Build the Future of Intelligent Defense at arrivia

At

arrivia , we specialize in making brands better through the power of travel, combining decades of experience with a constant drive for technology innovation. While our physical offices span the globe, we are looking for a highly skilled, remote-first engineer to join our team.

This specific role is a fully remote opportunity based within Mexico.

This role sits at the intersection of machine learning, cybersecurity, and full-stack engineering. You won't just be monitoring dashboards; you’ll be architecting intelligent defenses that keep our members and data safe from evolving digital threats by building high-scale, real-time security systems.

The Opportunity

As a core member of our IT Operations team, reporting to the Security Ops Lead, you will design, build, and deploy AI-driven systems that detect and neutralize fraud, abuse, and intrusion. You will have the opportunity to apply anomaly detection, graph analysis, and NLP to real-world security challenges, ensuring our "customer-first" culture is backed by reliable, high-performance safety measures.

What You’ll Do

Design & Architect:

Implement and scale AI/ML models to proactively detect, prevent, and respond to security threats such as identity risk, fraud, malware, and insider anomalies.

System Reliability:

Build and maintain robust data ingestion, feature engineering, and real-time streaming pipelines (e.g., utilizing SQL/NoSQL databases and messaging frameworks like Kafka) to process high volumes of security events.

Deploy Microservices:





Integrate AI security models directly into production workflows by developing high-performance, low-latency APIs and microservices (using frameworks like FastAPI, Flask, or Django).

Adversarial Research:

Analyze adversarial attacks, threat modeling, and secure model design to adapt our defenses under evolving threat scenarios.

Automated Response:

Enhance automated incident response, accelerating remediation workflows to significantly reduce manual threat investigation cycles.

Collaborative Impact:

Partner with DevSecOps and Platform teams to build MLOps pipelines and embed AI-driven protections directly into containerized environments (Docker/Kubernetes).

Who You Are

Skilled in Modern Tech:

You have a solid foundation in Python, SQL, and ML frameworks like PyTorch, TensorFlow, or scikit-learn.

Experienced with Distributed Systems:

You are comfortable working with large-scale data systems, stream processing, and containerized deployments using AWS, Docker, and Kubernetes.

Security Focused:

You bring a strong background in cybersecurity, fraud detection, trust & safety, or threat intelligence, alongside a deep understanding of secure system design and OWASP principles.

API & Backend Specialist:





You have proven experience designing robust, scalable microservices capable of handling strict latency and reliability constraints.

Analytical Problem-Solver:

You can effectively balance the trade-offs between rigorous security, high system performance, and a positive user experience.

Growth Mindset:

You enjoy staying up-to-date with secure AI frameworks (such as ISO/IEC 42001 or OWASP) and exploring advanced methods like time-series anomaly detection and graph analysis.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (Master's preferred).

5+ years of software engineering experience, with a heavy focus on backend architecture, API design, and distributed systems.

3+ years of experience in cybersecurity, fraud detection, trust & safety, or abuse prevention.

2+ years of hands-on experience building and deploying machine learning models in a production environment.

High proficiency in English with strong collaboration and communication skills.

Must be based in Mexico and available to work remotely.

Why Join arrivia?

At

arrivia , we Stay Curious, Keep it Real, and Win Together. We offer a collaborative, inclusive environment where your work directly impacts how millions of people experience the world.

If you are ready to apply your AI and security expertise to a integral mission from the comfort of your home office in Mexico, we’d love to hear from you.

Apply today and help us take charge of change.

📌 AI Security Engineer (Ciudad de México)
🏢 arrivia. Go far in the travel industry.
📍 Ciudad de México