Cloud Deployment Engineer - HÍBRIDO CDMX

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Mexico City, Ciudad De México, MEX
Remote
Mid level
Software
The Role
Designs, builds, deploys, and operates scalable backend applications and services across AWS and Google Cloud. Integrates DevOps and MLOps practices, deploys AI/ML models to production, and ensures quality, security, observability, and operational efficiency. Responsibilities include cloud infrastructure, CI/CD pipelines, containerization, Kubernetes, infrastructure as code, databases, APIs, monitoring, and agile collaboration.
Summary Generated by Built In

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 TrabajoModalidad 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.

Candidate Privacy Policy

Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:

  • What information we collect during our application and recruitment process and why we collect it;
  • How we handle that information; and
  • How to access and update that information.

Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.


Skills Required

  • 3 to 5 years of experience as a multi-cloud Cloud Developer with AI/ML and DevOps experience
  • Bachelor's degree or engineering degree in Systems, Computer Science, Mathematics, Physics, or a related field; equivalent verifiable experience may be accepted
  • Experience with AWS and Google Cloud Platform
  • Experience with AI/ML and MLOps, including deploying models in production environments
  • Experience with Git and CI/CD tools such as GitHub Actions, GitLab CI, Cloud Build, Cloud Deploy, CodeBuild, or CodePipeline
  • Programming experience with Python, Node.js, and SQL
  • Experience with Docker, Kubernetes, Helm, and Terraform
  • Experience with backend frameworks such as Express or Fastify
  • Experience with machine learning frameworks including scikit-learn, TensorFlow/Keras, or PyTorch
  • Experience with relational and analytical databases, Cloud SQL, Amazon RDS, BigQuery, object storage, Amazon S3, or Google Cloud Storage
  • Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry
  • Technical English proficiency
  • Google Professional Cloud Developer certification
  • Google Professional Machine Learning Engineer certification
  • Google Associate Cloud Engineer certification
  • AWS Certified Developer Associate certification
  • AWS Certified Machine Learning Specialty certification
  • AWS DevOps Engineer Professional certification
  • TensorFlow Developer Certificate or IBM AI Engineering Professional Certificate
  • Experience with agile methodology and Scrum

Orion Innovation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Orion Innovation and has not been reviewed or approved by Orion Innovation.

  • Wellbeing & Lifestyle Benefits Orion highlights health and well-being initiatives such as fitness, mindfulness, and flexibility/remote options, reinforced by recognition like Cigna’s Healthy Workforce Designation. Flexibility via hybrid/remote work is positioned as a consistent part of the overall rewards experience.
  • Fair & Transparent Compensation Pay is characterized as moderately satisfactory overall, with pockets where compensation is viewed as fair, particularly for some software engineering and certain U.S. roles. Public snapshots also indicate that competitiveness can be stronger in specific markets and functions.
  • Career-Linked Recognition & Rewards Performance-linked outcomes are implied through mentions that hikes can be good when performance is demonstrated. Learning and development programs are also emphasized as part of the broader value proposition tied to career growth.

Orion Innovation Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Edison, NJ
3,410 Employees
Year Founded: 1993

What We Do

Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6,200+ associates, with engineers in 14 major delivery centers across North America, Europe, Asia Pacific and Latin America. For over 25 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale.​ Our mission is to serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, experience design, and domain expertise.​ Our business has more than tripled over the last three years. ​ We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.

Similar Jobs

Capital One Logo Capital One

Manager, Product Management

Fintech • Machine Learning • Payments • Software • Financial Services
Remote or Hybrid
Mexico City, Ciudad De México, MEX
55000 Employees

Ericsson Logo Ericsson

Program Lead NDO Telcel

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Remote
Mexico City, Ciudad De México, MEX
88000 Employees

Ericsson Logo Ericsson

Senior Construction Manager

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Remote
Mexico City, Ciudad De México, MEX
88000 Employees

Mastercard Logo Mastercard

Vice President, Government Affairs and Policy, North LAC

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Remote or Hybrid
Mexico City, Ciudad De México, MEX
38800 Employees

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software • Productivity
US
15 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account