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Senior Infrastructure/Platform Engineer (AI Data Platform)

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Build and secure cloud infrastructure for an AI data platform in financial services. Design scalable systems, enforce security/compliance, and optimize AI workloads. Requires 5-10 years of senior-level experience in infrastructure/platform engineering with cloud (AWS/GCP/Azure), Kubernetes, and data pipelines.

Key Highlights
5-10 years senior infrastructure/platform engineering experience
Cloud expertise (AWS/GCP/Azure) + Kubernetes at scale
Security/data governance focus in regulated financial services
Key Responsibilities
Design scalable infrastructure for AI knowledge platforms handling financial data
Build security-focused architecture for private cloud deployments and data governance
Develop ingestion pipelines for financial data feeds and internal documents
Create monitoring/alerting systems for customer infrastructure
Implement access controls/audit trails for AI interactions
Optimize infrastructure for AI model inference/training/agent workloads
Establish CI/CD and IaC practices for multi-cloud deployments
Technical Skills Required
Cloud Infrastructure (AWS/GCP/Azure) Kubernetes Data Pipeline Engineering
Benefits & Perks
Base salary: $150,000–$300,000 annually
Visa sponsorship available
Nice to Have
Experience with observability tools (e.g., Datadog)
Familiarity with AI platforms (e.g., SageMaker/Bedrock)
Compliance knowledge (SOC, SOX, GDPR, financial regulations)

Job Description

About the Role

Help build and secure the infrastructure behind an enterprise AI data platform for financial services. You will work across cloud infrastructure, data systems, and AI workloads to support secure processing of sensitive information at scale.

What You'll Do

Design scalable infrastructure for an AI knowledge platform handling structured and unstructured financial data.

Build security-focused architecture for private cloud deployments and support data governance requirements.

Develop ingestion pipelines for financial data feeds and internal documents.

Create monitoring and alerting systems for customer-deployed infrastructure.

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