SLB_IoT Software Engineer

Capgemini

Buenos Aires

On-site

ARS 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Capgemini Engineering busca un/a Ingeniero/a de IoT y Edge Computing para desarrollar y mantener aplicaciones Edge orientadas a soluciones de IoT en Argentina. Trabajarás con Python, C/C++, Linux y prácticas de CI/CD, integrando soluciones en AWS, Azure o Google Cloud, y gestionarás protocolos MQTT, AMQP, Modbus y OPC UA.

Se requiere experiencia en Docker y Kubernetes, pruebas de integración y metodologías ágiles.

Qualifications

  • Experiencia desarrollando aplicaciones Edge y soluciones IoT.
  • Conocimientos sólidos de Python, C o C++.
  • Experiencia con Linux, Bash, Git y prácticas de CI/CD.
  • Manejo de protocolos de comunicación IoT y plataformas cloud.
  • Experiencia con Docker, Kubernetes, testing de integración y metodologías ágiles.

Responsibilities

  • Desarrollar y mantener aplicaciones Edge orientadas a soluciones de IoT.
  • Implementar soluciones IoT integradas con cloud (AWS, Azure o Google Cloud).
  • Trabajar con protocolos MQTT, AMQP, Modbus y OPC UA.
  • Desplegar y mantener aplicaciones mediante Docker y Kubernetes.
  • Brindar soporte productivo L3, realizando troubleshooting y hot fixes cuando sea necesario.

Skills

Python
C
C++
Linux
Bash
Git
CI/CD
IoT protocols
Docker
Kubernetes
Integration testing
Agile methodologies
Edge computing
Cloud platforms

Tools

Docker
Kubernetes
Git
CI/CD tooling

Job description

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.Job DescriptionTu rolBuscamos un/a IoT & Edge Computing Engineer para desarrollar y mantener aplicaciones Edge orientadas a soluciones de IoT.En este rol vas a:Desarrollar aplicaciones Edge utilizando Python, C y C++.Implementar soluciones IoT integradas con AWS, Azure o Google Cloud.Trabajar con protocolos como MQTT, AMQP, Modbus y OPC UA.Desplegar y mantener aplicaciones mediante Docker y Kubernetes.Brindar soporte productivo L3, realizando troubleshooting y hot fixes cuando sea necesario.Tu perfilExperiencia desarrollando aplicaciones Edge y soluciones IoT.Conocimientos sólidos de Python, C o C++.Experiencia con Linux, Bash, Git y prácticas de CI/CD.Manejo de protocolos de comunicación IoT y plataformas cloud.Experiencia con Docker, Kubernetes, testing de integración y metodologías ágiles.Será valorada la experiencia en desarrollo de software embebido, RTOS, Raspberry Pi, virtualización y Test-Driven Development.Job Description - Grade SpecificHas more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.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.
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