Senior Security Engineer, Platforms & Ai

Jobgether; México; Remote; MXN 2,229,000 - 3,158,000; Full time

Benefits offered by this job

Remote-first

USD pay

PTO

US holidays

Maternity coverage

AI training

Career mentoring

Profit sharing

AI security exposure

Job summary

Jobgether in Mexico is seeking a Senior Security Engineer for Platforms & AI to own security of production AI systems and supporting infrastructure. You will guard cloud environments, APIs, CI/CD pipelines, and AI agents with defenses against prompt injection and data leakage.

You will work remotely with Latin American teams and clients, guiding vulnerability management, incident response, and security automation, and collaborating with engineers to bake in security early in development while

Qualifications

• 7+ years of hands-on security engineering experience across cloud, applications, and DevSecOps.
• Strong fundamentals in security testing, code review, CI/CD, Git, containers, and API design.
• Experience securing AI/LLM-powered systems and defending against prompt injection and data leakage.
• Proficiency with AWS security practices and cloud tooling.
• Clear communication with engineers and clients; professional English B2/C1.

Responsibilities

• Harden cloud infrastructure, APIs, internal tools, and CI/CD pipelines with strong IAM, encryption, and logging.
• Identify, prioritize, and remediate vulnerabilities in live production environments.
• Conduct vulnerability scanning, penetration testing, adversarial testing, and threat modeling.
• Design security controls for AI/agent systems to prevent unsafe outputs and data leakage.
• Own automated security and architecture audits, including defining checks and monitoring cadence.
• Establish monitoring, investigate anomalies, contain incidents, and perform root-cause analysis.
• Collaborate with engineers and clients to require security early in development lifecycles.
• Leverage AI-assisted tooling to enhance security and development workflows.

Skills

Security engineering

Cloud security

DevSecOps

Offensive security

Vulnerability management

Incident response

Threat modeling

AI/ML security

CI/CD security

Communication skills

Education

Bachelor's degree in Computer Science, Information Security, or related

Tools

AWS

Terraform

Bicep

Git

CI/CD tooling

Security tooling

Penetration testing tools

AI-assisted coding tools

Job description

Senior Security Engineer, Platforms & AI

Empresa: Jobgether

Tipo de empleo: Tiempo completo

Remote / Work from Home

Senior Security Engineer, Platforms & AI based in Mexico.

Descripción del trabajo - Senior Security Engineer, Platforms & AI

This is a senior, hands-on security engineering role focused on protecting production AI systems and the infrastructure that supports them. You will own the technical security posture across cloud infrastructure, APIs, CI/CD pipelines, applications, and AI-powered agents. The role combines platform security, vulnerability management, offensive security, monitoring, and incident response. You will also develop practical defenses against prompt injection, adversarial inputs, unsafe agent behavior, and data leakage. Working remotely with engineering teams and clients across Latin America, you will operate directly inside real production environments. The position offers significant technical ownership, exposure to modern AI tooling, and the opportunity to establish security controls that scale with rapidly evolving systems. Success in this role requires strong engineering fundamentals, sound security judgment, and the ability to communicate directly with both technical teams and clients.

Accountabilities

• Harden cloud infrastructure, APIs, internal tools, and CI/CD pipelines through effective encryption, secrets management, logging, identity, and access controls.
• Identify, assess, prioritize, and remediate vulnerabilities across production systems, ensuring issues are driven through to resolution rather than simply documented.
• Conduct vulnerability scanning, penetration testing, adversarial testing, threat modeling, manual security reviews, and related offensive security activities.
• Design and implement security controls for AI and agentic systems, including defenses against prompt injection, adversarial inputs, unauthorized actions, unsafe outputs, and data leakage.
• Own the ongoing automated security, cost, and architecture audit process, including defining checks, severity criteria, accuracy, and monitoring cadence.
• Establish monitoring and detection capabilities, investigate suspicious activity, lead incident containment and root-cause analysis, and implement preventative fixes.
• Work directly within client environments, repositories, tooling, and compliance processes while maintaining strong security practices and clear accountability.
• Collaborate closely with engineers and stakeholders to establish practical security requirements early in the development lifecycle and continuously improve the security posture of production systems.
• Use modern AI-assisted engineering tools as part of day-to-day security and development workflows.

Requirements

• 7+ years of hands-on experience in security engineering, infrastructure security, application security, DevSecOps, or offensive security.
• Strong engineering fundamentals, including experience with security testing, code review, CI/CD, Git, containers, and API design.
• Deep and current knowledge of AWS and the ability to apply cloud security principles effectively in production environments.
• Demonstrated experience identifying, investigating, and remediating vulnerabilities in live production systems.
• Hands-on experience securing AI or LLM-powered systems or automated agents, particularly around prompt injection, adversarial inputs, unauthorized actions, unsafe outputs, and data leakage.
• Active experience using AI-assisted coding and engineering tools such as Claude Code, Cursor, GitHub Copilot, or comparable solutions.
• Strong understanding of prompt-injection attacks, adversarial AI techniques, AI guardrails, and behavioral anomaly detection is highly valuable.
• Experience with cloud security tooling, SIEM and observability platforms, penetration testing tools, endpoint security, and infrastructure-as-code security using technologies such as Terraform or Bicep.
• Experience working under compliance frameworks such as SOC 2 or HIPAA is an advantage.
• Strong written and verbal communication skills, with the ability to explain technical findings clearly to engineers and communicate directly with clients.
• Professional English proficiency at approximately B2/C1 level or above.
• Bachelor’s degree in Computer Science, Information Security, or a related discipline, or equivalent professional experience.
• Experience in high-growth startups, fintech, banking, payments, or similarly demanding environments is a plus.
• Relevant certifications such as CISSP, CISM, AWS Security Specialty, or equivalent are advantageous.
• Contributions to open-source security projects, technical publications, or active involvement in the security community are welcome.

Benefits

• 100% remote-first work environment, with the ability to work from anywhere in Latin America.
• U.S. dollar-based remuneration.
• Paid time off (PTO).
• U.S. public holidays.
• Maternity coverage.
• AI training and certification opportunities.
• Mentored career development.
• Profit-sharing opportunities.
• Exposure to modern AI engineering, security technologies, and production-scale systems.