Data Infrastructure & AI Platform Engineer (Claude + AWS)
Job Title: Data Infrastructure & AI Platform Engineer (Claude + AWS)
Location: 100% Remote (East Coast Candidates Only / EST Time Zone Required)
Duration: 6–12+ Months (Possible Extension)
Client: Confidential (Details to be shared by the vendor after initial discussion)
Visa: GC-EAD, -EAD (MUST BE GENUNIE)
Interview: 2-3 Video round
LinkedIn Profile with Picture
NOTE: Please do not submit or share any fraudulent s (GC), Employment Authorization Documents (EAD), or other falsified work authorization documents. Any suspected immigration or employment-related fraud may be reported to the appropriate authorities, including U.S. Immigration and Customs Enforcement (ICE). If your candidate is a , please provide a copy of the or the official USCIS welcome/approval notice for verification purposes, as this documentation is required prior to candidate submission.
Experience Skill Matrix in Years:
1. Total Experience: Years
2. US Experience (Onsite): Years
3. Claude / Claude Code: Years
4. AWS Cloud Services: Years
5. Data Infrastructure & Data Pipelines: Years
6. Cloud Automation & DevOps: Years
7. Python Scripting: Years
8. Infrastructure as Code (Terraform/CloudFormation): Years
9. CI/CD Pipelines: Years
10. Docker & Kubernetes: Years
11. API Integrations: Years
12. Linux Administration: Years
13. Monitoring & Logging Tools: Years
14. AI Productivity & Developer Tools: Years
Job Summary:
We are looking for a hands-on engineer with strong experience in AWS cloud and AI productivity/coding tools such as Claude. This role is focused more on data infrastructure, cloud engineering, automation, and AI platform integration rather than traditional application development. The ideal candidate should have experience building scalable cloud environments, supporting AI-enabled workflows, and working with modern data pipelines and infrastructure services.
Job Description:
We are seeking a Data Infrastructure & AI Platform Engineer with 8–10 years of IT experience and at least 2-3 years of experience working with AI coding/productivity tools such as Claude or Claude Code. The role will focus on AWS cloud infrastructure, AI-enabled engineering workflows, automation, and scalable data platform support.
Responsibilities:
• Build and manage AWS cloud infrastructure for AI/data platforms
• Support AI engineering workflows using Claude and related AI tools
• Develop and maintain data pipelines and cloud-based integrations
• Automate infrastructure deployment and operational processes
• Work with DevOps and CI/CD pipelines for scalable deployments
• Monitor system performance, security, and reliability
• Collaborate with engineering and data teams on infrastructure improvements
• Support containerized environments using Docker/Kubernetes
Required Qualifications
• 8–10 years of experience in Information Technology
• 2+ years of experience with Claude, Claude Code, or similar AI engineering tools
• Strong experience with AWS cloud services
• Experience with Python scripting and automation
• Knowledge of cloud infrastructure, DevOps, and data platforms
• Experience with Docker, Kubernetes, or containerized deployments
• Good understanding of APIs and system integrations
• Strong troubleshooting and communication skills
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Location: 100% Remote (East Coast Candidates Only / EST Time Zone Required)
Duration: 6–12+ Months (Possible Extension)
Client: Confidential (Details to be shared by the vendor after initial discussion)
Visa: GC-EAD, -EAD (MUST BE GENUNIE)
Interview: 2-3 Video round
LinkedIn Profile with Picture
NOTE: Please do not submit or share any fraudulent s (GC), Employment Authorization Documents (EAD), or other falsified work authorization documents. Any suspected immigration or employment-related fraud may be reported to the appropriate authorities, including U.S. Immigration and Customs Enforcement (ICE). If your candidate is a , please provide a copy of the or the official USCIS welcome/approval notice for verification purposes, as this documentation is required prior to candidate submission.
Experience Skill Matrix in Years:
1. Total Experience: Years
2. US Experience (Onsite): Years
3. Claude / Claude Code: Years
4. AWS Cloud Services: Years
5. Data Infrastructure & Data Pipelines: Years
6. Cloud Automation & DevOps: Years
7. Python Scripting: Years
8. Infrastructure as Code (Terraform/CloudFormation): Years
9. CI/CD Pipelines: Years
10. Docker & Kubernetes: Years
11. API Integrations: Years
12. Linux Administration: Years
13. Monitoring & Logging Tools: Years
14. AI Productivity & Developer Tools: Years
Job Summary:
We are looking for a hands-on engineer with strong experience in AWS cloud and AI productivity/coding tools such as Claude. This role is focused more on data infrastructure, cloud engineering, automation, and AI platform integration rather than traditional application development. The ideal candidate should have experience building scalable cloud environments, supporting AI-enabled workflows, and working with modern data pipelines and infrastructure services.
Job Description:
We are seeking a Data Infrastructure & AI Platform Engineer with 8–10 years of IT experience and at least 2-3 years of experience working with AI coding/productivity tools such as Claude or Claude Code. The role will focus on AWS cloud infrastructure, AI-enabled engineering workflows, automation, and scalable data platform support.
Responsibilities:
• Build and manage AWS cloud infrastructure for AI/data platforms
• Support AI engineering workflows using Claude and related AI tools
• Develop and maintain data pipelines and cloud-based integrations
• Automate infrastructure deployment and operational processes
• Work with DevOps and CI/CD pipelines for scalable deployments
• Monitor system performance, security, and reliability
• Collaborate with engineering and data teams on infrastructure improvements
• Support containerized environments using Docker/Kubernetes
Required Qualifications
• 8–10 years of experience in Information Technology
• 2+ years of experience with Claude, Claude Code, or similar AI engineering tools
• Strong experience with AWS cloud services
• Experience with Python scripting and automation
• Knowledge of cloud infrastructure, DevOps, and data platforms
• Experience with Docker, Kubernetes, or containerized deployments
• Good understanding of APIs and system integrations
• Strong troubleshooting and communication skills
Apply tot his job
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