Job Title: SSE- Security Engineer

Contract Duration: 12 Months

Location: Colonia Country Club, C.P. 44610, Guadalajara, Jalisco, M xico.

Work Arrangement: 100% Onsite
Work Schedule: 5 days per week. Remote work is not available.

Role Summary

This role sits within the company's live engagement where AI is already embedded operationally across reliability and security-not a future aspiration. The team runs an AI co-pilot spanning multiple platforms, a set of purpose-built AI security sub-agents, and a formal AI governance program that assesses the company's own internal AI agents for risk. As a Junior Security Engineer, you will work under the guidance of senior engineers and architects to support, operate, and learn from this AI-driven program.

Responsibilities - AI-Driven Initiatives

1. AI-Augmented Security Operations & Incident Response

- Support incident response activities by using AI-driven detection, correlation, and root-cause analysis tools under the guidance of senior engineers to speed up triage.
- Help operate and monitor existing AI security sub-agents (covering areas such as vulnerability scanning, threat intel, and vendor risk), flagging anomalies or failures for senior review.
- Assist in documenting and following up on AI-assisted incident findings, including tracking remediation actions through to closure.

2. AI-Driven Threat & Vulnerability Prioritization

- Assist in triaging vulnerability scan results using risk-based prioritization supported by intelligent vulnerability analysis tooling (SAST/SCA, EASM, container scanning).
- Support cloud security posture reviews by using predictive analytics and intelligent monitoring dashboards, escalating notable trends to senior team members.

3. AI-Augmented Perimeter, WAF & Anomaly Detection

- Help monitor and tune WAF policies using behavioral analytics and anomaly detection dashboards, under supervision, and learn to interpret traffic pattern alerts.

4. AI Governance, Risk & Threat Modeling (Learning Track)

- Participate in architecture and design reviews that use automated threat modeling tools, learning how AI-agent risk (e.g., prompt injection, authorization gaps, secrets exposure) is assessed and documented.
- Assist in tracking action items from the AI-risk remediation roadmap and help prepare status updates for stakeholders.

5. AI-Enabled DevSecOps & CI/CD





- Support the implementation of security controls within CI/CD pipelines, learning automation-first and AI-augmented approaches and shift-left practices from senior engineers.
- Help integrate basic AI-assisted checks (e.g., secret-scanning, dependency checks) into the development lifecycle.

6. AI-Enabled Program & Workflow Support

- Support multiple concurrent security initiatives using AI-enabled workflow and tracking tools shared across SRE and Security teams.
- Help promote a security-first culture by learning and sharing data-driven, AI-backed security practices with the wider team.

Security Capabilities

- Foundational knowledge of container, application, and cloud security concepts, with interest in automated risk detection tooling.
- Exposure to static and dynamic application security testing tools, including basic code analysis.
- Basic understanding of API and web/mobile application security testing concepts.
- Interest in penetration testing and threat assessment fundamentals; willingness to learn AI-assisted reconnaissance techniques.
- Familiarity with threat detection and response concepts, including behavioral analytics and anomaly-based detection.
- Some hands-on exposure to security automation or scripting (Python, Bash, or similar).
- Basic exposure to cloud security posture management (CSPM) and continuous monitoring concepts.
- Interest in observability and monitoring, and a willingness to learn predictive analytics and anomaly detection.

About You

- 5 9 years of experience in cloud security, IT security, or a related engineering role, with an eagerness to build deeper expertise in infrastructure as code.
- Some exposure to cloud-native logging and monitoring tools; interest in AI-driven alerting and noise reduction.
- Basic familiarity with WAF concepts and a willingness to learn adaptive rule tuning.
- Coursework or hands-on exposure to security monitoring and observability platforms.




- Exposure to CI/CD pipelines and interest in integrating security controls and shift-left practices.
- Basic understanding of vulnerability management concepts and risk-based prioritization.
- Awareness of common compliance frameworks (PCI-DSS, SOC2, SOX, HIPAA).
- Beginner-to-intermediate familiarity with Infrastructure as Code tools (Terraform, Ansible, or CloudFormation).
- Willingness to learn incident management processes, including AI-assisted triaging.
- Strong analytical and problem-solving skills, with curiosity to assess simple architectures for vulnerabilities under senior guidance.
- Interest in learning how security policies, standards, and governance frameworks are developed and maintained, including for AI-agent usage.

Core Competencies

Working knowledge of, or strong willingness to learn, several of the following domains:

- Security Automation and AI Integration
- Threat Detection and Response (EDR/XDR/NDR)
- SIEM, Logging, and Observability basics
- UEBA and Predictive Threat Analytics (exposure)
- SOAR and automated incident response (exposure)
- Vulnerability Management fundamentals
- Identity Security basics
- Application Security and WAF fundamentals
- DevSecOps and Secure SDLC
- Cloud Security (IaaS/SaaS) fundamentals
- Zero Trust Architecture concepts
- Network Security basics (IDS/IPS, segmentation, access controls)
- Incident Response fundamentals
- AI Agent Risk & Governance basics (authorization models, prompt-injection risk, secrets exposure in AI tool configs)

Preferred Certifications

- AWS Cloud Practitioner / Associate-level cloud security certification (preferred, not required)
- CompTIA Security+ or equivalent entry-level security certification
- Exposure to AI/ML applications in cybersecurity is a plus

What Sets You Apart

- Strong curiosity and eagerness toward AI-first and automation-first security practices.
- Willingness to learn intelligent assistants and AI-driven decision systems used in security workflows, and to develop an understanding of the risks those systems introduce.
- A proactive, self-driven learning attitude and ability to grow through data-driven security insights.
- Genuine interest in next-generation cybersecurity capabilities using AI and automation.

Skills

- AI Engineering
- Agentic AI
- DEVSECOPS
- INFOSEC

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📌 Sse- Security Engineer (Centro)
🏢 Kutir Technologies
📍 Centro