Cloud Engineer

Crescens Inc.

Mechanicsburg, PA

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JOB DETAILS

SKILLS

AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Integration, Application Programming Interface (API), Artificial Intelligence (AI), Business Case, Business Processes, Cloud Applications, Cloud Computing, Content Filtering Software, Continuous Deployment/Delivery, Continuous Integration, Conversation Engine, Cost Control, DNS (Domain Name System), Data Management, DevOps, Docker, Firewalls, GitHub, Government, Infrastructure as a Service (IaaS), Load Balancing, Microsoft .NET, Microsoft Active Directory, Microsoft C# (C Sharp), Microsoft Windows Azure, Network Security, Performance Tuning/Optimization, Production Systems, Public Safety, Python Programming/Scripting Language, SQL (Structured Query Language), SQL Databases, Semantic Search, Software Administration, Software Architecture, Software Development, Software Development Lifecycle (SDLC), Software Engineering, Technical/Engineering Design, Use Cases, VPN (Virtual Private Network), Virtual Machine (VM)

LOCATION

Mechanicsburg, PA

POSTED

30+ days ago

Job title : Cloud Engineer
Location: Mechanicsburg, PA (weekly two days onsite)
Duration : 12+ Months Contract
Type : Contract

Job Description

The Client is seeking a Cloud Engineer to support the PSDC Solutions Management Group. This role will work primarily with the PSDC 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.

Role Description

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.

Required Skills:

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

About the Company

Crescens Inc.

Crescens Inc. is an industry leader in providing IT staffing services and tailored workforce solutions to meet the demanding expectations and distinctive needs of clients across the United States and Canada. We have grown tremendously in the past years and have been applauded by our clients for the quality of workforce and the quick turnaround time. We have evolved from good service to great service and all management plans are geared towards quality.

Our vision is to be the best in Talent Acquisition and strive for excellence consistently by focusing on four performance dimensions; Quality, Efficiency, Cost and Risk. A satisfied client and candidate are the backbone to our continued success. Headquartered in New Jersey, we are a team with unique expertise to deliver exceptional results to our clients by setting benchmarks and establishing best practices.

COMPANY SIZE

20 to 49 employees

INDUSTRY

Computer/IT Services

FOUNDED

2002

WEBSITE

http://crescensinc.com/

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