Cloud Engineer

We are seeking an experienced Cloud Engineer to support enterprise-level cloud initiatives, application modernization efforts, and cloud infrastructure operations. The selected consultant will be responsible for designing, implementing, and maintaining scalable cloud solutions across Microsoft Azure and Amazon Web Services (AWS) environments.

This role requires a strong engineering background with direct hands-on experience delivering cloud-native solutions, migration projects, infrastructure automation, and DevOps practices. Candidates should be able to demonstrate individual ownership and technical contribution on prior cloud initiatives.

The position also involves supporting modern AI-enabled capabilities, including large language model integrations, prompt design, intelligent search, document summarization, and conversational AI solutions.

Work Arrangement

• Hybrid schedule required

• Approximately 60% remote / 40% onsite

• Candidate must be willing to work onsite as required

• Initial onsite attendance will be required for equipment issuance, onboarding, security processing, and related activities

• Standard business hours: 8:00 AM - 5:00 PM with a one-hour lunch break

Candidates located outside the local area are welcome to apply but must be willing to relocate or commute to meet onsite requirements.

Employment commencement is contingent upon successful completion of all required background and security clearance procedures.

Responsibilities

• Design and implement cloud-based applications, services, APIs, and supporting infrastructure.

• Develop and maintain cloud-native solutions utilizing technologies such as .NET, .NET Core, C#, Python, containers, and related development frameworks.

• Build and support secure, scalable, highly available architectures within Azure and AWS environments.

• Participate in cloud migration initiatives, workload modernization projects, and enterprise integration efforts.

• Configure and manage cloud networking, compute, storage, and security services.

• Support containerized workloads using platforms such as Docker and Kubernetes.

• Implement and maintain CI/CD pipelines and DevOps automation processes.

• Collaborate with technical and business teams on solution architecture, engineering analysis, and implementation planning.

• Apply software development lifecycle (SDLC) best practices throughout project delivery.

• Support AI-enabled solutions including:

• Prompt engineering

• Intelligent assistants

• Semantic search

• Document summarization

• Knowledge retrieval solutions

• Evaluate performance, cost optimization, security controls, governance, and compliance considerations associated with cloud-hosted AI workloads.

Do you have experience in Network management?, Candidates should have practical experience working with services such as:

• App Services

• Functions

• Logic Apps

• API Management

• Service Bus

• Azure SQL Database

• Azure SQL Managed Instance

• Storage Services (Blob, File, Table)

• Virtual Machines

• Virtual Networks

• Network Security Groups

• VPN Connectivity

• ExpressRoute

AWS Experience

Candidates should have experience supporting and deploying solutions utilizing:

• EC2

• S3

• VPC

• Lambda

• RDS

• Related AWS infrastructure services

Required Qualifications

• Minimum seven (7) years of relevant cloud engineering experience

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent technical experience

• Five (5) years of Microsoft Azure experience including networking, storage, and application services

• Five (5) years of Amazon Web Services experience including compute, storage, and networking solutions

• Four (4) years of experience building or integrating cloud-native applications

Preferred Qualifications

• Four (4) years of experience with .NET, .NET Core, and C#

• Four (4) years of Python development experience

• Three (3) years working with DevOps and CI/CD platforms

• One (1) year of experience integrating AI models and developing prompt-based solutions

• One (1) year of experience building AI-powered applications such as chatbots, summarization tools, or semantic search solutions

• AWS Certified Solutions Architect certification

• Azure Fundamentals or Azure Solution Architect certification

Candidate Requirements

Applicants must be willing to:

• Complete all required background investigations, including fingerprinting where applicable

• Work within a hybrid operating model and attend onsite activities as required

• Support enterprise cloud initiatives within a highly regulated environment

1920 Technology Parkway, Mechanicsburg, PA 17050 Hybrid work $60 - $65 an hour - Contract, Pulled from the full job description

• 401(k)
• Health insurance
• Flexible schedule, * 401(k)
• Flexible schedule
• Health insurance