Quick overview
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
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.