The Future of One: Cloud Engineer

Company description Publicis Groupe, the world's second largest communications group, is a solutions platform that is present in more than 100 countries and has more than 98,000 employees. With a unique work philosophy, The Power of One puts clients at the center by promoting the growth of their business through creative agencies (Publicis, Leo Burnett, Publicis Health), media (Zenith, Starcom, Spark and Performics), and areas of transversal knowledge. Publicis Groupe links Creativity, Technology and Data offering a value proposition that effectively connects brand and consumer. Overview We are looking for a Cloud Engineering Intern with an interest in Google Cloud Platform (GCP), DevOps, and Generative AI. You will join a technical team and, with ongoing guidance and support, contribute to the deployment, automation, monitoring, and support of cloud solutions. The main focus will be on GCP, with additional exposure to Microsoft Azure. Advanced experience or cloud architecture design knowledge is not required. Responsibilities Deploy and configure infrastructure, resources, applications, and services in GCP. Support CI/CD pipelines and automation using Infrastructure as Code (IaC). Assist with the operation and monitoring of cloud infrastructure and services using logs, metrics, and alerts. Identify, analyse, and troubleshoot technical issues related to infrastructure, connectivity, and applications. Support the deployment and integration of Generative AI services. Document infrastructure configurations, deployments, and technical procedures. Gain exposure to equivalent services and infrastructure in Microsoft Azure. Qualifications Key Responsibilities Deploy and configure infrastructure, resources, applications, and services in GCP. Support CI/CD pipelines and automation using Infrastructure as Code (IaC). Assist with the operation and monitoring of cloud infrastructure and services using logs, metrics, and alerts. Identify, analyse, and troubleshoot technical issues related to infrastructure, connectivity, and applications. Support the deployment and integration of Generative AI services. Document infrastructure configurations, deployments, and technical procedures. Gain exposure to equivalent services and infrastructure in Microsoft Azure. Technical Knowledge Basic knowledge of GCP, including Compute Engine, Cloud Run, Cloud Storage, Cloud Functions, IAM, VPC, Cloud Logging, and Cloud Monitoring. Understanding of DevOps concepts and tools, such as Git, CI/CD, Docker, Terraform, and scripting with Bash or Python. Basic knowledge of, or interest in learning, Kubernetes. Interest in GCP AI services, including Vertex AI, Gemini, Agent Builder, embeddings, vector search, and RAG solutions. Basic understanding of Linux, networking, security, and the principle of least privilege. Interest in Azure and multi-cloud environments. Candidate Profile Final-year student or recent graduate with a Bachelor’s or Master’s degree in Computer Engineering, Telecommunications Engineering, Data Science, or a related field. Strong interest in developing a career in Cloud, DevOps, and Generative AI. Strong learning ability, analytical thinking, and problem-solving skills. Proactive, responsible, and comfortable working as part of a team. Familiarity with Microsoft 365 tools, such as Teams, Outlook, SharePoint, and OneDrive. Sufficient technical English to understand documentation, procedures, and specialised resources. Nice to Have Introductory certifications, academic or personal projects, or initial hands-on experience with GCP, Azure, Python, Docker, Kubernetes, Terraform, Vertex AI, or Gemini will be considered a plus. Additional information Why join us? Because we offer reasons such as: 🌟 Flexible Benefits (Coverflex): Enjoy more than just work with flexible compensation including meal vouchers, health insurance, transportation, and more. 🚀 Growth Opportunities: You can advance in your career not only through the experience of working with major clients but also by accessing local and global training programs specialized according to your role, covering both technical and soft skills. 📚 Free Online Training: You can access unlimited courses from LinkedIn Learning and Udemy Catalogs through our artificial intelligence platform "Marcel". 🥇 Partner Certifications: You'll have the opportunity to obtain certifications from industry giants such as Meta, Google, or Amazon. 🌍 Work from anywhere: Telecommute up to 6 weeks from over 100 countries with our #WorkYourWorld program. 🎉 Attractive holidays package including your birthday & Advertising Day off plus some additional days off. Rest is also important! 🧘🏻‍♂️ Well-being: We prioritize the well-being of our staff and organize various health initiatives such as daily meditation or yoga among others. Employee benefits are an integral part of the company’s annual compensation package. These benefits are subject to the company’s current policies and guidelines and may be modified, updated, or adjusted at the company’s discretion to reflect organizational needs, regulatory requirements, or business conditions. We are certified as a Great Place to Work, your happiness and providing you with an outstanding experience means a lot to us, let's enjoy! Here at Publicis Groupe, we are committed to building a culturally diverse workforce and therefore strongly encourage applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from all individuals, regardless of their background: we do not discriminate on the basis of race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, marital status, or any individual´s status in any group or class protected by law. If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with the recruiter who contacts you. All employees are committed to complying with obligations regarding Information Security and Technologies, obligations related to the use of Artificial Intelligence, obligations stemming from the Quality and Environmental Management System, as well as obligations derived from the Integrity Management System, Corruption Prevention, and the Anti-Bribery and Anti-Corruption Policy. Furthermore, all employees are required to complete mandatory training courses, declarations, and compliance commitments in these areas.
Deploy and configure infrastructure, resources, applications, and services in GCP. Support CI/CD pipelines and automation using Infrastructure as Code (IaC). Assist with the operation and monitoring of cloud infrastructure and services using logs, metrics, and alerts. Identify, analyse, and troubleshoot technical issues related to infrastructure, connectivity, and applications. Support the deployment and integration of Generative AI services. Document infrastructure configurations, deployments, and technical procedures. Gain exposure to equivalent services and infrastructure in Microsoft Azure.
Key Responsibilities Deploy and configure infrastructure, resources, applications, and services in GCP. Support CI/CD pipelines and automation using Infrastructure as Code (IaC). Assist with the operation and monitoring of cloud infrastructure and services using logs, metrics, and alerts. Identify, analyse, and troubleshoot technical issues related to infrastructure, connectivity, and applications. Support the deployment and integration of Generative AI services. Document infrastructure configurations, deployments, and technical procedures. Gain exposure to equivalent services and infrastructure in Microsoft Azure. Technical Knowledge Basic knowledge of GCP, including Compute Engine, Cloud Run, Cloud Storage, Cloud Functions, IAM, VPC, Cloud Logging, and Cloud Monitoring. Understanding of DevOps concepts and tools, such as Git, CI/CD, Docker, Terraform, and scripting with Bash or Python. Basic knowledge of, or interest in learning, Kubernetes. Interest in GCP AI services, including Vertex AI, Gemini, Agent Builder, embeddings, vector search, and RAG solutions. Basic understanding of Linux, networking, security, and the principle of least privilege. Interest in Azure and multi-cloud environments. Candidate Profile Final-year student or recent graduate with a Bachelor’s or Master’s degree in Computer Engineering, Telecommunications Engineering, Data Science, or a related field. Strong interest in developing a career in Cloud, DevOps, and Generative AI. Strong learning ability, analytical thinking, and problem-solving skills. Proactive, responsible, and comfortable working as part of a team. Familiarity with Microsoft 365 tools, such as Teams, Outlook, SharePoint, and OneDrive. Sufficient technical English to understand documentation, procedures, and specialised resources. Nice to Have Introductory certifications, academic or personal projects, or initial hands-on experience with GCP, Azure, Python, Docker, Kubernetes, Terraform, Vertex AI, or Gemini will be considered a plus.