Jobs Hiring Near Me: Curated DevOps Engineer Jobs in Spain

This position involves owning the infrastructure for moving machine learning and AI from experimentation to production systems. The Lead ML/AI Platform Engineer will define technical direction, work closely with teams like data science, DevOps, backend engineering, product, and leadership, and drive the strategy for GenAI, LLMs, retrieval architectures, and agentic workflows in a globally distributed team.

This position offers leadership in SRE within a large-scale, security-focused environment. Define health across components, establish SLIs and SLOs, and build telemetry and reliability platform while collaborating with engineering leads.

This is a senior-level SRE opportunity focused on solving complex reliability, infrastructure, and platform challenges in a fully remote environment. You will take ownership of high-impact projects, from solution discovery through delivery, while helping shape platform architecture and long-term reliability strategy.

Joining Frontiers means being part of a global, mission-driven organization at the intersection of science, technology, and innovation — working alongside passionate colleagues who care deeply about advancing knowledge for the benefit of society. To learn more about our impact and culture, please watch this video.

This position focuses on building the foundational platform layer behind secure, production-grade AI applications. The role combines hands-on work with LLMs, AI agents, RAG, tool calling, and AI workflows while leveraging modern cloud and data technologies to turn experimental AI use cases into reliable, scalable production systems.

This mid-senior platform engineering role focuses on building reliable, scalable cloud environments for global organizations working on complex data-intensive projects. The position combines hands-on cloud and infrastructure engineering with a strong consulting mindset and client interaction. It offers significant ownership opportunities, including leading technical implementations and contributing to internal standards.

Engineering at Swiftly isn't only about writing code. We build empowered product teams that shape new features together and bring them to life. Each team balances shipping incremental improvements, prototyping to reduce risk, and building software that scales.

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. The role combines hands-on technical engineering with ownership of reliability practices, incident management, and operational improvement.

As an ML Platform Engineer at A1, you will build the infrastructure and systems that power A1's AI capabilities. You will design and operate the systems behind the AI stack from model training and evaluation to deployment, inference, observability, and continuous improvement. Your role focuses on building reliable, scalable, and cost-efficient production systems for high-throughput and low-latency workloads. You will collaborate with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure.

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.