Principal Cloud Engineer

🚀 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.
• 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.

• 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 container orchestration knowledge.
• Experience with GitHub and GitHub Actions.
• MLOps practices (model lifecycle, deployment, monitoring, retraining).
• Scripting skills (PowerShell, Bash, Python).
• Software development background (Python, Go,.NET or similar).
• Experience with observability tools (Azure Monitor, App Insights, Prometheus, Grafana, etc.).
• A proactive mindset: autonomy, technical leadership and continuous improvement.