Infrastructure Engineer

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.

• 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.

On-site in San Francisco, California.

• 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.

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