Senior Azure Cloud Engineer

• Conduct thorough technical reviews of complex pull requests covering .NET/C# application code, Terraform infrastructure, and CI/CD pipeline configurations
• Ensure code quality, technical correctness, architectural consistency, and adherence to established engineering standards
• Review Terraform configurations, module structures, state management practices, and infrastructure changes to identify potential risks
• Evaluate GitHub Actions workflows, deployment configurations, and automation processes for reliability, security, and maintainability
• Identify infrastructure drift, security vulnerabilities, breaking configuration changes, and potential deployment issues before production releases
• Contribute to the improvement and standardization of Terraform conventions, reusable modules, and CI/CD practices
• Mentor engineers through constructive code review feedback, technical discussions, and pair programming
• Participate in hands-on development and maintenance of .NET services, Azure infrastructure, and deployment automation
• Support modernization and migration of legacy .NET services to .NET 10 running on Azure Kubernetes Service
• Leverage AI-assisted development tools to support engineering productivity and code review processes

• 7+ years of professional software engineering or cloud engineering experience
• Strong hands-on expertise in Microsoft Azure
• Advanced Terraform expertise, including Infrastructure as Code, reusable module design, state management, infrastructure planning, and code review
• Strong experience with GitHub Actions, including reusable workflows, self-hosted or managed runners, secrets management, OIDC authentication, and environment-based deployment controls
• Solid experience with CI/CD, including deployment automation and release management using Octopus Deploy or comparable tools
• Strong working knowledge of C# and .NET
• Hands-on experience with Kubernetes and Azure Kubernetes Service (AKS)
• Experience reviewing complex pull requests across application code, cloud infrastructure, and CI/CD pipelines
• Good understanding of cloud security practices, including Azure Key Vault, managed identities, access management, and logging and retention requirements
• Ability to identify infrastructure drift, configuration inconsistencies, security risks, and deployment-related issues
• Experience working with AI-assisted development tools and reviewing AI-generated code
• Strong understanding of software engineering best practices, maintainability, code quality, and architectural consistency
• Experience mentoring engineers and promoting consistent engineering standards across teams
• Strong analytical, problem-solving, and communication skills, with a detail-oriented and collaborative approach to engineering

• Equal opportunity employer
• Reasonable accommodation for qualified individuals with disabilities