Senior Cloud Security Engineer — AI-Driven Healthcare

Xsolis, Inc; United States; Teletrabalho; USD 150 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical Insurance

Dental Insurance

Vision Insurance

401K with match

Flexible PTO

Parental Leave

HSA/FSA options

Education reimbursement

Mental Health support

Resumo da oferta

Xsolis, Inc is seeking a Sr. Cloud Security Engineer to lead the design and improvement of our cloud security posture in AWS, with a focus on compliant, AI-enabled healthcare platforms.

The role demands hands-on security engineering across cloud, containerized, and serverless workloads while embedding security into AI/ML pipelines. You will mentor engineers, collaborate with product, data science, and operations teams, and drive Zero Trust, IAM, and encryption standards.

Qualificações

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems or equivalent experience.
• Master’s degree desirable in Cybersecurity/CS/IS.
• Certifications such as CISSP, CCSP, AWS Security preferred.

Responsabilidades

• Design and implement secure cloud architectures across AWS.
• Lead security guardrails, IAM, network segmentation, encryption, etc.
• Apply Zero Trust principles to cloud-native systems and endpoints.
• Secure containerized and serverless workloads (ECS, Kubernetes, Docker, Lambda).
• Collaborate with engineering to secure AI/ML/GenAI systems and data flows.
• Support audits and compliance with HIPAA, HITRUST, SOC 2, etc.

Conhecimentos

Cloud Security Architecture

AWS Security

Zero Trust

Regulated Environments

CI/CD Security

Scripting (Python)

Formação académica

Bachelor's in Cybersecurity/CS/IS

Master's desirable

Ferramentas

Kubernetes

Docker

Terraform

CloudFormation

SIEM

Descrição da oferta de emprego

Xsolis, Inc is seeking a Sr. Cloud Security Engineer to lead the design and improvement of our cloud security posture in AWS, with a focus on compliant, AI-enabled healthcare platforms.

The role demands hands-on security engineering across cloud, containerized, and serverless workloads while embedding security into AI/ML pipelines. You will mentor engineers, collaborate with product, data science, and operations teams, and drive Zero Trust, IAM, and encryption standards.