Senior DevOps Engineer - GenAI Platforms

Description

Summary: As a Senior DevOps Engineer – GenAI Platforms, you will design, build, and operate cloud infrastructure for next-generation Generative AI and agentic systems for enterprise customers. Highlights: 1. Design, build, and operate cloud infrastructure for Generative AI systems 2. Enable scalable, secure, and reliable deployment of LLM-based applications 3. Work closely with AI/ML engineers on GenAI solutions on Google Cloud Platform **Capgemini Engineering** ------------------------- 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. **YOUR ROLE** ------------- As a Senior DevOps Engineer – GenAI Platforms, you will design, build, and operate the cloud infrastructure that powers next\-generation Generative AI and agentic systems for enterprise customers. You will be responsible for enabling scalable, secure, and reliable deployment of LLM\-based applications, including multi\-agent workflows, RAG pipelines, and tool\-integrated AI systems. Working closely with AI/ML engineers, you will help bring GenAI solutions from prototype to production, with a strong focus on performance, observability, and cost\-efficiency on Google Cloud Platform (GCP). **YOUR PROFILE** ---------------- * 6\+ years of experience in DevOps, Cloud Engineering, or SRE roles * Strong experience with Google Cloud Platform (GCP) (e.g., GKE, Cloud Run, Vertex AI, BigQuery, IAM) * Hands\-on experience with Infrastructure as Code (Terraform, Cloud Deployment Manager, or similar) * Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.) * Strong knowledge of containerization and orchestration (Docker, Kubernetes) * Proficiency in scripting and automation (Python, Bash, or similar) * Experience deploying and operating AI/ML or Generative AI systems in production * Knowledge on Agentic architectures. Experience with Agentic AI frameworks (LangChain, LangGraph, Google ADK, or similar) * Familiarity with Model Context Protocol (MCP) and AI system integrations * Solid understanding of distributed systems, networking, and cloud security best practices * Experience with monitoring and observability tools (Prometheus, Grafana, , etc.) * Fluency in English (written and spoken) and Portuguese (Nice to Have) **ABOUT CAPGEMINI** ------------------- Capgemini is an AI\-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end\-to\-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.