

Wells Fargo
Full - Stack Engineering (contract)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Full-Stack Engineering contract in Irving, TX, lasting 12 months at a W2 pay rate. Key skills include Azure services, cloud architecture, LLMs, MLOps, and strong communication. U.S. work authorization is required; no visa sponsorship available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 26, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Monitoring #Azure Machine Learning #Docker #Consulting #Compliance #Cloud #AWS Lambda #Kubernetes #Azure #Azure DevOps #NLP (Natural Language Processing) #Deployment #AWS (Amazon Web Services) #Databases #SageMaker #ML (Machine Learning) #AI (Artificial Intelligence) #DevOps #Lambda (AWS Lambda) #NoSQL
Role description
Description
Title:full-stack engineering
Location: Irving, TX
Duration: 12 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Specialty Software Engineering. Review and analyze complex multi-faceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:
• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
•
• Experience with Azure Machine Learning, Azure Functions, Azure App Services, Azure DevOps, AWS Lambda, SageMaker, Google Vertex AI, Cloud Run, or related cloud services.
• Experience with LLMs, generative AI, NLP, retrieval-augmented generation (RAG), or prompt orchestration frameworks.
• Experience designing multi-cloud application architectures and integration patterns.
• Familiarity with Docker, Kubernetes, and container-based deployment models.
• Experience with MLOps practices, model lifecycle management, and production monitoring.
• Experience with relational, NoSQL, and vector databases.
• Strong communication, collaboration, and solution design skills in cross-functional environments.
Description
Title:full-stack engineering
Location: Irving, TX
Duration: 12 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Specialty Software Engineering. Review and analyze complex multi-faceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:
• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
•
• Experience with Azure Machine Learning, Azure Functions, Azure App Services, Azure DevOps, AWS Lambda, SageMaker, Google Vertex AI, Cloud Run, or related cloud services.
• Experience with LLMs, generative AI, NLP, retrieval-augmented generation (RAG), or prompt orchestration frameworks.
• Experience designing multi-cloud application architectures and integration patterns.
• Familiarity with Docker, Kubernetes, and container-based deployment models.
• Experience with MLOps practices, model lifecycle management, and production monitoring.
• Experience with relational, NoSQL, and vector databases.
• Strong communication, collaboration, and solution design skills in cross-functional environments.






