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Cloud Developer --- Hibrido CDMX
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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
Nivel: STD – SR
Experiencia
Años de experiencia:
- 3 o más años de experiencia como Desarrollador/a Cloud (Multi‑Nube) con IA/ML y DevOps.
Escolaridad
- Licenciatura o Ingeniería en:
- Sistemas
- Computación
- Matemáticas
- Física
- 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 y/o Azure), 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 Cloud Architect (deseable para perfil SR)
- Google Professional Machine Learning Engineer
- Google Associate Cloud Engineer
Amazon Web Services (AWS)
- AWS Certified Developer – Associate
- AWS Certified Solutions Architect – Associate
- AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
- AWS DevOps Engineer – Professional (deseable para perfil SR)
Microsoft Azure
- Microsoft Certified: Azure Developer Associate (AZ‑204)
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure DevOps Engineer Expert
Machine Learning
- Google Professional Machine Learning Engineer
- AWS Certified Machine Learning – Specialty
- Azure Data Scientist Associate
- 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)
- Azure DevOps Pipelines
Lenguajes de Programación
- Python
- Node.js
- TypeScript (deseable)
- SQL
- YAML (pipelines / Infraestructura como Código)
Sistemas Operativos
- Linux (principal)
- Windows
- macOS
Manejadores de Bases de Datos
- Cloud SQL
- Amazon RDS
- Azure SQL
- BigQuery
- Bases de datos relacionales y analíticas
- Almacenamiento de objetos:
- Amazon S3
- Google Cloud Storage
- Azure Blob 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)
- Microsoft Azure (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:
- Velocity
- Lead Time
- Tableros de observabilidad
- Definición y seguimiento de SLO / SLI
Esquema de Trabajo
- Asignación a proyectos
- Desarrollo y operación de productos digitales
- (No esquema de fábrica de software)
Tipo de Asignación
- Proyectos
- Operación
- Soporte productivo
- Mejora continua
Tipo de Proyecto
- Ágil
Industria
- Banca / Servicios Financieros
Tecnología
- Cloud Computing
- Inteligencia Artificial / Data
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.
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Senior Machine Learning Engineer - Not an Active Opening, Building Talent Pipeline
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Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.
At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!
Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.
The Mission
At Caylent, a Senior Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference. You will develop solutions designed by an architect.
You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer. Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent.
Your Assignments
- Work with a team to deliver machine learning solutions on AWS for customers
- Participate in and contribute to daily standup meetings
- Develop and implement ML models, MLOps, and analytics
- Big data processing and preparation of training data for models
Your Qualifications
- Strong experience in building ML models for real world applications
- Strong experience in at least one of these:
- AWS ML Services/SageMaker
- ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
- MLOps tools such as MLflow, Kubeflow, Airflow
- Advanced analytics using time series forecasting and/or inferential statistics
- Strong experience in one or more of these data processing solutions:
- Big data processing platforms like Spark, Hadoop, or streaming platforms
- Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
- Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
- Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
- Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
- Excellent written and verbal communication skills
Benefits
- 100% remote work
- Medical Insurance for you and eligible dependents
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications
- Peer bonus awards
- State of the art laptop and tools
- Equipment & Office Stipend
- Individual professional development plan
- Annual stipend for Learning and Development
- Work with an amazing worldwide team and in an incredible corporate culture
This role may require up to 25% travel, depending on business needs.
NOTE: We’re unable to provide visa sponsorship now or at any time in the future.
At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com
Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.
We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.Ready to apply?
Apply to Caylent