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Senior Infrastructure & Platform Engineer

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Build and operate secure, scalable infrastructure for an AI platform processing financial data. Design cloud infrastructure, data pipelines, monitoring, access controls, and CI/CD for regulated deployments. Requires 5-10 years of cloud, infrastructure, or platform engineering experience with major cloud platforms and Kubernetes.

Key Highlights
Senior infrastructure role for an AI platform in financial services
Cloud, Kubernetes, data pipelines, monitoring, and CI/CD responsibilities
5-10 years of relevant experience expected
On-site in San Francisco, California
Visa sponsorship available
Key Responsibilities
Design scalable infrastructure for an AI platform processing structured and unstructured financial data
Build secure architecture for private cloud deployments and support data governance requirements
Develop data ingestion pipelines for external feeds and internal documents
Create monitoring and alerting systems for customer-deployed infrastructure
Implement access controls and audit trails that trace AI interactions to source data
Partner with AI research and product teams to optimize infrastructure for LLM inference, training, and agent workloads
Establish CI/CD and infrastructure-as-code practices for reliable deployments across cloud providers
Technical Skills Required
Cloud Platforms Kubernetes CI/CD
Benefits & Perks
Visa sponsorship
Nice to Have
Experience building data pipelines or ingestion systems
Familiarity with data governance, regulated industries, or compliance requirements such as SOC, SOX, or GDPR
Knowledge of monitoring, logging, and observability tools such as Datadog
Experience with AI platforms such as SageMaker or Bedrock

Job Description

About the Role

Join an AI company building a secure data platform for financial services. You will build and operate infrastructure that supports large-scale data processing, AI workloads, and strict security and governance requirements.

What You'll Do

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