Cloud Engineer

This role involves designing, developing, implementing, and supporting cloud-native solutions in Microsoft Azure and Amazon Web Services (AWS).

• Design, develop, implement, and support cloud-native applications, services, and APIs using technologies such as .NET, .NET Core, containers, Python, and related tools.
• Design, implement, and support secure, scalable, and reliable solutions in Azure and AWS environments.
• Deploy and manage cloud infrastructure and platform services to support application modernization and enterprise solution delivery.
• Work with Azure services such as App Service, Service Bus, API Management, Logic Apps, Azure Functions, Azure SQL Managed Instance, Azure SQL Database, Blob Storage, File Storage, and Table Storage.
• Work with AWS services such as EC2, S3, VPC, Lambda, and RDS.
• Support containerization and orchestration using Docker, Kubernetes, AWS ECS, Azure AKS, Azure Container Apps, and similar platforms.
• Support CI/CD pipelines and DevOps practices using tools such as Azure DevOps, GitHub, Artifactory, and NuGet.
• Apply software engineering, software architecture, SDLC, and data management practices throughout the delivery lifecycle.
• Contribute to technical solution design, implementation planning, engineering analysis, and related business and technical review activities.
• Support GPT-enabled solution capabilities, including prompt engineering, intelligent chatbots, document summarization, semantic search, and related business use cases.

Skills and Experience

• Seven years of relevant experience in cloud engineering.
• Four-year college degree or equivalent technical study.
• Five years of Azure cloud platform experience, including application, storage, and networking services.
• Five years of AWS cloud platform experience, including compute, storage, and networking services.
• Four years of cloud-native application development and integration experience.
• Highly desired experience with .NET, .NET Core, C#, and Python programming.
• CI/CD and DevOps tool experience (3 years highly desired).
• Experience with AI model integration and prompt engineering (1 year highly desired).
• AI-driven application development experience, including chatbot, summarization, or semantic search use cases (1 year highly desired).
• Highly desired certifications: AWS Certified Solutions Architect, Azure Fundamentals or Azure Solution Architect certification.