Cloud, DevOps & Infrastructure Engineer – AWS / Google Cloud Platform / Azure / CI/CD / Security

We are seeking experienced Cloud, DevOps, and Infrastructure Engineers to design, implement, secure, and maintain scalable cloud infrastructure supporting enterprise healthcare applications and AI workloads.

The ideal candidates will have hands-on experience with Google Cloud Platform (Google Cloud Platform), AWS, Azure DevOps, CI/CD pipelines, cloud security, identity and access management, and AI solution security architecture.

Candidates will work closely with application development, AI/ML, infrastructure, and security teams to deliver reliable, secure, and scalable enterprise solutions.

Key Responsibilities:

Design, provision, configure, and maintain cloud infrastructure across Google Cloud Platform and AWS.

Build, manage, and optimize CI/CD pipelines for application and infrastructure deployments.

Support deployment and maintenance of RAG-based AI solutions.

Implement cloud infrastructure automation and deployment best practices.

Manage Azure DevOps pipelines and release processes.

Implement Azure security best practices and enterprise security controls.

Manage identity and access across Okta, Microsoft Entra ID, and on-premises Active Directory.

Design secure architecture for AI solutions handling sensitive healthcare information.

Develop architectural blueprints and define system boundaries for AI applications.

Integrate security controls into AI and cloud-based solutions.

Identify infrastructure and application security risks and recommend mitigation strategies.

Collaborate with engineering, architecture, infrastructure, and business teams.

Ensure scalability, availability, security, and compliance across enterprise platforms.

Required Technical Skills:

Google Cloud Platform (Google Cloud Platform).

Amazon Web Services (AWS).

Microsoft Azure and Azure DevOps.

CI/CD pipeline development and management.

Cloud infrastructure provisioning and management.

Infrastructure automation.

RAG-based AI solution deployment knowledge.

Azure security best practices.

Okta identity and access management.

Microsoft Entra ID (Azure AD).

On-premises Active Directory.

AI solution security architecture.

Security integration and system boundary design.

Preferred Qualifications:

Experience designing and managing enterprise cloud infrastructure.

Experience supporting AI/ML and Generative AI workloads.

Knowledge of cloud security architecture and enterprise identity management.

Experience working with cross-functional engineering and security teams.

Strong troubleshooting, analytical, and communication skills.

Experience working in healthcare or other regulated environments.

Working knowledge of HIPAA and PHI data handling.

Healthcare Domain Requirements:

Understanding of healthcare data security and compliance requirements.

Knowledge of HIPAA guidelines.

Experience handling Protected Health Information (PHI) securely.

Additional Information:

This is an onshore healthcare technology opportunity in the United States. Candidates should have relevant hands-on experience in one or more of the above cloud, DevOps, infrastructure, or security technology areas.

Work Authorization: Must be legally authorized to work in the US. H-1B transfers supported for qualified candidates. All applicants considered without regard to citizenship status or national origin.
Equal opportunity employer.