Cloud Engineer

LingaTech•Mechanicsburg, PA

4d•Hybrid

About The Position

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.

Requirements

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
4 years of experience in cloud-native application development and integration

Responsibilities

Design, develop, implement, and support cloud-native applications, services, and APIs using technologies such as .NET, .NET Core, containers, and Python
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