Jobs / Sta***
Cloud, DevOps & Infrastructure Engineer – AWS / GCP / Azure / CI/CD / Security
Sta*** · Plano, TX, United States
Plano, TX, United StatesOnsite
Remuneration
Not specified
Location
Plano, TX, United States
Visa sponsorship
Sponsors visa
Job summary
Design and maintain secure, scalable cloud infrastructure for enterprise healthcare applications and AI workloads across Google Cloud Platform, AWS, and Microsoft Azure. Build CI/CD pipelines, automate infrastructure deployment, manage identity and access, and support RAG-based AI solutions in collaboration with engineering, AI/ML, infrastructure, and security teams. The role also addresses security architecture, HIPAA compliance, and the protection of sensitive healthcare information, including PHI.
Qualifications
- Hands-on experience in one or more cloud, DevOps, infrastructure, or security technology areas.
- Knowledge of GCP, AWS, Microsoft Azure, and Azure DevOps.
- Experience developing and managing CI/CD pipelines.
- Experience provisioning and managing cloud infrastructure and automating deployments.
- Knowledge of RAG-based AI solution deployment.
- Knowledge of Azure security practices, Okta, Microsoft Entra ID, and on-premises Active Directory.
- Experience designing and managing enterprise cloud infrastructure.
- Experience supporting AI/ML and generative AI workloads.
- Knowledge of healthcare data security, HIPAA guidelines, and secure PHI handling.
Responsibilities
- Design, provision, configure, and maintain cloud infrastructure across GCP and AWS.
- Build, manage, and optimize CI/CD pipelines for application and infrastructure deployments.
- Support deployment and maintenance of RAG-based AI solutions.
- Automate cloud infrastructure deployment and follow deployment best practices.
- Manage Azure DevOps pipelines and release processes.
- Implement Azure security practices and enterprise security controls.
- Manage identity and access across Okta, Microsoft Entra ID, and on-premises Active Directory.
- Design secure architectures and system boundaries for AI applications handling sensitive healthcare information.
- Integrate security controls into AI and cloud solutions.
- Identify infrastructure and application security risks and recommend mitigations.
- Collaborate with engineering, architecture, infrastructure, security, and business teams.
- Ensure scalability, availability, security, and compliance across enterprise platforms.
Skills
AWSAzureAzure DevOpsGCPIAMOktaAnsibleCircleCIGitHub ActionsGitLab CIJenkinsPythonTerraform
Industry
HealthcareHealthcare technology
Relocation
No