57 Platform Engineer jobs in Spain available for remote work from home. Apply for positions such as Senior AI Infrastructure & Platform Operations Engineer (remote in the EU), Senior AI Infrastructure & Platform Operations Engineer (remote in the EU), AI Infrastructure & Platform Operations Engineer (remote in the EU) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will lead the operation of large-scale AI infrastructure, managing NVIDIA GPU environments and Kubernetes platforms while acting as a senior escalation point for critical incidents. Additionally, you will drive operational excellence through automation, reliability practices, and technical mentorship of the engineering team.
Lead the operation and reliability of large-scale AI infrastructure powered by NVIDIA GPUs and Kubernetes. Drive operational excellence through automation, incident resolution, and the development of operational standards.
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while contributing to operational automation.
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while contributing to automation and observability improvements.
Design and evolve the observability strategy for data platforms and applications using Datadog APM. Collaborate with technical and business teams to define functional KPIs, SLIs, and SLOs to monitor service health.
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Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while contributing to automation and observability improvements.
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while contributing to operational automation.
Design, build, and operate backend services for the verification platform, focusing on the orchestration engine and automated decisioning pipeline. Ensure system reliability, scalability, and maintainability while participating in on-call rotations and mentoring teammates.
Responsible for the security and integrity of the underlying infrastructure, safeguarding the platform from vulnerabilities and threats. This includes developing vulnerability management tools and ensuring compliance with industry standards like ISO27001 and SOC2.
Analyze customer requirements to design and implement Kubernetes platforms on vSphere Supervisor and VMware Cloud Foundation. Lead strategic workshops and provide technical consulting on architecture, deployment, and troubleshooting of containerized environments.
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 maintain developer-facing surfaces including the Elastic MCP server, CLI, and third-party integrations to connect Elastic to the AI ecosystem. You will also contribute to infrastructure for universal agent skills and collaborate with product teams to shape integration strategies.
Design and implement scalable application networking features while integrating security controls into the Elastic Cloud infrastructure. Analyze performance metrics, conduct load testing, and collaborate with cross-functional teams to resolve networking issues.
You will lead engineering efforts to improve system reliability, resilience, and incident response while mentoring team members. You will also collaborate with cross-functional teams to define SLOs, manage infrastructure, and drive operational excellence.
The SRE will manage the reliability, availability, and performance of the Guardicore Data and AI Platform using Kubernetes infrastructure. Responsibilities include leading production investigations, implementing observability strategies, and leveraging AI for incident auto-remediation.
Take technical ownership of the reliability, availability, and performance of the Guardicore Data and AI Platform. This includes operating Kubernetes infrastructure, leading production investigations, and leveraging AI for incident remediation.
Build reusable AI tooling, RAG-based knowledge systems, and automated SDLC workflows to improve internal engineering efficiency. Define and manage secure, observable, and cost-aware patterns for AI platform services.
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Build scalable systems and data pipelines to power consumer credit reporting for financial product portfolios. Collaborate with product, compliance, and credit teams to design robust reporting systems and maintain system availability through on-call rotations.
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.
Engineer an employee affiliation engine and automate payroll and billing workflows for HR teams. Collaborate with product and design teams to build seamless integrations with platforms like Payfit and Workday.
You will lead the Platform Infrastructure team to own the reliability, security, and cost-effectiveness of cloud infrastructure for both internal and customer-facing platforms. This role involves defining production standards, managing incident response, and overseeing the technical launch of dedicated hosting offerings.
Implement and deliver automated, containerized cloud application platforms focusing on infrastructure, security, and resilience. Serve as a subject matter expert to provide strategic IT recommendations and technical guidance to enterprise customers.
Oversee the strategic planning, deployment, and optimization of the Enovia 3DEXPERIENCE platform across development, testing, and production environments. Lead system upgrades, security audits, and disaster recovery planning while mentoring junior engineers.
Design and implement scalable platforms that support organizational strategic requirements and software development. Provide technical guidance to teams and maintain documentation for platform architecture and design.
Lead the technical strategy and architecture for the POS Application Platform, serving as the foundational layer for all POS products. Manage developer experience, platform reliability, and engineering standards while remaining 40-60% hands-on with code.
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You will lead and develop a multidisciplinary data engineering team while setting the technical direction for the platform that processes billions of payment events. You will also collaborate with cross-functional teams to ensure data products are reliable, scalable, and compliant with industry standards.
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