Jobs Hiring Near Me: Curated DevOps Engineer Jobs in France

This mid-senior platform engineering role focuses on building reliable, scalable cloud environments for global data science and machine learning projects. The position combines hands-on cloud and infrastructure engineering with a consulting mindset and client interaction. It involves designing, automating, and evolving infrastructure while collaborating with engineers, data scientists, and business stakeholders to turn requirements into robust technical solutions.

Join a technical team focused on supporting and scaling modern cloud-based data environments. Help application teams onboard to Databricks, build reliable Data Landing Zones (DLZ), work with Azure resources, Infrastructure as Code, automation, and deployment pipelines to deliver efficient solutions. As a first-line technical point of contact, troubleshoot requests and help resolve issues through structured support processes. Identify opportunities to automate repetitive activities and continuously improve operational workflows.

This senior engineering position focuses on building the foundational platform layer for secure, production-grade AI applications. The role involves designing shared infrastructure and integrating modern cloud and data technologies to enable efficient development of AI capabilities.

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Soda is the data quality layer for companies like Disney, Ralph Lauren, CBRE, HelloFresh, and Nubank. The mission of Soda's Platform team is to build a Data & AI performance monitoring platform that spans from data collection to automated decision-making.

This role offers the opportunity to take ownership of cloud infrastructure and help shape reliability, observability, and operational excellence across a growing engineering organization. You will design and evolve scalable infrastructure on Google Cloud while enabling development teams through automation and self-service tooling.

We are looking for experienced backend and infrastructure engineers to design sophisticated reinforcement-learning environments that test how AI systems handle distributed systems, cloud infrastructure, deployment, troubleshooting, security, scaling, and recovery. The work combines backend engineering, DevOps, cloud architecture, and systems reliability. No prior AI experience is required.

This is a senior reliability engineering role focused on defining and advancing the infrastructure standards behind a globally scaled, AI-native platform. You will take ownership of reliability strategy across production infrastructure, with a particular focus on AWS, Kubernetes, event-driven systems, and AI agent workloads. The role combines deep hands-on engineering with architectural leadership, incident management, observability, and technical mentorship.

Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. The company aims to connect them with pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally through a single API. Yuno optimizes acceptance rates, reduces costs, and strengthens security by using specialized AI agents that learn from every transaction.

Uni Systems is looking for a DevOps Engineer to join their UniQue team. The position requires candidates who can bring digital vision into reality and succeed in the role.