36 Platform Engineer jobs in France available for remote work from home. Apply for positions such as Platform Engineer (x/f/m) - Tech Foundations, Software Engineer, Platform - Toulouse, France, Software Engineer, Platform - Paris, France and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will operate and evolve the multi-cloud infrastructure, data platforms, and observability stacks to ensure product crews can ship safely and quickly. Additionally, you will focus on reliability, FinOps, and AI-augmented infrastructure operations to maintain platform uptime and reduce toil.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, build, and operate the AI storage layer to support large-scale GPU infrastructure for distributed inference and training. Lead architectural ownership and technical direction for storage platforms across edge and core deployments.
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You will administer, maintain, and tune EDR and SIEM platforms to improve security monitoring and detection capabilities. Additionally, you will collaborate with IT teams to onboard new systems and develop security dashboards, reports, and automated workflows.
You will design, build, and operate cloud-native Kubernetes platforms while collaborating directly with client engineering teams. You are responsible for maintaining platform reliability, implementing infrastructure as code, and establishing self-service paths for delivery engineers.
You will drive the migration to Amazon EKS, expand infrastructure into new AWS regions, and build reusable patterns for deployment and reliability. Additionally, you will manage the AI platform layer for engineering and ensure high uptime through robust observability and CI/CD practices.
Lead infrastructure projects including migrations, performance improvements, and cloud cost optimizations for assigned brands. Establish and maintain CI/CD pipelines, infrastructure as code, and observability standards while advising brand leadership on technical architecture.
You will own the AWS cloud foundation, infrastructure-as-code, and the development of self-service platforms to enable researchers and engineers. Additionally, you will manage CI/CD pipelines, security standards, and observability to ensure reliable and scalable infrastructure.
You will own the data and storage self-service layer, building infrastructure and tooling that allow researchers to access and process large multimodal biological datasets independently. You will also create internal services and paved roads to abstract complexity and ensure data security through code.
The role focuses on owning and evolving the systems that enable engineers to ship safely, with a primary emphasis on incident handling and production reliability. Responsibilities include managing cloud infrastructure, CI/CD pipelines, and improving the overall developer experience.
Take full technical ownership of the GCP-native data platform, overseeing everything from raw event ingress to reporting delivery. Define the platform roadmap, establish engineering standards, and drive the adoption of AI-native engineering practices.
Lead the architectural evolution of the XTM Suite to significantly increase data processing throughput and scalability. Define cross-product standards for communication and observability while building performance testing infrastructure from the ground up.
Lead the migration from AWS-managed services to EKS and design high-availability, low-latency infrastructure. Manage cloud resources, automation via Terraform, and optimize CI/CD pipelines and observability tools.
You will be a key contributor to the design and development of search and indexing components within a cloud-based scalable architecture. Additionally, you will be responsible for system operations, including participation in an out-of-hours on-call rotation and troubleshooting high-impact issues.
Design and implement zero-trust security architecture and robust security capabilities for a GPU-based cloud platform. Manage identity systems, network segmentation, and automated security workflows to ensure secure multi-tenant operations.
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Design, build, and maintain backend systems and APIs for the Wikidata Query Service to ensure scalability and reliability. Monitor production systems, resolve operational bottlenecks, and contribute to deployment automation and CI/CD workflows.
Design and maintain backend systems and APIs for the Wikidata Query Service to ensure high scalability and reliability. Collaborate with SRE and product teams to monitor production systems and implement automation for data pipelines.
Design and develop backend systems for DRM configuration and video processing pipelines to ensure content is viewable across all devices. Optimize the video upload system for performance, cost-efficiency, and resilience while handling petabytes of data.
Design and develop backend services for a global video platform using Go, Java, and Python. Implement REST APIs and integrate LLMs for features like automatic subtitle generation.
You will define the architecture for the data platform and lead the design of scalable, low-latency pipelines for high-volume payment transactions. Additionally, you will mentor senior engineers and partner with cross-functional teams to ensure data reliability and business value.
You will build and ship features for the North AI workspace platform and develop autonomous agents that interact with sensitive enterprise data. This role involves leading end-to-end deployment of North in private cloud and on-premises environments.
The Software Engineer III will build and maintain developer platform tooling, AI capabilities, and reusable infrastructure components. This role involves working within product engineering teams to implement patterns, document systems, and facilitate AI-focused technical workshops.
You will own the end-to-end Enterprise Data Platform, managing data ingestion, transformation, and quality. You will collaborate with cross-functional teams to build reliable data models, dashboards, and governance frameworks.
You will triage and resolve platform issues reported by the Shared Services team while identifying patterns to ship durable product improvements. Your work involves building internal tools and integrations that reduce agent cognitive load and improve operational efficiency.
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![Actian Corporation is hiring for remote AI Augmented Software Engineer [gn] Data Intelligence Platform](/assets/5faaf380-1070-4f64-b725-786eeaa2581e.png){kind=small}
Design and implement full-stack features for the Data Intelligence Platform while leveraging AI tools to accelerate development and improve code quality. Collaborate with product managers and team members to ensure stable, scalable, and maintainable production-grade solutions.
Build and maintain the core billing engine to process high-volume financial transactions with precision and reliability. Design modular billing primitives and integrate them with internal systems and external payment platforms.
Design and own the core billing platform to process thousands of daily transactions across multiple countries. Build modular billing primitives and integrate with payment gateways and internal systems to ensure operational excellence.
Lead technical engagements and customized demonstrations to match client needs with the SaaS platform's capabilities. Collaborate with product teams to translate customer feedback into feature enhancements and manage the end-to-end delivery of product trials.
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