Cloud Engineer - Contract Role - Azure | .Net

Our enterprise technology organization is seeking a Cloud Engineer to support our Solutions Management Group. This role will work primarily with the enterprise team and will focus on 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, as appropriate to the solution.

• Design, implement, and support secure, scalable, and reliable solutions in Azure and AWS environments.
• Deploy and manage cloud infrastructure and platform services in support of application modernization, integration, and enterprise solution delivery.
• Support cloud migration, integration, and modernization efforts across a range of enterprise business processes.
• 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 Azure infrastructure and networking components such as Virtual Machines, Virtual Networks, Network Security Groups, VPN Gateway, and ExpressRoute.
• Work with AWS services such as EC2, S3, VPC, Lambda, and RDS in support of secure and reliable cloud solutions.
• Support containerization and orchestration using technologies such as 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.
• Apply knowledge of networking and infrastructure concepts, including DNS, Active Directory, firewalls, load balancers, and virtual networking.
• Support GPT-enabled solution capabilities, including prompt engineering, intelligent chatbots, document summarization, semantic search, and related business use cases.
• Apply awareness of token usage, cost management, performance optimization, content filtering, and compliance considerations when deploying GPT-based solutions in production cloud environments, including enterprise and compliance-regulated contexts.

Work Location: Hybrid with two days onsite in Mechanicsburg, PA. Schedule can be discussed during the interview.

Work Hours: 8:00 AM to 5:00 PM (one-hour lunch)

Start Date: Tentative upon successful completion and approval of required background checks and clearances.

This position is available to candidates nationwide, but the candidate must be ready to relocate for this hybrid role (60% remote / 40% onsite). The candidate must go onsite on their first day to pick up company-issued equipment, badging, etc. Role is contingent on passing required background and security checks.

Required Experience

• Seven years of relevant experience, The ideal candidate will bring strong hands-on experience in cloud engineering, application modernization, workload migration, and DevOps-enabled delivery. Candidates must be able to demonstrate direct personal experience performing this work in prior projects and engagements. Experience limited to general team participation will not be sufficient.

This role also requires the ability to support applied AI solution patterns, including GPT model integration, prompt engineering, and enterprise use cases such as summarization, semantic search, and intelligent chatbot capabilities., Seven years of relevant experience as a Cloud Engineer Required 7 Four-year college degree or equivalent technical study Required Azure cloud platform experience, including application, storage, and networking services Required 5 AWS cloud platform experience, including compute, storage, and networking services Required 5 Cloud-native application development and integration experience Required 4 .NET, .NET Core, and C# Highly desired 4 Python programming Highly desired 4 CI/CD and DevOps tool experience Highly desired 3 AI model integration and prompt engineering Highly desired 1 AI-driven application development, including chatbot, summarization, or semantic search use cases Highly desired 1 AWS Certified Solutions Architect Highly desired Azure Fundamentals or Azure Solution Architect certification Highly desired