Lead Software Engineer, Microsoft Azure Technologies

• Design, develop, and maintain cloud-native applications on Microsoft Azure, particularly serverless and event-driven services.
• Build and operate scalable services using Azure Functions and related Azure platform services.
• Design and implement distributed systems and event-driven architectures that integrate with internal and external platforms.
• Contribute to the design and implementation of services that process high-volume data, real-time events, or integrations with external platforms.
• Collaborate with product, engineering, and security teams to define and deliver new capabilities.
• Prototype and evaluate new technical approaches while maintaining a focus on building production-grade services that can be scaled and operated in Azure.
• Ensure the performance, reliability, and security of applications across development, testing, and production environments.
• Troubleshoot and resolve complex technical issues across services and integrations.
• Stay current with emerging technologies and evaluate their applicability within BlueVoyant’s platform.

• 6+ years of professional software engineering experience building production applications.
• Strong experience developing cloud-native applications in Microsoft Azure, particularly serverless or event-driven architectures using services such as:
  • Azure Functions
  • Azure Service Bus
  • Azure Event Grid
  • Azure Storage
• Proficiency in C# / .NET for backend service development.
• Experience designing and implementing distributed or event-driven systems.
• Experience building and operating production systems in Azure, including monitoring, troubleshooting, and performance optimization.
• Demonstrated experience leading the design and implementation of complex software systems while remaining hands-on in development.
• Strong problem-solving skills and ability to work independently in a fast-moving environment.

• Experience building or contributing to multi-tenant SaaS platforms.
• Experience integrating Azure AI services or other cloud-based AI APIs.
• Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tooling.
• Experience working in security-focused or regulated environments.
• Experience rapidly prototyping solutions in R&D or innovation environments.

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