(Internal position) Principal Cloud Engineer
Plain Concepts
Posted: March 23, 2026
Interested in this position?
Create a free account to apply with AI-powered matching
Quick Summary
We’re Growing Our Cloud Dream Team! As a Principal Cloud Engineer, you’ll craft tailor-made solutions that wow our clients. You’ll tackle the design, evolution, and scaling of cloud-native and AI-driven platforms.
Job Description
🚀 We’re Growing Our Cloud Dream Team!
As part of our international Cloud/DevOps squad, 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.
• 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.
Requirements:
Requirements
• ·Strong experience with Microsoft Azure in real production environments.
• 5+ years of hands-on experience in Cloud / DevOps / Platform Engineering roles.
• 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) 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.
Benefits:
1