CI/CD).
Stay current with emerging technologies in AI, cloud computing, and healthcare IT.
PREFERRED QUALIFICATIONS:
Master s degree in Computer Science, or related discipline.
Experience deploying AI/ML models in production environments
Knowledge of data governance tools (e.g., Collibra), data lakes (e.g., Snowflake), and analytics platforms (e.g., Power BI, Microsoft Fabric).
Exposure to agentic AI, Prompt Engineering, RAG pipelines, or LLM orchestration frameworks.
Prior experience in a healthcare setting or with clinical decision support systems.
Demonstrated ability to work in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Familiarity with healthcare data standards (e.g., HL7, FHIR) and privacy regulations (e.g., HIPAA).
Proficiency in Python, JavaScript/TypeScript, or similar languages.
Experience with containerization (Docker, Kubernetes) and serverless architectures.
Understanding of RESTful API design and integration patterns.
REQUIRED QUALIFICATIONS:
Bachelor s degree in Computer Science, Software Engineering, or a related field required.
3 years of experience in software development, with at least 1 year in cloud-based environments (e.g., Azure, AWS, Google Cloud Platform).