Cloud Engineer
Mechanicsburg, PA
Contracted
Experienced
Location: Mechanicsburg, PA - LOCAL CANDIDATES ONLY
Position Type: Hybrid
Hybrid Schedule: 2 days onsite
Contract Length: Long-term with annual extensions
Position Overview:
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:
Position Type: Hybrid
Hybrid Schedule: 2 days onsite
Contract Length: Long-term with annual extensions
Position Overview:
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
- 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
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