About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a integral leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software &

- Platforms, Life Sciences and Healthcare, Retail, CPG, financial services, and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of life for our family, customers, partners, and the community.

We live by passion, integrity, boldness and empathy

About The Role

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.

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

- Contract Duration: 12 Months.
- Payment per hour: 22 USD
- Location: Guadalajara, Mexico.
- Work Arrangement: 100% Onsite. Guadalajara, Jalisco.
- Schedule: Monday to Friday.

Why join us? As a Google Cloud Premier Partner and a global leader in data-driven digital transformation, CLOUDSUFI offers you the unique opportunity to work with next-generation cybersecurity capabilities in a live environment where AI is already fully embedded operationally. We are a passionate, diverse, and equal-opportunity team driven by the core values of integrity, empathy, passion, and boldness, all aimed at elevating the quality of life for our community, customers, and partners. If you are ready to grow your career in an inclusive environment that champions both human values and cutting-edge automation, APPLY NOW!

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