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Senior Infrastructure/Platform Engineer (AI Data Platform)

true-talent-solutions-partners • United States
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AI Summary

Build and secure scalable AI infrastructure for financial data processing, focusing on cloud-native architectures, security, and data governance. Design pipelines, monitoring, and compliance frameworks for regulated enterprise environments. Requires 5–10 years of experience in cloud platforms, Kubernetes, and security-focused infrastructure engineering.

Key Highlights
5–10 years of infrastructure/platform/data infrastructure engineering experience
Security-focused cloud architecture (AWS/GCP/Azure) with Kubernetes and data pipelines
Compliance expertise (SOC, SOX, GDPR, financial regulations) and AI platform familiarity (SageMaker/Bedrock)

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Key Responsibilities
Design scalable AI infrastructure for financial data processing
Build security-focused cloud architectures and data governance systems
Develop ingestion pipelines and monitoring/alerting for cloud deployments
Implement access controls, audit trails, and CI/CD practices
Technical Skills Required
Cloud Infrastructure (AWS/GCP/Azure) Kubernetes Data Governance & Security

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Benefits & Perks
Base salary: $150,000–$300,000 annually
Visa sponsorship available

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Nice to Have
Experience with AI platforms (SageMaker/Bedrock)
Regulated industry data governance experience

Job Description

About the Role

Join an AI company building an enterprise data platform for financial services. You will help create and secure the infrastructure that processes sensitive structured and unstructured data while supporting reliable AI workloads.

What You'll Do

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Job Overview
Posted Nov 15, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Devops
Company true-talent-solutions-partners
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