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

Principal Associate SRE
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
Lead Site Reliability Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
Salesforce Developer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Desarrollo de software
SDET (TESTER ) .Net Developer
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Experiencia en bases de datos
- Seguro de vida
Software Engineer II with Accounting Experience (Mexico)
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Full Stack Developer
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Data Management and BI Senior Executive, GOC
WPP Media —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Software Developer, Senior
Qualcomm —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
Senior Technical Account Manager, Mexico City
Wiz, Inc. —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Postulación rápida
14d
Senior AI Engineer – Python / FastAPI / GenAI
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $80,000 a $100,000 por mes
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
2d
Ingeniero de Software Senior – IA Generativa y Python
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $80,000 a $100,000 por mes
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
2d
Data Engineer GCP
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $80,000 a $100,000 por mes
- Tiempo completo
- Azure
- Oracle
- DevOps
Postulación rápida
2d
Ingeniero de Datos Senior – GCP
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $90,000 por mes
- Tiempo completo
- Azure
- Oracle
- DevOps
Postulación rápida
2d

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Principal Associate SRE

Capital One -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

TCP
Azure
Go
Kubernetes
DevOps
UNIX
Google Cloud Platform
Herramientas de automatización
Java
Bash
Respuesta a incidentes
Docker
Licenciatura
JavaScript
DNS
Servicios web
Servicios financieros
Linux
Python
Shell Scripting
Debugging

Descripción completa del empleo

WeWork Reforma Latino (97001), Mexico, Ciudad de Mexico, Ciudad de Mexico

Principal Associate SRE

We're building a Site Reliability Engineering center in Mexico City and hiring Principal Associate SREs to join one of our founding teams. You'll work on payment-critical systems across the Discover Network, Diners Club International, and PULSE - contributing to settlement reliability, alert quality, observability, and automation that directly impacts millions of transactions daily.

This is a ground-floor opportunity. You'll be part of the first cohort of engineers in CDMX, working alongside experienced SRE leaders to build the operational muscle that allows Mexico City to own reliability outcomes independently. Depending on team placement, you'll focus on one of the following areas:

Settlement - ensuring batch settlement cycles complete accurately, on time, and in compliance with regulatory requirements across domestic credit/debit and international cross-border networks
Alert Signal & Observability - reducing alert noise, building automated severity classification, and creating customer impact dashboards that make incident response faster and more decisive
Reliability Automation & Platform Convergence - building automated runbooks, driving Capital One platform adoption, and developing AI-powered remediation workflows

What You'll Do

Build and maintain reliability tooling - observability dashboards, automated alerts, runbooks, and remediation scripts that reduce toil and improve mean time to recovery
Develop automation solutions - using Python, Java, and shell scripting to eliminate manual operational processes, from certificate rotation to compliance artifact generation
Troubleshoot and debug complex production issues - diagnose failures across distributed systems spanning on-prem data centers and AWS, identify root causes, and implement durable fixes
Contribute to observability - configure and tune monitoring in Datadog and Observe, build dashboards that surface actionable signals, and reduce unactionable alert volume
Support incident response - participate in on-call rotations, respond to production incidents, drive diagnosis, and contribute to blameless postmortems
Leverage AI tools to accelerate engineering - use agentic AI automation (Claude Code and others) to develop solutions, generate runbook drafts, and build automation agents
Manage secrets and certificates - automate rotation and provisioning, ensuring security posture without manual toil
Deliver through CI/CD pipelines - build, test, and deploy automation via continuous integration and API automation frameworks

What Success Looks Like

Independently troubleshooting and resolving production issues within your domain without escalation
At least one operational process fully automated and running in production
Contributing measurably to team OKRs - whether that's alert noise reduction, MTTR improvement, or settlement cycle reliability
Producing or improving runbooks and dashboards that your teammates and partner teams actively use

The Environment

You'll work across hybrid on-prem and cloud infrastructure supporting real-time and batch financial transaction systems at global scale. The tech stack includes Python, Java, shell scripting, AWS, Kubernetes, OpenShift, CI/CD pipelines, and API automation frameworks. Observability runs on Datadog and Observe with extensive dashboard configuration. Secret management uses HashiCorp Vault. You'll use agentic AI tools (Claude Code and others) to develop automation solutions and accelerate your engineering output. The systems span three on-prem data centers and AWS, with both modern cloud-native services and legacy payment platforms. Strong troubleshooting and debugging skills are essential.

Basic Qualifications

Professional English fluency
Bachelor's degree
Background in SRE, production operations, or reliability engineering
At least 4 years of experience in DevOps Engineering (internship experience does not apply)
4+ years of experience in at least one of the following: Java, Python, Go
At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
2+ years of experience with container orchestration services including Docker or Kubernetes
Experience with Shell or Bash scripting
At least 2 years of Unix or Linux system administration experience

Preferred Qualifications

Experience developing automation solutions using agentic AI tools (Claude Code, Copilot CLI)
Troubleshooting and debugging skills across distributed systems
Familiarity with payments, financial services, or other regulated high-availability domains
Knowledge or experience of Networking concepts (TCP/DNS/TLS)

At Capital One, we respect individual differences in culture, religion, and ethnicity. Likewise, we promote equal opportunities and development for all personnel. In the hiring process, we seek to provide equal employment opportunities to candidates, regardless of race, color, religion, gender, sexual orientation, marital or civil status, national origin, disability, or any other situation protected by federal, state, or local laws.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, any position posted in the Philippines is for Capital One Service Corp (COPSSC), and any position posted in Mexico is for Capital One Technology Labs Mexico.

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ai devops engineer empleos en cuauhtémoc cdmx

Principal Associate SRE

Lead Site Reliability Engineer

Salesforce Developer

SDET (TESTER ) .Net Developer

Software Engineer II with Accounting Experience (Mexico)

Full Stack Developer

Data Management and BI Senior Executive, GOC

Software Developer, Senior

Senior Technical Account Manager, Mexico City

Senior AI Engineer – Python / FastAPI / GenAI

Ingeniero de Software Senior – IA Generativa y Python

Data Engineer GCP

Ingeniero de Datos Senior – GCP

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