Senior Infrastructure Engineer

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.

• 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.

On-site in San Francisco, California.

• 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.

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