(Internal position) Principal Cloud Engineer

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📍 Spain
📅 Posted 2026-07-01 · via Himalayas
🏷 Cloud-Engineer,Cloud-Architect,DevOps-Engineer,Platform-Engineer,Site-Reliability-Engineer,Principal-Cloud-Engineer,Principal-Cloud-Architect,Cloud-DevOps-Engineer,Principal-Technical-Specialist-Cloud
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🚀 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:

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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.

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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.

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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.

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Build and evolve CI/CD pipelines for both application and infrastructure, following DevSecOps best practices.

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Develop Infrastructure as Code (Terraform) with a strong focus on reusability, scalability and maintainability.

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Design and operate production-grade environments , ensuring: High availability and performance, monitoring, logging and observability and cost optimization and reliability

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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
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Strong experience with Microsoft Azure in real production environments.

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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.

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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).

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Kubernetes and container orc

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