4 часа назад
Security Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Security Engineer (AI) (Application Security, DevSecOps, AI Systems): Building and operationalizing security controls across applications, data pipelines, APIs, cloud environments, and Agentic AI systems with an accent on secure-by-design implementation, CI/CD security, and AI guardrails. Focus on designing infrastructure-as-code security, performing threat modeling and penetration testing, remediating vulnerabilities, and securing LLM data flows and agent safety.
Location: Remote within the United States
Company
provides specialty revenue cycle management solutions for healthcare organizations through its E360 RCM intelligent automation platform.
What you will do
- Translate security policies into deployable controls across applications, data environments, APIs, databases, and Agentic AI systems.
- Implement secure-by-design practices, code remediations, configuration hardening, and secure infrastructure throughout the software development lifecycle.
- Integrate security into CI/CD pipelines through automation, secrets management, vulnerability scanning, continuous compliance, and environment hardening.
- Build AI security guardrails, secure data flows, and integrate AI security tooling into development workflows.
- Perform penetration testing, threat modeling, code reviews, technical assessments, and direct vulnerability remediation.
- Collaborate with cloud, DevOps, and development teams on monitoring, detection, secure baselines, architecture reviews, training, and security documentation.
Requirements
- Bachelor’s degree in Computer Science, Information Security, Engineering, or a related technical field, or an equivalent combination of education and experience.
- 3+ years of hands-on experience in application security, DevSecOps, or security engineering.
- Experience building secure CI/CD pipelines with Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
- Strong cloud security experience with AWS, Azure, or GCP; infrastructure as code with Terraform or CloudFormation; and container security with Docker or Kubernetes.
- Strong scripting and automation skills with Python, Bash, or PowerShell, plus experience with web/API, data pipeline, microservices, database, and security scanning tools such as SAST, DAST, and SCA.
- Knowledge of NIST, ISO 27001, SOC 2, GDPR, HIPAA, and PCI-DSS, with the ability to translate security requirements into technical implementations.
Nice to have
- Hands-on experience with AI/ML security, model security, data governance, LLM security, prompt injection prevention, and AI agent safety.
- Security certifications such as CISSP, CEH, OSCP, CSSLP, or cloud security certifications.
- Experience with Go, secrets management using HashiCorp Vault or AWS Secrets Manager, zero trust architecture, ETL and data warehouse security, and distributed systems.
Culture & Benefits
- Full-time remote work within the United States.
- Professional growth and development support, including tools, resources, and career development opportunities.
- Culture focused on cooperation, shared goals, flexibility, and work-life balance.
- Commitment to equal employment opportunity and a workplace free from discrimination and harassment.
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