Infrastructure Engineer

True Talent Solutions Partners; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Job summary

True Talent Solutions Partners is seeking an experienced infrastructure/platform engineer to design scalable AI data-platform infrastructure for financial services. You will ensure security-focused private cloud deployments, data governance, and robust ingestion pipelines across multiple clouds.

You will collaborate with AI research and product teams to optimize model inference/training workloads and implement CI/CD/IaC practices for reliable multi-cloud deployments.

Qualifications

• 5–10 years in infrastructure or platform engineering, at senior level.
• Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes at scale.
• Knowledge of data pipelines and ingestion systems.
• Security-minded with data governance experience in regulated industries.
• Familiar with observability tools (Datadog) and AI platforms (SageMaker/Bedrock).
• Understanding of SOC, SOX, GDPR or financial services regulations is a plus.
• Strong CS fundamentals in an engineering environment.

Responsibilities

• Design scalable infrastructure for an AI knowledge platform handling financial data.
• Build security-focused architecture for private cloud deployments and governance.
• Develop ingestion pipelines for financial data feeds and documents.
• Create monitoring and alerting systems for customer deployments.
• Implement access controls and audits tracing AI interactions to sources.
• Partner with AI research/product teams to optimize infra for model workloads.
• Establish CI/CD and IaC practices for deployments across cloud providers.

Skills

Cloud platforms

Kubernetes at scale

Data pipelines

Security governance

Observability (Datadog)

AI platforms (SageMaker/Bedrock)

Regulatory compliance

CS fundamentals

Tools

Datadog

SageMaker

Bedrock

Terraform

CI/CD

IaC

Job description

About the Role

Help build and secure the infrastructure behind an enterprise AI data platform for financial services. You will work across cloud infrastructure, data systems, and AI workloads to support secure processing of sensitive information at scale.

What You’ll Do

• Design scalable infrastructure for an AI knowledge platform handling structured and unstructured financial data.

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

• Develop ingestion pipelines for financial data feeds and internal documents.

• Create monitoring and alerting systems for customer-deployed infrastructure.

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

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

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

What We’re Looking For

• Typically 5 to 10 years of infrastructure or platform engineering experience, with scope and progression aligned to a senior-level role.

• Experience with AWS, GCP, or Azure, plus containerization and Kubernetes at scale.

• Knowledge of data pipeline tooling and experience building or supporting complex ingestion systems.

• A security-minded approach and experience with data governance, ideally in regulated industries.

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

• Understanding of compliance requirements such as SOC, SOX, GDPR, or financial services regulations is a plus.

• Strong CS fundamentals and experience in an engineering-focused environment are valued.

Compensation & Benefits

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

Location

On-site in San Francisco, California.