Cloud Analyst

Clarify AI; United States; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Clarify AI is seeking a Cloud Analyst to design and optimize cloud-based solutions for healthcare billing systems. You will help deploy AI-powered revenue cycle applications while ensuring HIPAA compliance and robust data security in the cloud.

You will collaborate with data science and engineering teams to implement scalable, secure cloud architectures, monitor performance, and drive cost efficiency across platforms (AWS/Azure/GCP).

Qualifications

• 3+ years of experience with major cloud platforms (AWS, Azure, GCP) and cloud infrastructure.
• Strong knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience with healthcare data systems and interoperability standards (HL7, FHIR).
• In-depth understanding of HIPAA compliance requirements for cloud infrastructure and data management.
• Familiarity with CI/CD pipelines and infrastructure as code practices.
• Proficiency in cloud security, cost management, and performance optimization strategies.

Responsibilities

• Design and implement cloud-based solutions to support healthcare billing systems, optimizing infrastructure for AI-powered revenue cycle management applications.
• Ensure HIPAA compliance and data security in cloud environments, aligning with industry standards.
• Monitor cloud performance metrics and implement cost-optimization strategies to ensure scalability and efficiency.
• Collaborate with data science and engineering teams to deploy machine learning models and support data-intensive applications.
• Provide technical guidance on cloud architecture decisions, recommending best practices for scalability, security, and performance.
• Ensure seamless integration of cloud services with healthcare data systems, maintaining interoperability and regulatory compliance.

Skills

Cloud platforms (AWS/Azure/GCP)

Containerization (Docker/Kubernetes)

Healthcare data standards (HL7/FHIR)

HIPAA compliance

CI/CD & IaC

Security & cost optimization

Tools

Docker

Kubernetes

Job description

We are seeking a Cloud Analyst to design, implement, and optimize cloud-based solutions for healthcare billing systems. You will play a key role in enhancing the cloud infrastructure for AI-powered revenue cycle management applications, ensuring high performance, security, and compliance. Working closely with data science and engineering teams, you'll help deploy machine learning models while ensuring HIPAA compliance and data security in the cloud environment.

• Design and implement cloud-based solutions to support healthcare billing systems, optimizing infrastructure for AI-powered revenue cycle management applications.
• Ensure HIPAA compliance and data security in cloud environments, aligning with industry standards.
• Monitor cloud performance metrics and implement cost-optimization strategies to ensure scalability and efficiency.
• Collaborate with data science and engineering teams to deploy machine learning models and support data-intensive applications.
• Provide technical guidance on cloud architecture decisions, recommending best practices for scalability, security, and performance.
• Ensure seamless integration of cloud services with healthcare data systems, maintaining interoperability and regulatory compliance.

Qualifications & Skills

• 3+ years of experience with major cloud platforms (AWS, Azure, GCP) and cloud infrastructure.
• Strong knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience with healthcare data systems and interoperability standards (e.g., HL7, FHIR).
• In-depth understanding of HIPAA compliance requirements for cloud infrastructure and data management.
• Familiarity with CI/CD pipelines and infrastructure as code practices.
• Proficiency in cloud security, cost management, and performance optimization strategies.

Location & Work Authorization

This is a U.S.-based role. Candidates must be located in the United States and authorized to work in the U.S. without current or future employment sponsorship.