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Job Summary:
Leggett & Platt is seeking a Senior Azure Cloud Engineer to join our engineering team at the IDEA Center in Lenexa, Kansas. This role involves designing, deploying, and managing cloud infrastructure within Microsoft Azure, focusing on Infrastructure as Code, CI/CD automation, and collaboration across IT teams to enhance product delivery.
Responsibilities:
• Design, implement, and maintain Azure cloud infrastructure using Bicep as the primary Infrastructure as Code (IaC) language, ensuring environments are repeatable, version-controlled, and auditable.
• Architect and manage CI/CD pipelines using Azure DevOps, enabling automated build, test, and deployment workflows across development, staging, and production environments.
• Lead implementation of Blue/Green and canary deployment strategies to enable zero-downtime releases and rapid rollback capabilities.
• Own deployment management practices across multiple environments, including environment promotion workflows, release gates, and deployment approvals.
• Manage Azure networking components including Virtual Networks, Network Security Groups, Private Endpoints, Azure Firewall, and Application Gateway.
• Configure and maintain Azure Kubernetes Service (AKS) and/or Azure Container Apps for containerized workload deployments.
• Implement and manage observability solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system health and rapid incident response.
• Enforce cloud governance through Azure Policy, RBAC, Managed Identities, and security baselines aligned with organizational compliance requirements.
• Drive FinOps practices including cost monitoring, resource tagging standards, and optimization recommendations across Azure subscriptions.
• Serve as a key liaison between the IDEA Center engineering team and IT teams across multiple business units, aligning on infrastructure standards, shared services, and deployment practices to enable consistent, reliable delivery organization-wide.
• 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.
Qualifications:
Required:
• 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.
• Experience with containerization and orchestration (Docker, AKS, or Azure Container Apps).
• Strong understanding of Agile/DevOps methodologies and the software development lifecycle.
• Excellent troubleshooting skills with the ability to diagnose infrastructure, networking, and deployment issues under pressure.
• Exceptional collaboration and communication skills, with a proven ability to build relationships and work effectively across IT teams spanning multiple business units; able to translate technical concepts for non-technical stakeholders and drive alignment without direct authority.
Preferred:
• Experience with Azure AI services or integrating AI/ML workloads into cloud infrastructure (Azure OpenAI, Azure Machine Learning, Azure Cognitive Services).
• Familiarity with agentic AI concepts and tooling, including orchestrating AI agents, integrating large language model (LLM)-based workflows into cloud pipelines, and leveraging frameworks such as Azure AI Agent Service, Semantic Kernel, or LangChain to automate operational and development tasks.
• Familiarity with Terraform as an alternative IaC tool alongside Bicep.
• Experience with GitOps workflows and tools such as Flux or ArgoCD for Kubernetes-based deployments.
• Knowledge of Azure API Management for managing and securing APIs at scale.
• Experience with infrastructure drift detection and compliance tooling (Azure Policy, Checkov, tfsec).
• Exposure to FinOps frameworks and Azure Cost Management tooling.
• Relevant Azure certifications such as AZ-104 (Azure Administrator), AZ-400 (DevOps Engineer Expert), or AZ-305 (Solutions Architect Expert).
Company:
Leggett & Platt designs and manufactures products used across bedding, furniture, automotive seating, and industrial applications. Founded in 1883, the company is headquartered in Carthage, USA, with a team of 10001+ employees. The company is currently Late Stage.