Infrastructure Engineer

About the Role

Join the infrastructure team at a fintech company building an enterprise AI data platform. You will help create secure, scalable systems for processing sensitive financial information and connecting public data with private, tenant-isolated customer data.

What You'll Do

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

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

• Build ingestion pipelines for financial data feeds and internal document sources.

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

• Implement access controls and audit trails that trace AI interactions to source materials.

• Partner with AI research and product teams to support 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 infrastructure, platform, cloud, or data infrastructure engineering, with scope and progression aligned to a senior-level role.

• Strong expertise in at least one major cloud platform: AWS, GCP, or Azure.

• Experience with containers and Kubernetes at scale; familiarity with data pipeline tooling is useful.

• Knowledge of observability tools such as Datadog and experience supporting reliable production systems.

• A security-minded approach, ideally with experience in regulated industries and familiarity with SOC, SOX, GDPR, or financial services requirements.

• Experience with AI infrastructure platforms such as SageMaker or Bedrock is valuable.

• Strong computer science fundamentals and experience in a high-performing engineering environment.

Compensation & Benefits

Base salary: $150,000 to $300,000 annually. Visa sponsorship is available. Equity details were not provided.

Location

On-site in San Francisco, California.