
Cloud Developer Specialist
Job Description
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, Wysiwyg, Nurun and Digitas), 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 Engineer with strong experience in Google Cloud Platform to design, deploy, and operate scalable, production-grade cloud services. You will work in modern cloud environments, building backend services and infrastructure that support a wide range of applications, including systems that integrate Generative AI (LLMs) into business workflows. This role is primarily focused on cloud architecture, backend engineering, and production operations, with exposure to AI-driven use cases. Responsibilities Design, deploy, and operate services on Google Cloud (GKE, Cloud Run, Compute Engine) Build and maintain Python-based backend services (APIs, microservices) Design cloud architectures that are scalable, resilient, and cost-efficient Implement monitoring, logging, and alerting for production systems Troubleshoot and resolve production issues (latency, errors, availability, cost) Collaborate with AI and backend teams to integrate LLM-based features into systems Contribute to the evolution of the cloud platform, best practices, and standards Support CI/CD pipelines and deployment automation Qualifications Strong analytical and problem-solving skills. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams 1–3 years of experience in Cloud Engineer or Backend Engineer role Hands-on experience with Google Cloud Platform (preferred), AWS or Azure also considered: Compute Engine, GKE, Cloud Storage VPC, Load Balancing, IAM Cloud Monitoring & Logging Willingness to work primarily with Google Cloud Platform Strong programming skills in Python (primary language) Experience building and running production backend services Solid understanding of: Scalability and distributed systems High availability and resilience CI/CD tools (GitHub Actions, GitLab CI, Bitbucket Pipelines, etc) Exposure to LLMs (Gemini, OpenAI, etc.) is a plus Professional level of English Nice to have Infrastructure as Code (Terraform, Cloud Deployment) Event-driven or microservices architectures Google Associate Cloud Engineer certification Containerization (Docker, Kubernetes) Agile working experience (Scrum) What we offer Sponsored certifications Access to hands-on workshops and expert-led trainings in Google Cloud and AI agent development (architecture, deployment, and best practices) Advanced training sessions on AI, multi-agent systems, and cloud-based solution architecture in collaboration with Google specialists 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.
Strong analytical and problem-solving skills. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams 1–3 years of experience in Cloud Engineer or Backend Engineer role Hands-on experience with Google Cloud Platform (preferred), AWS or Azure also considered: Compute Engine, GKE, Cloud Storage VPC, Load Balancing, IAM Cloud Monitoring & Logging Willingness to work primarily with Google Cloud Platform Strong programming skills in Python (primary language) Experience building and running production backend services Solid understanding of: Scalability and distributed systems High availability and resilience CI/CD tools (GitHub Actions, GitLab CI, Bitbucket Pipelines, etc) Exposure to LLMs (Gemini, OpenAI, etc.) is a plus Professional level of English Nice to have Infrastructure as Code (Terraform, Cloud Deployment) Event-driven or microservices architectures Google Associate Cloud Engineer certification Containerization (Docker, Kubernetes) Agile working experience (Scrum) What we offer Sponsored certifications Access to hands-on workshops and expert-led trainings in Google Cloud and AI agent development (architecture, deployment, and best practices) Advanced training sessions on AI, multi-agent systems, and cloud-based solution architecture in collaboration with Google specialists
Design, deploy, and operate services on Google Cloud (GKE, Cloud Run, Compute Engine) Build and maintain Python-based backend services (APIs, microservices) Design cloud architectures that are scalable, resilient, and cost-efficient Implement monitoring, logging, and alerting for production systems Troubleshoot and resolve production issues (latency, errors, availability, cost) Collaborate with AI and backend teams to integrate LLM-based features into systems Contribute to the evolution of the cloud platform, best practices, and standards Support CI/CD pipelines and deployment automation