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Required/minimum qualifications
Azure Kubernetes & Containers: Experience with Docker, Kubectl, shell scripting, Pod design & configuration, operations and monitoring, and container tools such as Prometheus, Twistlock, or Sysdig.
Dependable Microservices Architecture Background: Demonstrated experience in designing and implementing microservices architecture, including service decomposition, service boundaries, API design, and inter-service communication. Familiarity with patterns like Circuit Breaker, Service Registry, and API Gateway.
Development Languages and .NET Technologies: Proficiency in development languages such as C#, JavaScript, PHP, Python, and experience with .NET technologies up to the latest version, including .NET Core, .NET Standard, and ASP.NET Core.
Azure DevOps: Expertise with Azure DevOps, GitHub, Terraform, ARM Templates, YAML, PowerShell, Python or other scripting languages, CI/CD, Unit/UI Testing.
Cloud Technologies: Familiarity with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform, and the ability to design microservices to leverage cloud-native services.
Databricks Experience: Proven experience with Databricks, including leveraging Apache Spark for large-scale data processing and analytics. Expertise in building and optimizing data ingestion and transformation pipelines using Databricks, and integrating Databricks with BI tools like Power BI for advanced analytics. Skilled in managing and utilizing both static and streaming data for batch and real-time processing, ensuring robust data infrastructure.
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