Senior AI Infra Engineer: Cloud, Security & Data Governance

True

San Francisco (CA)

On-site

USD 150,000 - 300,000

Full time

3 days ago

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Job summary

Company Name in San Francisco is seeking a senior infrastructure engineer to design scalable AI data platform infrastructure and secure handling of financial data. You will work across cloud infrastructure, data systems, and AI workloads to enable compliant, private-cloud deployments.

Responsibilities include building ingestion pipelines, monitoring, access controls, and audit trails, while partnering with AI research and product teams to optimize for model inference, training, and agent

Qualifications

5–10 years of infra or platform engineering experience.
Experience with AWS, GCP or Azure and Kubernetes at scale.
Knowledge of data pipeline tooling and complex ingestion systems.
A security-minded approach with data governance in regulated contexts.
Familiarity with observability tools (Datadog) and AI platforms (SageMaker/Bedrock).
Understanding of SOC, SOX, GDPR or financial services regulations.

Responsibilities

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.
Implement access controls and audit trails tracing AI interactions to sources.
Partner with AI research and product teams to optimize infra for model inference, training, and agent workloads.
Establish CI/CD and infrastructure-as-code practices across multiple cloud providers.