Senior Azure Cloud Engineer

Job summary

Date Jun 23, 2026 Location Lenexa, Kansas, United States Company Leg*** Leg*** is seeking a Senior Azure Cloud Engineer to join our engineering team at the IDEA Center in Lenexa, Kansas. This is an excellent opportunity to be part of a close-knit team in a global organization.

Qualifications

• Drive FinOps practices including cost monitoring, resource tagging standards, and optimization recommendations across Azure subscriptions.
• Implement disaster recovery and high availability architectures to meet defined RTO/RPO targets.
• Evaluate and integrate AI-assisted operations tooling and Azure AI services to improve platform reliability and developer productivity.
• To be successful in this role, you will need:
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.
• 7+ years of hands-on cloud engineering experience, with 3+ years focused on Microsoft Azure.
• Expert-level proficiency in Bicep for Infrastructure as Code; ability to author, test, and maintain modular Bicep templates across complex environments.
• Proven experience designing and managing CI/CD pipelines with Azure DevOps Pipelines, including multi-stage pipelines, environment approvals, and artifact management.
• Demonstrated experience implementing Blue/Green, canary, or feature-flag-based deployment patterns in production environments.
• Strong command of Azure networking: VNets, NSGs, Private Endpoints, DNS, Load Balancers, and Application Gateway.
• Solid understanding of Azure security fundamentals: Azure Active Directory / Entra ID, RBAC, Managed Identities, Key Vault, and Defender for Cloud.
• Proficiency in PowerShell and/or Azure CLI for scripting, automation, and operational tasks.

Responsibilities

• In this position, you will own the design, deployment, and ongoing operation of cloud infrastructure within Microsoft Azure, enabling reliable and scalable product delivery across our development teams.
• You will bring deep expertise in Infrastructure as Code, CI/CD automation, and deployment strategies that minimize risk and maximize uptime.

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