Administrador de IaC en Azure

Bogotá

En SETI S.A.S estamos buscando un Especialista en Administración Cloud - Infraestructura Linux. Esta oportunidad te permitirá expandir tus conocimientos y habilidades mientras desarrollas experiencia en administración de sistemas Linux, tanto en entornos OnPremise como en la nube. Participarás en iniciativas de aseguramiento, automatización, migración a la nube y adopción de tecnologías de contenedores. Requisitos: Tecnólogos y/o Profesionales en Ingeniería de Sistemas, Electrónica, Telecomunicaciones o carreras afines. Mínimo tres (3) años de experiencia en Administración y Operación de Sistemas Operativos Linux en entornos OnPremise. Experiencia en entornos IaaS en la nube (Azure, GCP o AWS). Experiencia en Instalación, Configuración, Migración, Actualización (parchado), Monitoreo, Alta Disponibilidad y Virtualización. Experiencia en Solución de Requerimientos e Incidentes y Aseguramiento de Sistemas Operativos. Deseable experiencia en Administración de Contenedores (Docker, Kubernetes, AKS o similares). Deseable certificación en Linux o en alguna de las nubes mencionadas. Habilidades Técnicas: Administración de Sistemas operativos Linux. Plataformas en la nube: Azure, GCP, AWS. Virtualización y alta disponibilidad. Contenedores: Docker, Kubernetes, AKS Habilidades blandas: Aprendizaje continuo y adaptabilidad. Orientación al detalle y a la calidad. Trabajo colaborativo. Comunicación asertiva. Principales funciones: Administrar y mantener servidores Linux físicos y virtuales. Asegurar la operación estable y segura de la infraestructura tecnológica. Aplicar controles de aseguramiento (parcheo, políticas de seguridad). Apoyar la virtualización de servicios y consolidación de servidores. Gestionar incidentes, cambios y requerimientos operativos. Participar en proyectos de migración a la nube y contenedorización. Documentar procedimientos técnicos y planes de recuperación. Beneficios: Seguro de vida desde el día 1. Póliza de salud. Certificaciones patrocinadas. Bonificaciones por recomendación. Plan de carrera. Fondo de empleados. Condiciones de Trabajo: Ubicación: Bogotá. Modalidad de Trabajo: Híbrido. Tipo de Contrato: A término indefinido. Salario: A convenir según experiencia. Horario: Lunes a viernes de 8:00 a.m. a 6:00 p.m. (con disponibilidad) Si tienes habilidades técnicas sólidas, te gusta enfrentar nuevos retos y quieres crecer profesionalmente en un entorno dinámico, ¡esta es tu oportunidad! Esta oferta de trabajo es publicada bajo la propiedad exclusiva de ticjob.co

Amazonas, Antioquia, Arauca, Atlántico, Bolívar, Boyacá, Caldas, Caquetá, Casanare, Cauca, Cesar, Chocó, Córdoba, Cundinamarca, Guainía, Guaviare, Huila, La Guajira, Magdalena, Meta, Nariño, Norte de Santander, Putumayo, Quindío, Risaralda, San Andrés, Providencia y Santa Catalina, Santander, Sucre, Tolima, Valle del Cauca, Vaupés, Vichada, Bogotá

Role: Data Scientist At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life[1]saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same We are looking for a skilled Data Scientist with experience in building recommendation systems and conducting market basket analysis. You will be responsible for developing data pipelines, engineering features, training machine learning models, and deploying them into production environments. Your work will focus on improving personalized recommendations and gaining insights from customer purchasing patterns. In this role you will play a key role in: Build and optimize data pipelines to support recommendation models and market basket analysis. Engineer features and transform data for better model performance. Develop and train machine learning models for recommendations and association rule mining. Perform market basket analysis to identify product affinities and enhance cross-selling opportunities. Experience in serving models in Real-Time or API serving Deploy, monitor, and maintain models in production environments. Collaborate with MLOps and cloud teams to ensure secure and scalable solutions. Azure/Databricks experience is preferred. Qualifications: Experience with recommendation systems and market basket analysis. Strong skills in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with cloud platforms (preferably Azure) and MLOps practices. Proficient in data processing, model training, and deployment. THIS IS WHAT YOU NEED TO KNOW ABOUT OUR JOB OFFER: What You'll Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At heart, our mission is one of growth. Our array of career growth programs and diverse projects ensure support in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure. Labor Conditions: Workplace: Colombia. Type of Contract: indefinitely. Salary: to be agreed according to experience. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to[1]end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner. This vacancy is disclosed through ticjob.co

Amazonas, Antioquia, Arauca, Atlántico, Bolívar, Boyacá, Caldas, Caquetá, Casanare, Cauca, Cesar, Chocó, Córdoba, Cundinamarca, Guainía, Guaviare, Huila, La Guajira, Magdalena, Meta, Nariño, Norte de Santander, Putumayo, Quindío, Risaralda, Santander, Sucre, Tolima, Valle del Cauca, Vaupés, Vichada, San Andrés, Providencia y Santa Catalina, Bogotá

Role: Azure Data Engineer At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same In this role you will play a key role in: Identify and troubleshoot root causes of failures in pipelines built with Azure Data Factory. Review team monitoring reports to identify issues and create corresponding User STpries / PBIs for resolution. Monitor the status of Databricks jobs and ADF pipelines. Understand the concepts of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. Work with Azure Cloud Services, Azure Data Factory and Python / Spark (we use Azure Databricks). Your Profile: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 3+ years of experience in data engineering or related role. Proficiency in Python. Strong understanding of ETL/ELT processes. Experience with Azure Cloud Services specially in Azure Data Factory. Ability to review monitoring reports and create PBIs for necessary fixes. Focus on system maintenance. What You'll Love About Working Here: We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At heart, our mission is one of growth. Our array of career growth programs and diverse projects ensure support in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure. Labor Conditions: Workplace: Colombia. Work Modality: Remote. Type of Contract: indefinitely. Salary: to be agreed according to experience. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. This vacancy is disclosed through ticjob.co

Amazonas, Antioquia, Arauca, Atlántico, Bolívar, Boyacá, Caldas, Caquetá, Casanare, Cauca, Cesar, Chocó, Córdoba, Cundinamarca, Guainía, Guaviare, Huila, La Guajira, Magdalena, Meta, Nariño, Norte de Santander, Putumayo, Quindío, Risaralda, Santander, Sucre, Tolima, Valle del Cauca, Vaupés, Vichada, San Andrés, Providencia y Santa Catalina, Bogotá

Rol: Científico de Datos Requisitos: Profesionales en Ingeniería de Sistemas o carreras afines. Contar con tarjeta profesional o tenerla en tramite. Conocimiento y experiencia técnica de cuatro (4) años en Python, Scikit-learn, TensorFlow/PyTorch, Pandas, MLflow, Databricks, estadística inferencial, LangChain, LangGraph, Azure OpenAI, Microsoft Semantic Kernel, Prompt Engineering, Vector DBs, desarrollo e implementación de modelos predictivos, gestión de modelos de machine learning, implementación en entornos productivos y su optimización a través de pipelines y ETL. Conocimiento en Nube (Azure, AWS o Google Cloud). Condiciones Laborales: Lugar de Trabajo: Colombia. Modalidad de Trabajo: Remoto. Tipo de Contrato: A Término Indefinido. Salario: A convenir de acuerdo a la experiencia. Esta vacante es divulgada a través de ticjob.co