Infrastructure & Cloud Engineer
Strategic Staffing Solutions
Charlotte, NC · Posted October 28, 2026
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Where Charlotte, NC ranks
Where Charlotte, NC placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best cities for manufacturing and industrial jobs645 openings · of 100
- #2Cities with the most jobs that do not need a four-year degree in the Southeast298 jobs · of 72
- #3Best cities for software and engineering jobs in the Southeast654 openings · of 65
- #5Best cities for financial services jobs726 openings · of 90
- #6Cities hosting the most business conferences in the Southeast13 conferences · of 21
- #8Best cities for healthcare pay after cost of living$143k · of 24
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
Infrastructure & Cloud Lab Engineer
Location: Charlotte, NC Experience Required: 5–7 Years Job Category: Infrastructure Engineering / Cloud Engineering / Lab Operations
Position Overview
We are seeking an experienced Infrastructure & Cloud Lab Engineer to support enterprise technology evaluation, testing, and innovation lab environments. This role will partner with engineering teams, architects, and project managers to deliver reliable infrastructure, cloud, endpoint, and lab services.
The ideal candidate has a strong background in infrastructure engineering, cloud platforms, systems administration, or lab engineering , combined with excellent troubleshooting and customer-facing skills.
This is an infrastructure-focused role, not a traditional software development, DevOps, CI/CD, application support, or Site Reliability Engineering (SRE) position.
Key Responsibilities
Partner with project teams to understand technical requirements and deliver appropriate lab solutions.
Provide technical guidance on lab capabilities, supported platforms, and infrastructure services.
Troubleshoot operating systems, cloud services, networking, connectivity, identity, proxy, and integration issues.
Administer and support Windows, macOS, Linux, iOS, and Android environments.
Support virtualization and cloud technologies, including VMware, Hyper-V, Kubernetes, Microsoft Azure, and Google Cloud Platform (GCP).
Automate infrastructure provisioning and configuration using PowerShell, Bash, Terraform, or similar tools.
Develop technical documentation, troubleshooting guides, and operational procedures.
Collaborate with infrastructure engineers on platform upgrades, enhancements, and new technology implementations.
Support proof-of-concept testing, sandbox environments, and emerging technology evaluations.
Required Qualifications
5–7 years of experience in infrastructure engineering, cloud engineering, systems administration, or lab engineering.
Strong hands-on experience with Windows, macOS, Linux, and endpoint technologies.
Experience supporting VMware, Hyper-V, Kubernetes, Azure, or GCP environments.
Solid understanding of networking, storage, compute, identity management, and security.
Experience troubleshooting complex infrastructure, cloud, and platform integration issues.
Familiarity with infrastructure automation tools such as PowerShell, Bash, or Terraform.
Strong communication, customer service, documentation, and problem-solving skills.
Ability to work directly with engineering teams, architects, and project stakeholders.
Preferred Qualifications
Experience supporting enterprise innovation labs, proof-of-concept environments, or pre-production testing platforms.
Experience with hybrid and multi-cloud infrastructure.
Exposure to AI/ML platforms, emerging technologies, and enterprise SaaS solutions.
Knowledge of endpoint management, proxy services, secure connectivity, and access management.
Experience evaluating and integrating new technologies alongside vendors and engineering teams.
Cloud, virtualization, infrastructure, or security certifications are a plus.