Senior Information Security Engineer

Reveleer

. Safeguard Reveleer’s cloud-based healthcare SaaS platforms, AI/ML systems, infrastructure, and customer data .

Posted 10/6/2026full-timeRemote • United StatesSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in cloud-native security across AWS, Azure, and GCP, with a strong focus on securing AI/ML systems and healthcare data. Proficient in implementing infrastructure-as-code security controls and managing security automation tools to protect sensitive information.

Highest-signal resume keywords

Cloud-Native SecurityInfrastructure-As-Code SecuritySIEM/EDR/XDR ManagementAI/ML Security GovernanceCompliance with HIPAA and NIST

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS SecurityAzure SecurityGCP SecurityContainer Security (EKS, Lambda)Security AutomationThreat ModelingIncident ResponseVulnerability ManagementScripting (Python, PowerShell)Policy-As-Code Implementation

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaborationProactive Improvement

Tools & Technologies

SIEMEDR/XDRTerraformAnsibleCloudFormationJenkinsBitbucketSOAR WorkflowsCSPM/CNAPP ToolingIdentity Security (Microsoft Entra ID)

Certifications & Qualifications

CISSPCISMCCSPAWS Security SpecialtyGIAC

Industry Keywords

Healthcare SaaSPHI ProtectionPII ProtectionCompliance (HIPAA, HITRUST, SOC 2)Risk Management

Tech Stack

Tools & technologies

AndroidAnsibleAWSAzureCloudGoogle Cloud PlatformiOSJenkinsMacOSMicroservicesPythonTerraform

About the role

Key responsibilities & impact

Safeguard Reveleer’s cloud-based healthcare SaaS platforms, AI/ML systems, infrastructure, and customer data
Design and maintain secure architectures across AWS, Azure, and GCP
Implement infrastructure-as-code and policy-as-code security controls
Operate CSPM/CNAPP tooling to detect misconfigurations, toxic combinations, and exposed PHI data stores
Secure containerized and serverless workloads across EKS, ECS, and Lambda
Enforce network segmentation, encryption standards, and centralized key and secrets management
Partner with Data Science and AI Engineering to secure model development, training, fine-tuning, inference, and RAG pipelines handling PHI and PII
Threat model AI features and address prompt injection, insecure output handling, training data poisoning, exfiltration, and excessive agency
Implement AI gateways, guardrails, content filtering, validation, rate limiting, and audit logging
Govern third-party and foundation model usage, including vendor reviews, data residency, retention, zero-retention, no-training, and BAA controls
Establish controls against shadow AI and secure the ML supply chain
Contribute to AI governance with Compliance and Legal
Embed security into CI/CD pipelines using SAST, DAST, SCA, secrets scanning, and IaC scanning
Perform threat modeling, secure design reviews, and code reviews for microservices, APIs, and AI-enabled features
Secure API and machine-to-machine authorization patterns
Manage software supply chain risk through SBOM generation, dependency governance, and artifact signing
Drive penetration testing, bug bounty intake, and remediation validation
Protect PHI and PII through classification, tokenization, de-identification, and DLP
Manage and tune EDR/XDR platforms and develop detection engineering and response automation
Implement identity security through Microsoft Entra ID, Conditional Access, PIM, and risk-based authentication
Govern non-human identities, service principals, workload identities, and AI agent credentials
Support Intune and MDM compliance baselines across Windows, macOS, iOS, and Android
Operate SaaS security posture management for third-party integrations and OAuth grant risk
Monitor and triage alerts, investigate incidents, and coordinate response with SOC and MDR partners
Build and maintain SIEM detection content, detection-as-code, log pipeline coverage, and MITRE ATT&CK mapping
Develop incident response runbooks, playbooks, and forensic procedures, including AI-specific scenarios
Automate response and enrichment through SOAR workflows, Python, and PowerShell
Participate in tabletop exercises, purple team activity, and post-incident reviews
Support audits and evidence collection for HIPAA, HITRUST, SOC 2 Type 2, NIST 800-53, and customer security assessments
Maintain asset and AI system inventories, risk registers, and remediation tracking
Conduct vendor and third-party risk reviews, especially for AI subprocessors and data flows
Partner with Compliance to align technical controls, policies, and standards
Contribute to security awareness and training, including responsible AI use guidance

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Security, or equivalent experience
5+ years of experience in security engineering or related technical security roles
Strong knowledge of cloud-native security across AWS, Azure, and GCP
Hands-on experience with SIEM, EDR/XDR, IAM, vulnerability management, and security automation
Familiarity with HIPAA, HITRUST, NIST, and SOC 2 requirements
Experience securing containerized and serverless workloads, such as EKS and Lambda
Preferred: CISSP, CISM, CCSP, AWS Security Specialty, or GIAC certifications
Preferred: Terraform, Ansible, or CloudFormation experience for infrastructure-as-code security
Preferred: DevSecOps pipeline and tools experience, such as Jenkins and Bitbucket
Preferred: Strong scripting skills in Python, PowerShell, or Bash
Analytical and detail-oriented with strong problem-solving skills
Ability to balance business needs with risk mitigation
Excellent communication skills for translating complex technical topics to non-technical stakeholders
Collaborative and proactive approach to continuous improvement
Must complete Reveleer’s E-Verify process as a new hire

Benefits

Comp & perks

Competitive salary
Medical, Dental and Vision benefits
401k match
Generous PTO plan