About the Role

Join an AI company building an enterprise data platform for financial services. You will help design and secure infrastructure for processing sensitive financial information across cloud environments.

What You'll Do

Design and build scalable infrastructure for AI systems that process structured and unstructured financial data.

Develop security-first architecture for private cloud deployments and support data governance requirements.

Build reliable ingestion pipelines for financial feeds and internal business documents.

Create monitoring and alerting systems for customer-managed cloud deployments.

Implement access controls and audit trails that connect AI interactions to their source material.

Partner with AI research and product teams to optimize infrastructure for model 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 to 10 years of experience in infrastructure, platform, or data infrastructure engineering, with scope appropriate to a senior-level role.

Expertise in at least one major cloud platform: AWS, GCP, or Azure.

Experience with containers and Kubernetes at scale, plus data pipeline or ingestion tooling.

Familiarity with monitoring, logging, and observability tools such as Datadog.

Security-minded engineering experience, ideally involving data governance or regulated industries.

Understanding of compliance requirements such as SOC, SOX, GDPR, or financial services regulations.

Experience with AI platforms such as SageMaker or Bedrock is helpful.

Strong computer science fundamentals and a track record of growing technical scope.

Compensation & Benefits

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

Location

On-site in San Francisco, California.