Curative AI, Inc. · 1 day ago
Senior Infrastructure Security Engineer
United States
Full-time
Remote
Mid, Senior Level
$120K/yr - $160K/yr
6+ years expCurative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare industry through cutting-edge AI-powered SaaS solutions. They are seeking a Senior Infrastructure Security Engineer to design, implement, and harden security controls across their cloud and AI platforms, working closely with engineering teams to secure production AI-powered healthcare SaaS systems.
Artificial Intelligence (AI)Cloud ComputingData VisualizationHealth CareHealth DiagnosticsMedicalMedical DevicemHealthSoftware
No H1B
U.S. Citizen Only
Responsibilities
Security Engineering & Architecture
Design, implement, and maintain secure infrastructure across Azure, AWS, and Microsoft 365, including networking, IAM, compute, storage, and containerized workloads (AKS/EKS)
Partner with engineering teams to design secure architectures for new services and platform components before they reach production
Implement and enforce security baselines using infrastructure-as-code and automation
Implement security controls for production LLM platforms and agentic AI workflows, covering:
Input validation and output constraints
Model and inference endpoint access controls
Isolation of AI workloads
Abuse, misuse, and data leakage prevention
Design guardrails to prevent cross-tenant exposure, unauthorized autonomous actions, and sensitive data disclosure in AI-powered systems
Secure the AI model lifecycle, including training, fine-tuning, deployment, and inference
Lead AI-specific threat modeling covering prompt injection, indirect prompt attacks, jailbreaks, model exfiltration, data poisoning, and supply-chain risks
Simulate adversarial scenarios and translate findings into concrete technical mitigations
Participate in architectural reviews to proactively reduce security risk
Work closely with development teams to define and enforce secure coding practices and AI security guardrails throughout the SDLC
Participate in design reviews, code reviews, and pre-production risk assessments
Help engineering teams move fast without compromising security
Automate security configuration, monitoring, and compliance enforcement using Terraform, Python, PowerShell, and Bash
Deploy and manage security tooling including vulnerability scanners, EDR/XDR, SIEM, and runtime protection for cloud and AI workloads
Improve detection and response capabilities through logging, alerting, and anomaly detection
Develop and maintain AI-specific incident response playbooks, including scenarios such as hallucination-related failures or unauthorized agent actions
Assist in security investigations and post-incident reviews
Participate in tabletop exercises and continuous improvement initiatives
Maintain clear documentation for security architectures, standards, and operational procedures
Partner with IT and engineering leadership to strengthen overall security maturity, resilience, and BCP/DR readiness
Qualification
Required
6–10+ years of experience in infrastructure, cloud, or security engineering
2+ years securing production AI/ML systems or LLM-based platforms (not limited to experimental or internal-only deployments)
Deep hands-on experience with Azure and AWS security, networking, and IAM
Strong background in Linux, Windows Server / Active Directory, and cloud-native environments
Experience securing Microsoft 365, including Intune and Defender (P2 or equivalent)
Strong automation skills using Python, PowerShell, Bash, and IaC tools such as Terraform or CloudFormation
Working knowledge of SOC 2 and HIPAA control requirements, with proven ability to implement them as technical controls rather than documentation
Ability to operate independently and make sound security design decisions in a fast-moving environment
Preferred
Experience securing multi-tenant SaaS platforms, especially in regulated industries
Hands-on experience with Zero Trust or secure remote access solutions (e.g., FortiGate, NordLayer, Teleport)
Knowledge of SSO protocols, PKI, and certificate management
Exposure to AI red-teaming, adversarial testing, or AI abuse prevention techniques
Cloud or security certifications (AZ-500, AWS Security Specialty, CISSP, GIAC)
Prior experience in healthcare or regulated SaaS environments
Benefits
Target Annual Performance Bonus
Equity Package: Generous equity participation in the company's future success
Comprehensive benefits package including medical, dental, vision, Life and AD&D insurance; 401K; paid time off and holidays
Opportunity to work on cutting-edge AI projects and make an impact on the company's success
Chance to make a real impact on the company’s AI strategy and innovation
Company
Curative AI, Inc.
Curative AI, Inc.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Kristy Johnson
Chief Legal Officer
Company data provided by crunchbase