Job Description

Location: Mechanicsburg, PA - LOCAL CANDIDATES ONLY

Position Type: Hybrid 
Hybrid Schedule: 2 days onsite 
Contract Length: Long-term with annual extensions


This role is for an experienced Cloud Engineer responsible for designing, building, and supporting scalable cloud-native solutions across Azure and AWS environments, with a strong focus on application modernization and DevOps practices. The position also involves integrating AI-driven capabilities such as GPT-based solutions to enhance enterprise applications and business processes.

Required Skills:

• 7 years of relevant experience working as a Cloud Engineer
• Bachelor’s degree (or equivalent technical study) in a related field
• 5 years of hands-on experience with Azure cloud platform, including application, storage, and networking services
• 5 years of hands-on experience with AWS cloud platform, including compute, storage, and networking services
• Design, develop, implement, and support cloud-native applications, services, and APIs using technologies such as NET, .NET Core, containers, and Python
• 4 years of experience in cloud-native application development and integration

Duties:

• Build and maintain secure, scalable, and reliable solutions across Azure and AWS cloud platforms
• Deploy and manage cloud infrastructure and platform services to support modernization and enterprise solution delivery
• Lead and support cloud migration, integration, and modernization initiatives
• Utilize Azure services including App Service, Service Bus, API Management, Logic Apps, Azure Functions, and various storage solutions
• Configure and manage Azure infrastructure components such as Virtual Machines, Virtual Networks, Network Security Groups, VPN Gateway, and ExpressRoute
• Work with AWS services including EC2, S3, VPC, Lambda, and RDS to deliver cloud solutions
• Implement containerization and orchestration using Docker, Kubernetes, AWS ECS, Azure AKS, and related technologies
• Develop and maintain CI/CD pipelines using tools such as Azure DevOps, GitHub, Artifactory, and NuGet
• Apply software engineering best practices, including SDLC, architecture, and data management principles
• Contribute to technical design, implementation planning, and engineering analysis activities
• Apply networking and infrastructure knowledge including DNS, Active Directory, firewalls, load balancing, and virtual networking
• Design and support AI-enabled solutions, including prompt engineering, chatbots, summarization, and semantic search capabilities
• Manage considerations for GPT-based solutions such as token usage, cost optimization, performance, content filtering, and compliance in production environments