Cloud Deployment Engineer

Hace 3 días
san pedro garza garcía, nuevo león, México Orion Innovation Jornada completa

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


•   

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