Senior Cloud Security Engineer

Med-Metrix; Parsippany-Troy Hills (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Med-Metrix seeks a Senior Cloud Security Engineer to design, implement, and maintain security across our multi-cloud environment, with emphasis on AI/ML workloads and AI-driven tooling.

You will partner with engineering, development, and DevOps teams to embed security into every stage of the cloud and AI lifecycle, including incident response and governance.

Qualifications

• 6+ years in information security with 4+ years in cloud security engineering.
• Deep hands-on AWS and Azure security expertise with native services.
• Experience securing AI/ML systems or working with AI security frameworks.

Responsibilities

• Design and implement secure cloud architecture across AWS and Azure, including identity, network security, encryption, and key management.
• Implement cloud-native logging, monitoring, and threat detection to improve visibility and response.
• Build IaC (Terraform, CloudFormation, Bicep), Policy-as-Code, and automated compliance controls.
• Develop CSPM/CWPP/CNAPP capabilities and secure-by-design practices.
• Conduct threat modeling, security architecture reviews, and risk assessments for cloud services.
• Lead secure AI/ML environments, including MLOps pipelines, model security, and AI governance.

Skills

AWS Security

Azure Security

GCP (optional)

IAM & Zero Trust

Threat modeling

Python scripting

CI/CD security

Cloud security architecture

HIPAA/HITRUST/PCI security

Education

Bachelor's degree in CS or related field

Tools

Terraform

CloudFormation

Bicep

Job description

Posted Tuesday, August 4, 2026 at 4:00 AM

Job Purpose

The Senior Cloud Security Engineer will design, implement, and maintain security controls across our multi-cloud environment, with a particular emphasis on securing AI/ML workloads and leveraging AI-driven security tooling. The Senior Cloud Security Engineer will serve as a technical leader, partnering with engineering, application development, and DevOps teams to embed security into every stage of the cloud and AI development lifecycle.

Duties & Responsibilities

• Design and implement secure cloud architecture across AWS and Azure, including identity, network security, encryption, and key management
• Implement cloud-native logging, monitoring, and threat detection to improve visibility and incident response
• Build Infrastructure-as-Code (Terraform, CloudFormation, Bicep), Policy-as-Code, and automated compliance controls
• Implement and enhance Cloud Security Posture Management (CSPM), Cloud Workload Protection (CWPP), and CNAPP capabilities
• Conduct threat modeling, security architecture reviews, and risk assessments for cloud services and applications
• Design and secure AI/ML environments, including MLOps pipelines, model security, inference endpoints, and AI governance
• Assess and mitigate AI-specific threats, including prompt injection, model poisoning, adversarial attacks, and data leakage
• Partner with engineering and data science teams to implement secure-by-design and privacy-preserving controls for regulated data
• Develop automated detections, SOAR playbooks, and AI-driven threat hunting capabilities
• Lead technical response to cloud and AI security incidents, including forensic analysis and remediation
• Design and implement security controls supporting HIPAA, HITRUST, PCI DSS, SOC 2, NIST CSF, and NIST AI RMF requirements
• Support technical readiness, evidence collection, and remediation activities for security audits and compliance assessments
• Develop and maintain cloud security standards, technical guidance, and AI governance documentation
• Support enterprise risk management and vendor security assessments
• Integrate security throughout the DevSecOps lifecycle, including application, container, and secrets management
• Develop security metrics, communicate technical risks to stakeholders, and recommend continuous security improvements
• Mentor junior engineers and champion security best practices across engineering teams
• Other duties as assigned
• Use, protect and disclose patients’ protected health information (PHI) only in accordance with Health Insurance Portability and Accountability Act (HIPAA) standards
• Understand and comply with Information Security and HIPAA policies and procedures at all times
• Limit viewing of PHI to the absolute minimum as necessary to perform assigned duties

Qualifications

• High school diploma or equivalent required
• 6+ years of experience in information security, with at least 4 years focused on cloud security engineering
• Deep hands-on expertise in both AWS and Microsoft Azure, including native security services (e.g., AWS GuardDuty, Security Hub, IAM Identity Center; Microsoft Defender for Cloud, Sentinel, Entra ID)
• Strong knowledge of IAM, zero trust architecture, network security, encryption, and secrets management in cloud environments
• Practical experience securing AI/ML systems or LLM-based applications, or demonstrable working knowledge of AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF)
• Proficiency in at least one scripting/programming language (Python preferred) and infrastructure-as-code tooling
• Experience with container and orchestration security (Docker, Kubernetes, EKS/AKS)
• Solid understanding of DevSecOps practices and CI/CD security integration
• Hands-on experience supporting compliance programs such as HIPAA, HITRUST CSF, PCI DSS, and SOC 2 in cloud environments, including audit evidence and control implementation
• Proficiency in Microsoft Office Suite
• Strong interpersonal skills, ability to communicate well at all levels of the organization
• Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses
• High level of integrity and dependability with a strong sense of urgency and results oriented
• Excellent written and verbal communication skills required

Preferred Qualifications

• Experience with Google Cloud Platform (GCP) in addition to AWS and Azure
• Experience deploying or securing MLOps platforms (SageMaker, Vertex AI, Azure ML, Databricks, Kubeflow)
• Familiarity with AI-driven security platforms and building custom detections using ML techniques
• Relevant certifications such as CISSP, CCSP, HCISPP, CCSFP (HITRUST), AWS Security Specialty, Azure Security Engineer (AZ-500), GCP Professional Cloud Security Engineer, or GIAC certifications
• Prior experience in healthcare, health tech, or revenue cycle management environments handling PHI at scale
• Experience with red teaming or adversarial testing of AI systems
• Knowledge of data privacy regulations as they apply to AI training data and model outputs, particularly de-identification standards under HIPAA (Safe Harbor and Expert Determination)
• Contributions to security communities, open-source tooling, or published research

Working Conditions

• Travel may be required for training, conferences, etc.
• Must possess a smart-phone or electronic device capable of downloading applications, for multifactor authentication and security purposes
• Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; Sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear
• Mental Demands: The employee must be able to follow directions, collaborate with others, and handle stress
• Work Environment: The noise level in the work environment is usually minimal

Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non-merit based factors, or any other characteristic protected by federal, state or local law.