Sr Software Engineer Azure & Microsoft Cloud

Leggett & Platt•Lenexa, KS

1d•Onsite

About The Position

Leggett & Platt is seeking a Senior Software Engineer - Azure & Microsoft Cloud to join their engineering team at the IDEA Center in Lenexa, Kansas. This role offers an opportunity to be part of a close-knit team within a global organization. The engineer will be responsible for designing, building, and operating application services on the Microsoft Azure platform, with a focus on hands-on software development, cloud architecture, identity, and containerization. The ideal candidate is highly collaborative, writes high-quality code, possesses deep understanding of the Azure ecosystem, mentors others, and clearly communicates technical tradeoffs to diverse audiences.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.
5+ years of professional software development experience, including meaningful hands-on experience building and deploying applications on Microsoft Azure.
Strong proficiency in C# and/or Python for backend or service-oriented development.
Solid understanding of core Azure services: App Service, Functions, Azure SQL Database, Storage, and messaging services such as Service Bus or Event Grid.
Working knowledge of Microsoft Entra ID (Azure AD): authentication/authorization flows, app registrations, RBAC, and managed identities.
Experience designing and securing RESTful APIs, including OAuth2/OpenID Connect-based authentication patterns.
Hands-on experience with CI/CD pipelines, ideally Azure DevOps, including multi-stage builds and release approvals.
Familiarity with containerization concepts (Docker) and exposure to orchestration platforms such as Kubernetes or Azure Container Apps.
Proficiency with Git-based version control and Agile/Scrum delivery practices.
Strong troubleshooting and debugging skills spanning both application code and cloud infrastructure.
Excellent communication skills, with the ability to explain technical tradeoffs to both technical and non-technical audiences.
Demonstrated ability to mentor other engineers and elevate engineering practices through code review and knowledge sharing.

Nice To Haves

Production experience with Azure Kubernetes Service (AKS) or Azure Container Apps for containerized workload deployment.
Experience with Infrastructure as Code (Bicep, ARM templates, or Terraform).
Familiarity with Azure API Management for securing and managing APIs at scale.
Exposure to Azure AI services (Azure OpenAI, Azure Cognitive Services, Azure Machine Learning) or AI-assisted development workflows.
Experience with GitOps deployment workflows (Flux or ArgoCD) for Kubernetes-based environments.
Relevant Microsoft certifications such as AZ-104, AZ-204, AZ-400, or AZ-305.
Knowledge of Azure security fundamentals beyond the basics: Key Vault, Defender for Cloud, Azure Policy.
Experience with test automation and TDD/BDD practices.
Background in performance tuning or cost optimization (FinOps) for cloud-hosted applications.
Prior experience acting as a technical point of contact or informal team lead on a project, without formal management responsibility.

Responsibilities

Design, develop, and maintain scalable backend services and APIs using C#/.NET and Python, deployed on Microsoft Azure.
Architect cloud-native application components that integrate with Azure platform services such as Azure App Service, Azure Functions, Azure SQL Database, and Storage.
Implement secure authentication and authorization using Microsoft Entra ID (Azure AD), including app registrations, RBAC, and managed identities.
Design and consume RESTful APIs, applying secure integration patterns (OAuth2/OpenID Connect) across internal and external services.
Build and maintain CI/CD pipelines in Azure DevOps to automate build, test, and deployment across development, staging, and production environments.
Contribute to containerization efforts, packaging services with Docker and supporting deployment to Azure Kubernetes Service (AKS) or Azure Container Apps.
Partner with cloud/infrastructure engineering on networking, environment configuration, and deployment practices that keep application and platform concerns aligned.
Instrument applications for observability using Azure Monitor, Log Analytics, and Application Insights, and lead troubleshooting of production issues.
Participate in architecture and design discussions, weighing scalability, security, cost, and maintainability tradeoffs.
Conduct code reviews and mentor other engineers, sharing patterns and practices that raise the team's overall engineering quality.
Collaborate cross-functionally with product, QA, and business stakeholders, translating technical decisions into terms non-technical partners can act on.
Evaluate and help integrate AI-assisted development and Azure AI tooling to improve delivery speed and code quality.