Cloud Engineer

Hybrid (Onsite 2 days/week)

Description:

Diversified Systems is searching for a Cloud Engineer to support who 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).

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.

Responsibilities:

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 PSDC 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 government and public safety contexts.

Requirements:

7 years of relevant experience as a Cloud Engineer required.
4 years of four-year college degree or equivalent technical study required.
5 years of Azure cloud platform experience, including application, storage, and networking services required.
5 years of AWS cloud platform experience, including compute, storage, and networking services required.
4 years of cloud-native application development and integration experience required.
4 years of .NET, .NET Core, and C# highly desired.
4 years of Python programming highly desired.
4 years of CI/CD and DevOps tool experience highly desired.
3 years of AI model integration and prompt engineering highly desired.
1 years of AI-driven application development, including chatbot, summarization, or semantic search use cases highly desired.
1 years of AWS Certified Solutions Architect highly desired.
Azure Fundamentals or Azure Solution Architect certification highly desired.

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