Senior Azure Platform Engineer

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. It helps organizations turn AI strategy into production-ready solutions for real transformation. Xebia operates as a single global team with client-facing teams in the US and Europe, nearshore capacity in Poland and Latin America, and a large offshore hub in India, combining local expertise with global reach. This hybrid model enables faster time-to-value and access to specialized digital and AI talent.

• 7+ years of experience in cloud infrastructure, cloud networking, and platform engineering with demonstrable Azure delivery at scale
• Experience applying the Azure Well-Architected Framework (Security, Reliability, Cost Optimization, Operational Excellence, Performance Efficiency)
• Deep hands-on experience with Terraform, including module design and state management
• Strong hands-on experience with Azure networking and security: connectivity, segmentation, hybrid infrastructure, identity, governance, and security controls
• Experience designing and managing infrastructure CI/CD and GitOps processes, with strong scripting skills in Python or PowerShell
• Deep experience with Azure observability: monitoring, logging, application insights, and alerting
• Experience building developer-facing platforms, templates, onboarding flows, or similar developer experience improvements
• Practical experience applying Generative AI tools to development, diagnostics, automation, or infrastructure tasks

Nice to have:

• GenAI
• Linux
• Jira

• Designing, implementing, and operating secure and scalable Azure platform capabilities
• Building and managing infrastructure using Terraform and Infrastructure as Code
• Leading Azure networking, including connectivity, routing, segmentation, and hybrid infrastructure
• Implementing security policies, governance, and platform guardrails
• Applying the Azure Well-Architected Framework to drive platform design and continuous improvement
• Designing and maintaining CI/CD and GitOps processes for infrastructure
• Developing automation and observability solutions using Azure-native tools and scripting
• Building developer-facing platform capabilities, reusable templates, and self-service solutions
• Applying Generative AI to infrastructure development, diagnostics, automation, and operational troubleshooting
• Collaborating with technical teams, mentoring engineers, and supporting the adoption of platform engineering practices