Plain Concepts

Principal Cloud Engineer

🇪🇸 Remote, ES Remote IT Posted Apr 1, 2026
LocationRemote, ES
WorkplaceRemote
CategoryIT
IT CategoryDevOps / SRE
PostedApril 1, 2026
Last verifiedMay 7, 2026

🚀 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.

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