Senior Software Engineer - Item Modernization (Hybrid)

2+ years of experience working with modern engineering practices, including containerization (Docker), orchestration (Kubernetes or OpenShift), and application monitoring or observability tools such as Azure Monitor, Prometheus, or Grafana. 2+ years of experience working with cloud-native and platform services in Microsoft Azure, including services such as Azure App Service, Stream Analytics, or Redis Cache.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related analytical field, or equivalent practical experience
• 5+ years of software engineering experience building and delivering production-grade applications
• 5+ years of experience developing backend systems using .NET and C#
• 3+ years of experience working with relational databases such as SQL Server, including schema design and complex query development
• 3+ years of experience translating business needs into scalable, high-quality technical solutions
• 2+ years of experience working with modern development practices, including version control, CI/CD pipelines, and automated deployments (Azure DevOps or similar tools)
• 1+ year of experience developing front-end applications using modern frameworks such as Angular, React, or similar technologies

Preferred Qualifications

• 7+ years of software engineering experience, with a proven track record of delivering complex, large-scale enterprise applications
• 5+ years of experience implementing large-scale enterprise applications, including designing solutions that scale across multiple systems and teams
• 2+ years of experience working with cloud-native and platform services in Microsoft Azure, including services such as Azure App Service, Stream Analytics, or Redis Cache
• 2+ years of experience working with modern engineering practices, including containerization (Docker), orchestration (Kubernetes or OpenShift), and application monitoring or observability tools such as Azure Monitor, Prometheus, or Grafana
• 1+ years of hands-on experience working with Databricks or similar large-scale data processing platforms, including optimizing pipelines and data workflows

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