Cloud Engineer, DevOps Engineer, Infrastructure Engineer
- Shiro Technologies
1 Days Ago
NA
W2
Plano-TX
5-10 Years
Required Skills: Active Directory, Amazon Web Services, Analytical Skills, Application Development, Artificial Intelligence, Cloud Computing, Cloud Security, Collaboration, Communication, Continuous Delivery, Continuous Integration, Data Security, DevOps, Employment Authorization, Generative Artificial Intelligence GenAI, Good Clinical Practice, GCP, Google Cloud, Google Cloud Platform, Health Insurance Portability and Accountability Act, HIPAA, Healthcare, Infrastructure as a Service, Identity Management, Machine Learning, Management, Microsoft, Microsoft Azure, ProVision, Provisioning, Regulatory Compliance, Scalability, Security Architecture, Security Controls, Software Security
Job Description
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 (GCP), Amazon Web Services (AWS), Microsoft Azure, Azure DevOps, CI/CD pipelines, cloud infrastructure automation, and enterprise security architecture.
Candidates will collaborate with application development, AI/ML, infrastructure, and security teams to deliver reliable, secure, scalable, and compliant enterprise solutions, including RAG-based AI applications handling sensitive healthcare information.
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 the deployment and maintenance of Retrieval-Augmented Generation (RAG)-based AI solutions.
- Implement cloud infrastructure automation and deployment best practices.
- Manage Azure DevOps pipelines, build processes, and release management.
- Implement Microsoft Azure security best practices and enterprise security controls.
- Manage identity and access across Okta, Microsoft Entra ID, and on-premises Active Directory.
- Design secure architectures for AI solutions that process 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 (GCP)
- 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
- 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 requirements and Protected Health Information (PHI) data handling.
Healthcare Domain Requirements
- Understanding of healthcare data security and compliance requirements.
- Knowledge of HIPAA guidelines.
- Experience securely handling Protected Health Information (PHI).
