AI Security & Compliance Engineer

GAC Solutions; Jersey City (NJ); On-site; USD 90,000 - 130,000; Full time

Job summary

GAC Solutions seeks a security-focused professional to strengthen cloud and software security posture. The role emphasizes DevSecOps and secure deployment patterns across cloud-native platforms, AWS, and IaC tooling.

You will collaborate with engineering teams to implement practical, risk-based controls and ensure robust security across the development lifecycle. Candidates should have strong background in cybersecurity, cloud security, and experience with containers, Kubernetes, CI/CD, IaC;

Qualifications

• Strong background in cybersecurity, cloud security and application security.
• Experience with DevSecOps, or technology risk disciplines.

Responsibilities

• Collaborate with engineering teams to implement risk-based security controls.
• Secure cloud-native platforms, APIs, microservices, containers, Kubernetes, CI/CD pipelines, and IaC.

Skills

Cybersecurity

Cloud security

Application security

DevSecOps

Technology risk

Threat modeling

Vulnerability management

Security testing

Incident response

Secure SDLC

Terraform/IaC

Job description

Strong background in cybersecurity, cloud security, application security, DevSecOps, or technology risk.

Experience securing cloud-native platforms, APIs, microservices, containers, Kubernetes, CI/CD pipelines, and infrastructure-as-code.

Strong AWS cloud security exposure or comparable hyperscaler security depth, including IAM, encryption, network controls, logging, secrets, and secure deployment patterns.

Understanding of AI/ML and GenAI-specific risks such as prompt injection, adversarial attacks, data leakage, model misuse, retrieval poisoning, model supply-chain risk, and unsafe tool use.

Familiarity with threat modeling, vulnerability management, security testing, incident response, secure SDLC, DevSecOps, and Terraform/IaC controls.

Ability to work directly with engineering teams to implement practical, risk-based controls.