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.