16 publicaciones de empleo destacadas de software engineer full stack engineer en cuauhtémoc, dif (¡Están contratando!)

Full Stack AI Engineer - Security
Arrivia, Inc. —Del Valle Centro, CDMX
- Informática
- Inglés
- Maestría
Postulación rápida
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Full Stack Developer
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
MEX - Full-Stack Developer
Tidal —Ciudad de México, CDMX
- $3,000 a $6,000 por mes
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- JavaScript
Postulación rápida
Senior System Administrator
Arcadion —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Inglés
Postulación rápida
Full Stack Engineer
Orion Innovation —Ciudad de México, CDMX
- Inglés
- Oficina
- Java
Postulación rápida
SOFTWARE ENGINEER IN TEST SENIOR
peoplemx —Gustavo A. Madero, CDMX
- $70,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- SQL
- Licenciatura
Postulación rápida
Software Engineer, Compilers, Runtimes and Toolchains, Early Career
Google —Ciudad de México, CDMX
- Inglés
- C++
- Licenciatura
Senior Software Engineer (Fullstack) - Mexico City
Snappr —Ciudad de México, CDMX
- $70,000 a $90,000 por año
- Tiempo completo
- Trabajo híbrido
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Full-Stack Developer / AI Specialist (Full-Time / On-Call)
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- JavaScript
Postulación rápida
Sr. Fullstack Engineer
Alcor —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Java
Postulación rápida
Engineering Manager
Smartly —Ciudad de México, CDMX
- Liderazgo
Postulación rápida
Engineer II
Correlation One —Ciudad de México, CDMX
- Home Office (Desde casa)
- Microsoft Outlook
- Java
- Experiencia en bases de datos
Site Reliability Engineering Lead
PepsiCo —Miguel Hidalgo, CDMX
- Azure
- Informática
- Java
Full-Stack Developer
Aviva Financiera —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- JavaScript
- Experiencia en manufactura
Postulación rápida
Senior Software Engineer (AI-Native) (Full-time Contractor)
Nerdy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Java
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida

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Full Stack AI Engineer - Security

Arrivia, Inc. -
Del Valle Centro, CDMX

Postulación rápida

Información del empleo

Cualificaciones

TensorFlow
Informática
Ingeniería de software
Kubernetes
PyTorch
NoSQL
Inglés
Sistemas de información
Maestría
SQL
Respuesta a incidentes
Docker
Licenciatura
NLP
Django
Seguridad
Kafka
Flask
Ciberseguridad
Habilidades de comunicación
Python

Descripción completa del empleo

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 global 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.

Postulación rápida

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software engineer full stack engineer empleos en cuauhtémoc, dif

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Quiero recibir la alerta de empleo más reciente para software engineer full stack engineer en cuauhtémoc, dif

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