Senior Infrastructure Engineer

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 - 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. WHAT WE'RE LOOKING FOR - 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. COMPENSATION & BENEFITS Base salary: $150,000 to $300,000 annually. Visa sponsorship is available. LOCATION On-site in San Francisco, California.