Principal Cloud Engineer, Plain Concepts

• 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

Desirable

• 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
• 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

• Phone screen
• 2 interviews with the team 🤘