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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Design scalable infrastructure for an AI platform processing structured and unstructured financial data.
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Build secure architecture for private cloud deployments and support data governance requirements in financial services.
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Develop data ingestion pipelines for external feeds and internal documents.
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Create monitoring and alerting systems for customer-deployed infrastructure.
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Implement access controls and audit trails that trace AI interactions to their source data.
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Partner with AI research and product teams to optimize infrastructure for LLM inference, training, and agent workloads.
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Establish CI/CD and infrastructure-as-code practices for reliable deployments across cloud providers.
What We're Looking For
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Typically 5 to 10 years of experience in cloud, infrastructure, or platform engineering, with scope appropriate for a senior-level role.
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Strong experience with at least one major cloud platform: AWS, GCP, or Azure, plus containerization and Kubernetes at scale.
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Experience building data pipelines or ingestion systems is useful.
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Security-minded approach and familiarity with data governance, regulated industries, or compliance requirements such as SOC, SOX, or GDPR.
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Knowledge of monitoring, logging, and observability tools, such as Datadog.
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Experience with AI platforms such as SageMaker or Bedrock is valuable.
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Strong infrastructure engineering fundamentals, a record of growing responsibility, and comfort working in an early-stage environment.
Compensation & Benefits
Base salary: $150,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.
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