Principal Cloud Engineer
Plain Concepts
| Company | Plain Concepts |
| Category | Engineering |
| Location | Spain |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 1 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (workable) |
Description
🚀 We’re Growing Our Cloud Dream Team! As part of our international Principal Engineers team, you’ll craft tailor-made solutions that wow our clients. We’re hunting for a passionate Principal Cloud Engineer with a solid technical background. Your mission is not just to build infrastructure — but to design, evolve and scale cloud-native and AI-driven platforms that are secure, resilient, and production-ready. This role is for engineers who enjoy owning architecture decisions , working close to product and AI teams, and pushing cloud platforms to the next level. Here’s the deal: You'll tackle the unique challenges of cloud infrastructure, working alongside a team of brilliant minds to build scalable and reliable solutions. You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact. Whether you prefer working from home or vibing with us at our offices, the choice is yours. AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check. You will be responsible for: Design and lead cloud architectures on Azure , covering networking, security, governance, IaaS, PaaS and serverless solutions. Ensure the technical quality of proposals, RFP responses and solution definitions within the discipline. Own the shared knowledge strategy of the Chapters , ensuring relevant content, documentation and best practices are available. Lead the mentoring framework within the Chapter, enabling senior engineers to guide practitioners at all levels. Helps to identify strong technical talent across the company that aligns with the discipline. Identify emerging trends and opportunities, validating new services, accelerators and reusable assets. Own the infrastructure of AI-powered platforms , including conversational AI systems with: Retrieval-Augmented Generation (RAG), Document ingestion, processing and vector search and Integration with LLM providers and AI services. Build and evolve CI/CD pipelines for both application and infrastructure, following DevSecOps best practices. Develop Infrastructure as Code (Terraform) with a strong focus on reusability, scalability and maintainability. Design and operate production-grade environments , ensuring: High availability and performance, monitoring, logging and observability and cost optimization and reliability Collaborate closely with AI, data and software teams to productionize ML/LLM solutions (MLOps mindset). Actively propose improvements and new technical approaches , contributing to architectural decisions and technical roadmaps. Work in Agile, autonomous, multidisciplinary teams , with real ownership from design to production. Requirements Strong experience with Microsoft Azure in real production environments. 8+ years of hands-on experience in Cloud / Platform Engineering roles. Ability to engage with clients , understand their needs, and design technical proposals tailored to business goals. Experience in technical presales , including demos, solutioning, and proposal writing. Capable of leading projects independently and mentoring other engineers. Proven experience designing and implementing IaaS, PaaS and cloud-native architectures . Solid knowledge of networking, security and governance models in cloud environments. Experience with Azure DevOps (Repos, Pipelines) or similar and CI/CD practices. Strong background in Infrastructure as Code (Terraform) . Experience monitoring and operating high-traffic, production web platforms . Familiarity with AI/ML or LLM-based platforms in production environments. Comfortable working with Agile methodologies , Jira and Confluence. Fluent English (mandatory) — you’ll work daily with international teams and clients. Very nice to have: Experience in hybrid and multi-cloud environments (AWS / GCP). Kubernetes and conta