About the Role

Join an AI company building an enterprise platform for processing sensitive financial data. You will help design and secure scalable infrastructure that supports data ingestion, AI workloads, and tenant-isolated deployments.

What You'll Do

Design and build scalable infrastructure for an AI platform processing structured and unstructured financial data.

Implement security-focused architecture for private cloud deployments and support data governance requirements.

Build robust pipelines for ingesting structured feeds and unstructured customer documents.

Develop monitoring and alerting for bring-your-own-cloud deployments.

Implement access controls and audit trails that trace AI interactions to primary sources.

Partner with AI research and product teams to optimize infrastructure for LLM inference, training, and agent workloads.

Establish CI/CD practices and infrastructure as code for reliable deployments across cloud providers.

What We're Looking For

Typically, 5 or more years of infrastructure or platform engineering experience, with senior-level scope; relevant startup experience or strong computer science fundamentals may also be suitable.

Expertise with at least one major cloud platform, such as AWS, GCP, or Azure, and experience with containers and Kubernetes at scale.

Experience building cloud infrastructure or complex data ingestion pipelines; familiarity with data pipeline tooling is useful.

Knowledge of security, data governance, and regulated-industry requirements. Experience with SOC, SOX, GDPR, or financial services compliance is a plus.

Familiarity with observability tools such as Datadog and AI platforms such as SageMaker or Bedrock.

A track record of growing scope and delivering reliable systems in a strong engineering environment.

Compensation & Benefits

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

Location

On-site in San Francisco, California.