Senior Infrastructure Engineer

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.

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 in financial services.
• 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 their 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.

Requirements

• Typically 5 to 10 years of experience in cloud, infrastructure, or platform engineering, with scope appropriate for a senior-level role.
• Strong experience with at least one major cloud platform: AWS, GCP, or Azure, plus containerization and Kubernetes at scale.
• Experience building data pipelines or ingestion systems is useful.
• Security-minded approach and 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 is valuable.
• Strong infrastructure engineering fundamentals, a record of growing responsibility, and comfort working in an early-stage environment.

Conditions

Base salary: $150,000 to $300,000 annually. Visa sponsorship is available.

On-site in San Francisco, California.