20 publicaciones de empleo destacadas de agentic data systems engineer en tlalpan, dif (¡Están contratando!)

Site Reliability Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
14d
Senior Software Engineer | Remote | AI SaaS Software Role
Process Street —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
- Java
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de la vista
Postulación rápida
DevSecOps Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- Linux
9d
Senior Product Manager, AI
Aplazo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Administración de personal
- Inglés
Postulación rápida
Senior Python Engineer (Contract)
Tech Holding —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
Director, Growth Engineering
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- Presencial
- Liderazgo
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Lead AI Forward Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
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 Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Java
- JavaScript
- Disponible para viajar
Principal, Account SE
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Inglés
- Java
3d
Lead AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Python
Senior Engineer - Performance Engineering
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
14d
Cash Equities Software Engineering - Manager
HSBC Global Services Limited —Azcapotzalco, CDMX
- Tiempo completo
- Administración de personal
- Mantenimiento
- Java
AI Engineer - iOS
Luxoft —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Habilidades de comunicación
Salesforce Developer Junior (AMTS)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Desarrollo de software
Software Engineer | AI Focus
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Salesforce
Senior Manager - Performance Engineering
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
14d
Success Architect - Service Cloud
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Inglés
- Permiso de maternidad y paternidad
Quality Assurance Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Licenciatura

Quiero recibir la alerta de empleo más reciente para agentic data systems engineer en tlalpan, dif

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Site Reliability Engineer

Levi Strauss & Co. -
Centro (Área 1), CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 14 días

Cualificaciones

Azure
Go
Administración de personal
Derecho
Informática
Ingeniería de software
Kubernetes
DevOps
Cifrado
Google Cloud Platform
Herramientas de automatización
E-commerce
Bash
Respuesta a incidentes
Licenciatura
Gestión de venta al por menor
Python
Shell Scripting
Gestión de identidades y accesos

Descripción completa del empleo

Job Location: Mexico City, Mexico

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.

We're seeking a curious and driven Site Reliability Engineer to join our Data & AI Platform Engineering team. In this role, you'll help keep our data and AI platforms running reliably, efficiently, and securely — platforms that power decisions across our global retail operations.

You'll work alongside experienced SREs and engineers to monitor production systems, respond to incidents, reduce operational toil, and build the automation that makes our infrastructure more resilient. This is an excellent opportunity to grow your SRE craft in a fast-paced, collaborative environment on Google Cloud Platform, with exposure to multi-cloud technologies and modern data engineering.

About the Job

Reliability & Incident Response

Monitor production systems using observability tooling — dashboards, alerts, and logs — to detect and triage issues before they impact end users

Participate in on-call rotations, respond to incidents following established runbooks, and escalate appropriately when needed

Contribute to blameless post-mortems, documenting root causes and follow-up action items to prevent recurrence

Help maintain and improve SLO dashboards and alerting thresholds to ensure platform health is visible and measurable

Toil Reduction & Automation

Identify repetitive manual tasks and build automation to eliminate them, reducing toil for yourself and the broader team

Write and maintain scripts, tooling, and CI/CD pipeline components that improve deployment reliability and operational efficiency

Support self-serve infrastructure initiatives that allow engineering teams to safely provision and manage their own resources

Platform Operations & Cloud Infrastructure

Operate and maintain workloads running on GCP — including GKE, Cloud Run, BigQuery, Pub/Sub, GCS, and Composer

Apply Infrastructure-as-Code practices (Terraform, Helm) to consistently and safely manage and version infrastructure changes

Support multi-cloud awareness across GCP and Azure, following team standards for consistency and security across environments

Adhere to data security and governance policies — IAM best practices, secrets management, encryption, and audit logging

Collaboration & Growth

Work closely with Data Engineering, AI Platform, and Software Engineering teams to ensure reliability is considered from design through deployment

Participate in reliability reviews, design discussions, and team ceremonies, contributing ideas and raising operational concerns early

Engage with AI and agentic platform workloads, gaining exposure to the operational patterns of LLM-based systems and data pipelines

Continuously develop your technical skills and SRE craft, supported by team knowledge-sharing, documentation, and hands-on experience

About You

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)

6+ years of experience in Site Reliability Engineering, DevOps, or Platform/Infrastructure Engineering in production environments

Hands-on experience with GCP services — particularly GKE, Cloud Run, BigQuery, Pub/Sub, and GCS

Working proficiency with Infrastructure-as-Code tools such as Terraform or Helm

Familiarity with observability tooling — metrics, logging, tracing, and alerting (e.g., Cloud Monitoring, Datadog, or Prometheus/Grafana)

Understanding of SLO/SLI concepts and how they relate to production reliability and on-call operations

Exposure to data security fundamentals: IAM, encryption, secrets management, and network policies

Proficiency in at least one scripting or systems language (Python, Bash, or Go) for automation and operational tooling

Strong communication skills with the ability to clearly document incidents, runbooks, and technical processes

Technical Familiarity

Experience with container orchestration — Kubernetes or GKE — and the operational patterns around deploying and managing containerized workloads

Basic understanding of CI/CD pipelines and GitOps workflows (ArgoCD, GitHub Actions, or similar)

Comfort working with data platforms — familiarity with batch or streaming data pipelines is a plus

Awareness of multi-cloud concepts, particularly across GCP and Azure

Desirable Experience

Experience working in retail, e-commerce, or consumer goods environments

Familiarity with Google's SRE principles — error budgets, toil tracking, and production readiness reviews

Exposure to AI or ML platform operations, including monitoring model serving infrastructure

Experience with FinOps or cloud cost visibility tooling

Why Join Us?

If you're an engineer who is passionate about reliability, loves solving operational problems, and wants to grow your SRE craft at a global iconic brand, we'd love to hear from you.

LOCATION

Mexico, D.F., Mexico

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.

Postulación rápida

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Current LS&Co Employees, apply via your Workday account.

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