Senior Infrastructure Security Engineer

Company : Curative AI

Job Type : Full Time

Bellevue, Wa

Number of Applicants

000+

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Job Description - Senior Infrastructure Security Engineer

About Curative AI, Inc.
Curative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare industry through cutting-edge AI-powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry-transforming AI technology, intelligent automation, and deep data insights.

Unlike most tech startups, we achieved financial break-even within our first year, with multi-year signed customer contracts. Headquartered in Bellevue/Seattle, we have built a sizable top-notch tech team in the US, and a large talented team in our offshore subsidiary.

We now enter our rapid growth phase, hiring aggressively to scale the US-based team to 100+ employees in 2026. Our vision is bold: to grow our revenues and customer basis exponentially by continuing to deliver exceptional solutions and expanding our scope and product offerings. This is an exceptional opportunity to join an early-stage AI Healthcare tech company with a proven product, established customer base, solid revenue streams, and explosive growth potential.

The Opportunity:
Curative AI is looking for a senior, hands-on Infrastructure & AI Security Engineer to design, implement, and harden security controls across our cloud and AI platforms. This role is deeply technical and highly collaborative, working directly with engineering teams to secure production AI-powered healthcare SaaS systems running across Azure, AWS, and Microsoft 365.

This is not a governance or audit-focused role. Security strategy, compliance requirements, and risk frameworks (SOC 2, HIPAA, ISMS) are already established. This position exists to translate those requirements into real, enforceable technical controls and to help engineering design secure systems from the ground up.

You will work on security challenges that go beyond traditional infrastructure, including LLM platforms, agentic AI workflows, inference endpoints, and AI-driven automation, protecting them against misuse, data leakage, and adversarial threats. Reporting to the Director of IT, you will operate as a technical authority for security engineering, shaping how security is implemented across Curative AI’s platform. This is an opportunity to build and own security for cutting-edge AI healthcare solutions in a fast-growing startup environment.

Key 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.

AI Security Engineering

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.

Threat Modeling & Risk Reduction

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.

Secure SDLC & Engineering Partnership

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.

Security Automation & Tooling

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.

Incident Response & Operations

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.

Documentation & Maturity

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.

Qualifications:

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.

Compensation and Benefits:

Base Salary Range: $120,000 - $160,000 (commensurate with experience and qualifications)

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

Curative AI, Inc. is an Equal Opportunity Employer (EEO) and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, political affiliation, disability, genetic information (including family medical history), age, marital status, veteran status, or other non-merit-based factors. Curative AI, Inc. does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full-time basis and not require current or future visa sponsorship for employment. Curative AI, Inc. is committed to creating a diverse and inclusive workforce. We value the unique perspectives and talents that each individual brings to our company, and we are committed to providing an environment where all employees feel respected, valued, and empowered to reach their full potential. We encourage qualified individuals from all backgrounds to apply for our open positions.

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Senior Infrastructure Security Engineer

Job Description - Senior Infrastructure Security Engineer

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