Job description
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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.