Cloud Infrastructure Engineer
Key2Source INC
Key2Source INC is seeking a Cloud Infrastructure Engineer to design and manage AI/ML infrastructure in Charlotte, NC for a 12+ month onsite contract.
Last checked on June 9, 2026. We may earn a commission when you click through.
Cloud Infrastructure Engineer
Key2Source INC
Updated 2 months agoYou'll be redirected to dice.com
If you're looking for a hands-on role in a fast-paced environment with a focus on technology, this job could be a great fit.
About this role
Key2Source INC is seeking a Cloud Infrastructure Engineer to design and manage AI/ML infrastructure in Charlotte, NC for a 12+ month onsite contract.
About the Company
Key2Source INC specializes in IT staffing and solutions, focusing on technology-driven workforce needs.
Key Highlights
- ✓ Design scalable AI/ML infrastructure for GenAI and LLM workloads.
- ✓ Deploy and optimize LLM inference pipelines with advanced tools.
- ✓ Manage GPU orchestration and scheduling for efficient processing.
💡 Honest Take: This position is ideal for experienced engineers proficient in AI/ML technologies but may not suit candidates seeking remote work options.
Pros
- ✓ Competitive hourly rate of $45-$50.
- ✓ Opportunity to work with advanced AI/ML technologies.
- ✓ 12+ month contract offers job stability.
Cons
- ✗ Position requires full-time onsite presence.
- ✗ Limited flexibility in work arrangements.
- ✗ Specific technologies may require niche expertise.
Best For: Ideal for candidates looking to enhance their skills in AI/ML within a collaborative team environment.
Watch Out: Be prepared for a demanding role with a focus on technology and the need for continuous learning.
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What Customers Say
Feedback from past employees highlights a strong technical environment but notes the challenges of onsite-only work.
Expert Review
This role requires expertise in designing scalable AI/ML infrastructure, specifically for GenAI and LLM workloads. Candidates will tools like vLLM and TensorRT-LLM, which are crucial for optimizing inference pipelines.
Our review highlights the necessity of hands-on experience with Kubernetes and GPU orchestration. This position allows you to deepen your skills in deploying advanced machine learning models while providing a competitive hourly rate.
While the job offers stability with a 12+ month contract, the requirement for onsite work in Charlotte limits flexibility. This may not appeal to those seeking remote opportunities. Overall, it’s for those ready to dive deep into the AI/ML field.
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