20 publicaciones de empleo destacadas de ai devops en cuauhtémoc cdmx (¡Están contratando!)

Senior Software Developer
GBS Group —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Inglés
Postulación rápida
Senior Full Stack Engineer (Python/React)
Forager —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Sin título de educación superior
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Software Development Engineer - Fullstack/React
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- JavaScript
- Seguro de vida
13d
Application Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- DevOps
- Java
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
IT Infrastructure Engineer
Sterlington, PLLC —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
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
Data & Reporting Application Engineer
DXC Technology —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Full Stack Developer
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Regional Change Specialist
HSBC Global Services Limited —Azcapotzalco, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- DevOps
DevSecOps Engineer
ThetaRay —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
OpenShift Platform Administrator
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Inglés
- Mejora continua
ESPECIALISTA SR INTELIGENCIA ARTIF E INN
Grupo Financiero Banorte —Ciudad de México, CDMX
- Azure
- DevOps
- Ingeniería
QA Test Manager
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
Senior Dev Ops Engineer
Peek —Ciudad de México, CDMX
- $950,000 a $1,300,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Software Developer, Senior
Qualcomm —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
Ruby on Rails - Sr. Lead Software Engineer - 11470
Coupa —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Business System Analyst - Remote Job.
Bertoni Solutions —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
Senior Dynamics 365 CRM Developer
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Servicio al cliente
- DevOps
Postulación rápida
Senior Software Engineer II
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Maestría
2d

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Senior Software Developer

GBS Group -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Administración de personal
Ingeniería de software
Plurilingüe
DevOps
Cifrado
Inglés
Seguridad
Debugging

Descripción completa del empleo

Location: Remote - Anywhere in LATAM
Job Type: Full-Time - Independent Contractor
Compensation: USD

To be considered for this position, you must have an advanced level of English & Spanish

At GBS Group, we help entrepreneurs and executives start, run, and manage their businesses in the United States through Start-Up Services, Financial & Tax Advisory, and operational support solutions. As we continue scaling our internal capabilities, we are investing heavily in automation, AI-driven workflows, and internal platforms that improve how we operate, deliver, and scale. We are building a high-leverage internal systems layer powered by automation and AI—and this role is critical to that effort.

This role owns the design, development, deployment, security, and maintenance of internal tools, automation systems, and AI-driven workflows. It combines internal product development, platform engineering, DevOps, and applied AI systems to improve operational efficiency and scale business processes. You will also be responsible for the security, reliability, and integrity of these systems, ensuring safe handling of data, access, and system interactions across all automation and AI workflows.

This is a high-ownership, builder role for someone who thinks beyond code and focuses on driving real business impact through systems.

Key Responsibilities

Internal Tools & Platforms

Build and evolve internal tools that support core business operations
Design systems that improve operational efficiency and scalability
Treat internal tools as products with long-term ownership

Automation & System Orchestration

Design and implement automation across workflows, systems, and data pipelines
Connect APIs, third-party tools, and internal systems into cohesive workflows
Continuously identify and execute high-impact automation opportunities

AI Systems & Workflows

Integrate AI tools, copilots, and agent-based processes into day-to-day operations
Design and manage AI-driven workflows that are reliable and production-ready
Establish guardrails for AI usage (data exposure, prompt injection risks, etc.)

Infrastructure, DevOps & Reliability

Own CI/CD pipelines, deployment processes, and environment management
Maintain infrastructure reliability, monitoring, and observability
Troubleshoot system failures, integration issues, and performance bottlenecks

Security & System Integrity

Implement and maintain security best practices across internal tools and AI workflows
Manage authentication, authorization, and access controls (RBAC, secrets, API keys)
Ensure secure handling of sensitive data across integrations and AI systems
Monitor for vulnerabilities, misconfigurations, and potential abuse
Protect systems against risks specific to AI-enabled environments

Cross-Functional Impact

Work closely with operations and leadership to translate business needs into systems
Improve how teams operate by reducing manual work and increasing leverage

What Makes Someone Successful Here

Thinks like a product builder, not just a developer
Comfortable owning systems end-to-end (build deploy maintain improve)
Strong at debugging messy, real-world system issues
Understands tradeoffs between speed (AI-assisted builds) and reliability
Focused on business outcomes, not just technical elegance
Proactively identifies opportunities to improve systems and processes

Requirements & Qualifications

5+ years of experience in software engineering, platform engineering, or similar roles
Proven experience building and maintaining internal tools, automation systems, or operational platforms
Strong backend and system design fundamentals, with the ability to design scalable, reliable systems
Experience with API integrations and system orchestration, connecting multiple tools and services into cohesive workflows
Practical experience with CI/CD pipelines, deployment workflows, and infrastructure management
Familiarity with observability, logging, and monitoring systems to ensure reliability and performance
Strong experience designing and implementing workflow automation and system optimization
Ability to analyze processes and identify opportunities to improve operational efficiency
Hands-on experience working with AI tools in production environments, including LLMs, agents, or automation platforms
Ability to integrate AI into real business workflows with sound judgment
Understanding of agent-based systems and orchestration patterns
Solid understanding of security fundamentals, including authentication, authorization, encryption, and secrets management
Experience with secure API design and integration practices
Familiarity with common vulnerabilities (OWASP mindset) and ability to identify risks
Understanding of AI-specific security risks, such as data leakage, prompt injection, and over-permissioned agents
Strong debugging and troubleshooting skills across applications, infrastructure, and integrations
Ability to navigate and resolve complex, real-world system issues
Strong understanding of system reliability, performance, and operational excellence
Ability to operate independently with high ownership and accountability

Nice to Have

Experience designing AI-powered internal platforms or automation layers
Experience with agent-based systems or workflow orchestration tools
Familiarity with cloud platforms and containerized environments
Background in scaling internal systems in fast-growing companies

What We Offer You

Competitive compensation based on experience and impact
High-autonomy environment with strong ownership expectations
The opportunity to shape how GBS builds automation-first and AI-native systems
Flexible time off and company-wide holidays
Direct impact on business efficiency and scalability
A role focused on building systems that matter, not just shipping code

Postulación rápida

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ai devops empleos en cuauhtémoc cdmx

Senior Software Developer

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Senior Software Development Engineer - Fullstack/React

Application Engineer II, Mexico City (MX)

Data Engineer - Databricks

IT Infrastructure Engineer

Senior Software Engineer (Fullstack) - Mexico City

Data & Reporting Application Engineer

Full Stack Developer

Regional Change Specialist

DevSecOps Engineer

OpenShift Platform Administrator

ESPECIALISTA SR INTELIGENCIA ARTIF E INN

QA Test Manager

Senior Dev Ops Engineer

Software Developer, Senior

Ruby on Rails - Sr. Lead Software Engineer - 11470

Business System Analyst - Remote Job.

Senior Dynamics 365 CRM Developer

Senior Software Engineer II

Quiero recibir la alerta de empleo más reciente para ai devops en cuauhtémoc cdmx

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