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.