jobapplier

Security Engineer – Cloud Security & AI

Rehire

Skills

Required

  • Cloud Security
  • automation
  • AI-driven
  • threat detection
  • AI-powered
  • security automation
  • application security
  • vulnerability management
  • WAF
  • Python
  • Bash
  • Terraform / Ansible / CloudFormation
  • SOC 2 / PCI-DSS / SOX / HIPAA

Preferred

  • penetration testing / threat modeling
  • monitoring tools
  • AI-assisted
  • root-cause
  • vulnerability scanning
  • threat intelligence
  • vendor risk
  • Analyze vulnerability scan results

At Rehire, we are partnering with an international technology company in the search for a Security Engineer to join a team working on cloud security, cybersecurity automation, and AI-driven security operations.

We are looking for a professional with experience in cloud security, threat detection, vulnerability management, and DevSecOps, who is interested in working with AI-powered security tools and automation-first practices.

The position offers the opportunity to participate in international security initiatives, collaborate with senior engineers and architects, and contribute to the development and improvement of modern security environments.

Responsibilities

  • Support security operations and incident response activities using AI-assisted detection, correlation, and root-cause analysis tools.
  • Monitor and support AI-powered security agents focused on vulnerability scanning, threat intelligence, and vendor risk.
  • Analyze vulnerability scan results and assist with risk-based prioritization.
  • Support security assessments involving
  • SAST, SCA, EASM, and container scanning
  • Monitor cloud security posture and identify potential risks through security dashboards and monitoring tools.
  • Assist in monitoring and optimizing

Web Application Firewall (WAF)

  • policies.
  • Participate in security architecture reviews and automated threat modeling activities.
  • Support AI governance initiatives, including identifying risks related to prompt injection, authorization, and secrets exposure.

Collaborate on implementing security controls within CI/CD pipelines

  • Assist with secret scanning, dependency checks, and secure development practices.
  • Track security findings, remediation actions, and incident documentation.
  • Collaborate with SRE, DevOps, and Security teams to improve security processes and automation.
  • Contribute to continuous improvement initiatives involving AI-driven security workflows.

Requirements

  • 5–9 years of experience
  • in Cloud Security, IT Security, Cybersecurity Engineering, or related roles.
  • Knowledge of
  • cloud security, application security, and infrastructure security
  • Experience or exposure to vulnerability management and risk-based prioritization.
  • SIEM, logging, monitoring, and observability tools
  • Knowledge of threat detection and incident response processes.
  • Understanding of
  • WAF, network security, IDS/IPS, and access controls
  • Experience or exposure to
  • DevSecOps practices and CI/CD pipelines
  • Familiarity with application security testing tools and methodologies.
  • Basic understanding of
  • SAST, DAST, SCA, and container security
  • Experience or exposure to security automation and scripting using

Python, Bash, or similar languages

  • Familiarity with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation
  • Understanding of cloud security posture management (CSPM).
  • Knowledge of security frameworks and compliance standards such as SOC 2, PCI-DSS, SOX, or HIPAA
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to collaborate effectively with international technical teams.
  • Proactive mindset and interest in AI-powered cybersecurity solutions.
  • EDR, XDR, NDR, SOAR, or UEBA solutions.
  • Exposure to AI-driven threat detection and security automation.
  • Knowledge of Zero Trust Architecture.
  • Experience with cloud-native security monitoring tools.
  • certification.
  • AWS Cloud Practitioner or Associate-level cloud security certification.
  • Experience applying AI/ML technologies to cybersecurity operations.

Preferred

  • Exposure to penetration testing or threat modeling.

Benefits

  • 100% Remote.
  • Collaboration with senior engineers, architects, and distributed technical teams.

Familiarity with

  • AI agents, Agentic AI, and AI governance frameworks
  • CompTIA Security+

Location

Mexico.

Engagement Type

Contractor.

Contract Duration

  • 12 months.
  • Opportunity to work on international cloud security and AI-driven cybersecurity initiatives.
  • Exposure to AI security agents, security automation, and modern cloud environments.
  • If you meet the requirements and are interested in this exciting opportunity, apply at www.rehire.ar/jobs and send us your CV!