This role has closed. Orion Innovation has taken the posting down.
hirly last saw it live on 25 September 2026. See similar open roles below, or browse the live board.
Orion Innovation
Cloud Deployment Engineer - HÍBRIDO CDMX
Mexico City, Mexico City, Mexico
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hirly's read of this role
- Seniority
- Mid level
- Country
- MX
- Work mode
- On-site / unstated
- First seen by hirly
- 19 Sept 2026
Derived automatically from the posting.
the posting
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Perfil: Desarrollador Cloud
Rol: Desarrollador
Experiencia
Años de experiencia:
3 o 5 años de experiencia como Desarrollador/a Cloud (Multi-Nube) con IA/ML y DevOps .
Escolaridad
Licenciatura o Ingeniería en: o Sistemas o Computación o Matemáticas o Física o Carrera afín
(O experiencia equivalente comprobable)
Modalidad y Condiciones de Trabajo
Modalidad de trabajo: Híbrido
Días en oficina: 2 veces por semana
Horario: Lunes a viernes, 9:00 a.m. a 6:00 p.m.
Ubicación: CDMX • Dirección de sede: Polanco / Reforma
Objetivo del Puesto
Diseñar, construir y operar aplicaciones y servicios escalables en entornos multi-nube (AWS, GCP) , integrando desarrollo backend, prácticas DevOps/MLOps e implementación de modelos de IA/ML en entornos productivos, asegurando calidad, seguridad, observabilidad y eficiencia operativa .
Certificaciones Recomendadas Google Cloud Platform
Google Professional Cloud Developer
Google Professional Machine Learning Engineer
Google Associate Cloud Engineer
Amazon Web Services (AWS)
AWS Certified Developer – Associate
AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
AWS DevOps Engineer – Professional (deseable para perfil SR)
Machine Learning
Google Professional Machine Learning Engineer
AWS Certified Machine Learning – Specialty
TensorFlow Developer Certificate
IBM AI Engineering Professional Certificate
Idioma
Inglés técnico (deseable)
Habilidades Blandas
Trabajo en equipo
Autogestión
Perfil autodidacta
Comunicación efectiva
Resolución de problemas
Adaptabilidad
Proactividad
Pensamiento analítico
Requisitos Técnicos Versionador e Integrador de Código
Git
GitHub Actions / GitLab CI
Cloud Build / Cloud Deploy (GCP)
CodeBuild / CodePipeline (AWS)
Lenguajes de Programación
Python
Node.js
TypeScript (deseable)
SQL
YAML (pipelines / Infraestructura como Código)
Sistemas Operativos
Linux (principal)
Windows
Manejadores de Bases de Datos
Cloud SQL
Amazon RDS
BigQuery
Bases de datos relacionales y analíticas
Almacenamiento de objetos: o Amazon S3 o Google Cloud Storage
Frameworks de Desarrollo Backend
Express
Fastify (Node.js) IA / ML
scikit-learn
TensorFlow / Keras
PyTorch
NLP
spaCy
NLTK
Hugging Face Transformers (deseable)
IDE
Visual Studio Code
IDEs compatibles con Python y Node.js
Herramientas
Docker
Kubernetes (GKE / EKS / AKS)
Helm
Terraform
MLflow / DVC
Postman (pruebas de APIs)
Prometheus / Grafana
OpenTelemetry
Plataformas Cloud
Google Cloud Platform (principal)
Amazon Web Services (deseable)
Asistentes de IA
No especificados explícitamente
(Uso implícito de frameworks y plataformas de IA/ML)
Conocimiento del Negocio Marcos o Metodologías de Trabajo
Metodología Ágil
Scrum
Herramientas para Seguimiento y Control de Proyectos • Gestión de backlog (herramientas ágiles no especificadas)
Métricas ágiles: o Velocity o Lead Time
Tableros de observabilidad
Definición y seguimiento de SLO / SLI
Industria
Banca / Servicios Financieros
Tecnología
Cloud Computing
Inteligencia Artificial / Data
Área / Departamento
Cloud
Backend
IA / ML
DevOps / MLOps
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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