20 publicaciones de empleo destacadas de ai systems engineering expert en ciudad de méxico, dif (¡Están contratando!)

Kubernetes DevOps Specialist
Arcadion —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Postulación rápida
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- Tiempo completo
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- Informática
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- Tiempo completo
- Azure
- Informática
- Licenciatura
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Amazon Web Services Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- Licenciatura
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Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en bases de datos
- Licenciatura
Modernization Solution Architect (Cloud/Infrastructure)
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Experiencia en ventas
- DevOps
1d
NOC Engineer
Megaport —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Administración de personal
- Servicio al cliente
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group —Ciudad de México
- Tiempo completo
- Azure
- Administración de personal
- Inglés
Technical Support Specialist
Motive —Ciudad de México, CDMX
- Administración de personal
- Salesforce
- Inglés
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group —Ciudad de México
- Tiempo completo
- Oracle
- Informática
- Salesforce
Agentic AI Solutions Architect - Remote, Latin America
Bluelight Consulting —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
RPA Developer (UiPath)- Latin America- Remote
Azumo —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- DevOps
- ERP systems
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
4d
Requirement Engineer, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Desarrollo de software
Partner Marketing Strategy & Operations Senior Analyst
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Mercadotecnia
- Salesforce
- SQL
Senior Software Engineer
Helix —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
Principal Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Software Development Advisor
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
Lead Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Document Control Specialist - IPP
ON.energy —Ciudad de México, CDMX
- Administración de personal
- SharePoint
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Principal Engineer, Critical Support
QAD, Inc. —Ciudad de México, CDMX
- Incluye fines de semana
- Home Office (Desde casa)
- Oracle
- Informática
- ERP systems
Postulación rápida

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Kubernetes DevOps Specialist

Arcadion -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Hace 11 días

Cualificaciones

Azure
Node.js
Kubernetes
DevOps
openSUSE
Google Cloud Platform
MongoDB
Experiencia en bases de datos
Docker
Debian
PostgreSQL
Ubuntu
DNS
Linux
Gestión de identidades y accesos

Descripción completa del empleo

About Arcadion

Arcadion is a Canadian innovation company focused on enterprise-grade cloud infrastructure, AI systems integration, cybersecurity, and next-generation managed services. Our engineering culture is driven by automation, zero-trust principles, and deeply integrated platform design. We build and support mission-critical environments for businesses across Canada, the U.S., and globally.

We are expanding our Cloud & Infrastructure division and are looking for a Kubernetes DevOps Specialist to join our team of senior engineers responsible for designing, deploying, and optimizing complex containerized workloads across private and public cloud environments.

Position Overview

The Kubernetes DevOps Specialist will architect, deploy, automate, and maintain Kubernetes-based platforms across Arcadion’s datacenters and client hybrid cloud environments. You will work closely with our cloud, security, SRE, and AI engineering teams to ensure scalable, secure, resilient, and observable infrastructure.

This role requires deep technical expertise, strong problem-solving skills, and the ability to design production-ready systems that meet the highest standards of reliability, performance, and security.

Key Responsibilities

Kubernetes & Cloud Architecture

Design and deploy Kubernetes clusters (K8s, K3s, OpenShift, Rancher, Harvester, etc.) in private cloud, multi-cloud, and hybrid environments.
Implement service mesh technologies (Istio, Linkerd) and container networking (CNI, Calico, Cilium).
Manage Helm charts, Kustomize configs, cluster lifecycle (GitOps), and automated deployment workflows.

DevOps & Automation

Build CI/CD pipelines (GitLab, GitHub Actions, ArgoCD, Tekton) for containerized applications.
Automate infrastructure deployments using IaC (Terraform, Ansible, Pulumi).
Implement infrastructure observability using Prometheus, Grafana, Loki, ELK/EFK, Jaeger, etc.

Security & Compliance

Enforce zero-trust design patterns and secure cluster configuration (CIS Benchmarks, NIST frameworks).
Integrate container security scanning, runtime protection, and secret management (Vault, Sealed Secrets, SOPS).
Work with Arcadion’s SOC and security teams to ensure compliance and threat monitoring for all cluster workloads.

Operations & Reliability

Manage cluster upgrades, patching, node scaling, and backup/restore operations.
Improve reliability, performance tuning, workload scheduling, and cost optimization.
Support production workloads, troubleshoot distributed systems, and participate in on-call rotations.

Required Skills & Experience

5+ years of experience in DevOps, SRE, platform engineering, or cloud infrastructure roles.
Expert-level understanding of Kubernetes (CKA / CKAD / CKS certifications highly preferred).
Strong experience with Docker, container architecture, registries, and image pipelines.
Hands-on experience with Terraform, Ansible, GitOps frameworks, and declarative infrastructure.
Strong command of Linux systems (Ubuntu, RHEL, SUSE, Debian).
Deep knowledge of cloud platforms: Azure, AWS, GCP, or OpenStack.
Experience with load balancers, ingress controllers, networking, DNS, TLS, and certificate automation.
Solid understanding of DevSecOps, RBAC, IAM, OPA/Gatekeeper, and compliance practices.

Nice-to-Have

Experience with VMware Tanzu, Nutanix Karbon, SUSE Rancher/Harvester, or Red Hat OpenShift.
Knowledge of HPC and GPU workloads, NVIDIA GPU Operator, MIG slicing, or AI/ML pipelines.
Experience with distributed databases (MongoDB, CockroachDB, PostgreSQL HA).
Familiarity with backup platforms (Velero, Kasten) and DR orchestration.
Exposure to Arcadion-aligned technologies: CrowdStrike, Acronis, Fortinet, Veeam, Dell/HPE hardware.

Who You Are

A builder, innovator, and continuous learner.
Someone who thrives in high-autonomy engineering cultures.
Comfortable with complex systems and elegant automation.
Security-driven and detail-oriented.
Able to work independently and collaborate tightly with global teams.

What We Offer

Competitive compensation aligned with senior engineering roles.
Remote-first flexibility with optional access to Arcadion offices.
Cutting-edge projects involving Kubernetes, AI/ML, HPC, and zero-trust cloud architecture.
Access to training, certifications, and continuous learning opportunities.
A culture focused on innovation, engineering excellence, and career growth.

Postulación rápida

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