Cloud and AI Security Engineer (Ciudad de México)

Cloud and AI Security Engineer (Ciudad de México)

22 oct
|
Bloom Digitals
|
Ciudad de México

22 oct

Bloom Digitals

Ciudad de México

This position is a Junior Security Engineer role operating within CLOUDSUFI's live engagement, where AI is actively embedded across reliability and security operations. The team utilizes an AI co-pilot, specialized AI security sub-agents, and a formal AI governance program that assesses internal AI agents for risk. You will work under the guidance of senior engineers and architects to support, operate, and learn from this AI-driven program.

About the roleThis position is a Junior Security Engineer role operating within CLOUDSUFI's live engagement, where AI is actively embedded across reliability and security operations. The team utilizes an AI co-pilot, specialized AI security sub-agents, and a formal AI governance program that assesses internal AI agents for risk. You will work under the guidance of senior engineers and architects to support, operate, and learn from this AI-driven program.

Key Responsibilities

Incident Response:

Support incident response activities by using AI-driven detection, correlation, and root-cause analysis tools to accelerate triage under senior guidance.

Sub-Agent Monitoring:

Help operate and monitor existing AI security sub-agents related to vulnerability scanning, threat intelligence, and vendor risk, ensuring anomalies are flagged for senior review.

Vulnerability Prioritization:

Assist in triaging vulnerability scan results using risk-based prioritization supported by intelligent tooling, such as SAST/SCA, EASM, and container scanning.

Threat Detection & WAF:

Support cloud security posture reviews using predictive analytics and help monitor and tune WAF policies using behavioral analytics and anomaly detection.

AI Governance & Risk:

Participate in architecture and design reviews using automated threat modeling tools to learn how AI-agent risks, such as prompt injection and secrets exposure, are assessed and documented.

DevSecOps Integration:

Support the implementation of security controls within CI/CD pipelines,



learning automation-first approaches and helping integrate basic AI-assisted checks like secret-scanning.

Workflow Support:

Support concurrent security initiatives using AI-enabled workflow tools and help promote a data-driven, security-first culture.

Key Requirements

English:

Professional proficiency in verbal and written English communication.

Experience:

+5 years of experience in cloud security.

Core Security Knowledge:

Foundational knowledge of container, application, and cloud security concepts, alongside a basic understanding of API and web/mobile application security testing.

AppSec Testing:

Exposure to static and dynamic application security testing tools, including basic code analysis.

Scripting & Automation:

Hands-on exposure to security automation or scripting languages such as Python, Bash, or similar.

Infrastructure & CI/CD:

Beginner-to-intermediate familiarity with Infrastructure as Code tools like Terraform, Ansible, or CloudFormation, and exposure to CI/CD pipelines.

Compliance Awareness:

Familiarity with common compliance frameworks including PCI-DSS, SOC 2, SOX, and HIPAA.

Competencies:

Working knowledge of Threat Detection and Response, SIEM, Vulnerability Management, Identity Security, DevSecOps, and Cloud Security fundamentals.

Desired skills

Certifications:

CompTIA Security+ or an equivalent entry-level certification, with an AWS Cloud Practitioner or Associate-level cloud security certification preferred.

AI/ML Exposure:

Exposure to AI/ML applications in cybersecurity is considered a plus.

Mindset:

Strong curiosity and eagerness toward AI-first and automation-first security practices, with a proactive, self-driven learning attitude.

Willingness to Learn:

Eagerness to build deeper expertise in infrastructure as code, intelligent assistants, AI-driven decision systems, predictive analytics, and adaptive WAF rule tuning.

Specialized Tags:

Expertise or interest in AI Engineering, Agentic AI, DEVSECOPS, and INFOSEC.

Working conditions

Location:

Guadalajara, Mexico.

Work Arrangement:

100% Onsite.

Schedule:

Monday to Friday.

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📌 Cloud and AI Security Engineer (Ciudad de México)
🏢 Bloom Digitals
📍 Ciudad de México

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