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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** e-dreams - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Software Debugging, Linux, Distributed Systems, Platform as a Service (PAAS), Software Engineering, AI Infrastructure, Google Cloud, GitHub Copilot, Istio, Large Language Models, Git, AI Platforms, Kubernetes, Cloudflare, Terraform, GPT, Docker - **Published:** May 21, 2026 - **Apply:** https://www.edreamsodigeocareers.com/job/senior-platform-engineer-devops-sre-are-welcome-%f0%9f%91%8b-hybrid/ ## About the Role GCP, Kubernetes, Istio, Crossplane, ArgoCD, FluxCD, Terraform, Kyverno, Git, Docker, Helm, Cloudflare, AI/LLM infrastructure and much more (experience with all of them is not required; we value strong fundamentals, engineering mindset and ability to learn and adapt) What you need to succeed: Good to have Bring your unique perspective, speak up, and offer disruptive solutions. You'll have the opportunity to learn and grow while making a real impact on our team. Here's what you need to succeed: * Strong experience working with cloud infrastructure and containerised environments * Solid understanding of Linux, networking and distributed systems * Experience designing and operating production systems at scale * Familiarity with Infrastructure as Code, GitOps workflows and platform engineering concepts * Ability to reason about complex systems and debug production issues methodically * Ability to balance pragmatism and engineering quality when making technical decisions * Proactive and collaborative mindset, comfortable driving initiatives and aligning with different stakeholders * Ownership attitude: you care about the quality, scalability and reliability of what you ship * Ability to mentor and support other engineers through technical leadership and collaboration * Curiosity and interest in emerging areas such as AI infrastructure, LLM platforms, MCP ecosystems and agentic workflows Preferred Qualifications * Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot, ChatGPT, or other AI-powered coding assistants. * Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into software development workflows. * AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to debug code, streamline development processes, and enhance productivity. * Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities. * Collaboration with AI: Experience or interest in collaborating closely with AI tools as "pair programmers" to complement traditional software development practices. ## Description We're seeking an experienced Platform Engineer to join our Platform As A Service team in Barcelona (Hybrid) to play a key role in shaping the direction of the platform, driving technical initiatives, challenging existing approaches and helping other engineers grow through collaboration and guidance. You will be part of a team of experienced engineers building and operating the foundations that enable our product teams to move fast and safely in production, using modern infrastructure tooling, strong engineering practices and a clear focus on developer experience. If you're ready to soar, we're ready to take you there., As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As a Senior Platform Engineer in the Platform As A Service you will be in charge of: * Design, build and operate platform capabilities used by multiple teams across the company * Drive improvements in developer experience by providing scalable self service workflows, reusable patterns and clear abstractions * Work with Infrastructure as Code and GitOps workflows across the full lifecycle: design, implementation, testing and operation * Contribute to the evolution of our Kubernetes based platforms, including multi cluster and multi region setups * Design and operate the service mesh layer, based on Istio, including multi cluster service mesh capabilities * Work on edge related capabilities as part of the platform, contributing to how requests are handled and secured at scale * Contribute to emerging platform capabilities around AI infrastructure, self hosted LLMs, inference workloads, MCP compatible ecosystems and agentic workflows * Help evaluate and shape how modern AI tooling and platform patterns can be integrated in a scalable, reliable and sustainable way * Lead technically complex initiatives, helping teams navigate ambiguity and make sustainable engineering decisions * Challenge existing practices and identify opportunities to improve scalability, reliability, security and operational efficiency * Help reduce cognitive load for stakeholders by automating common tasks and standardising platform capabilities * Collaborate closely with engineers from different areas, helping align platform capabilities with broader engineering needs * Guide and mentor other engineers through technical discussions, reviews and day to day collaboration * Take ownership of problems end to end, from early design discussions to production operation You will work on strategic and high impact topics, helping define how our production platforms evolve over time while balancing reliability, scalability and developer experience. What's exciting about it? * Mindset: we work following GitOps principles, automate as much as possible and focus on iterative delivery and continuous improvement * Technology: modern cloud native stack with Kubernetes at the core, running on GCP, including service mesh, edge integrations and emerging AI platform capabilities * Technical challenge: a global platform used across many countries and teams, where engineering decisions have significant impact on scalability, reliability and developer workflows * Impact: in this role you will have impact across technology, people, processes and platform strategy ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How we Build The Software of Tomorrow](https://www.wearedevelopers.com/magazine/120-how-we-build-the-software-of-tomorrow) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)