Infrastructure Engineer

F2 AI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision insurance

401(k) plan with employer match

Unlimited PTO policy

Monthly commuter stipend

Free daily lunch

Fully stocked snack bar

Regular team offsites

Job summary

F2 AI is seeking a knowledgeable Infrastructure Engineer to design and secure infrastructure for our AI data platform in San Francisco. The role requires 6+ years of experience in infrastructure engineering, with expertise in AWS, GCP, or Azure. Key responsibilities include building data ingestion pipelines, implementing security-first architectures, and developing CI/CD practices. We offer a work culture that trusts you with unlimited PTO, comprehensive health benefits, and a supportive team environment.

Qualifications

• 6+ years of experience in infrastructure or platform engineering.
• Strong background in cloud platforms with expertise in containerization and Kubernetes.
• Security-minded approach with experience in data governance, especially in regulated industries.

Responsibilities

• Design and build scalable infrastructure to support AI-powered knowledge engine.
• Implement security-first architecture for private cloud deployments.
• Build robust data ingestion pipelines for structured and unstructured financial data.

Skills

Cloud platforms (AWS, GCP, Azure)

Containerization

Kubernetes

Data governance

ETL experience

Monitoring tools (Datadog)

Compliance knowledge (SOC, SOX, GDPR)

AI platforms (SageMaker, Bedrock)

Job description

Infrastructure Engineer

ENGINEERING | San Francisco, New York City | On-site | Full-time

The Role

We're looking for Infrastructure Engineers who will be instrumental in building and securing the backbone of our enterprise-grade AI data platform. You’ll design systems that handle large volumes of sensitive financial data under strict security and compliance requirements, including real-time correlation of public data with private, tenant-isolated customer data at scale.

What You'll Do

• Design and build scalable infrastructure to support our AI-powered knowledge engine processing structured and unstructured financial data
• Implement security-first architecture for private cloud deployments, ensuring data governance meets financial services requirements
• Build robust data ingestion pipelines that handle everything from CapIQ feeds [structured data] to internal SharePoint documents [unstructured data]
• Develop monitoring and alerting systems for our BYOC platform
• Implement access controls and audit trails to ensure AI interactions are traceable back to primary sources
• Partner with our AI Research and Product teams to optimize infrastructure for LLM inference and training workloads and building agent infrastructure
• Establish CI/CD practices and infrastructure-as-code for rapid, reliable deployments orchestrated across multiple cloud providers

What You Have

• 6+ years of experience in infrastructure or platform engineering
• Strong background in cloud platforms (AWS, GCP, or Azure) with expertise in containerization and kubernetes
• Security-minded approach with experience in data governance, especially in regulated industries
• Experience with data pipeline technologies and real-time processing frameworks; most any ETL experience will do
• Knowledge of modern monitoring, logging, and observability tools; we use Datadog
• Understanding of compliance requirements (SOC, SOX, GDPR, financial services regulations is a plus)
• Startup mentality with the ability to move fast while building robust, scalable systems
• Experience with AI platforms like SageMaker or Bedrock

Perks & Benefits

• Health & Wellness: Comprehensive medical, dental, and vision insurance
• Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
• Time Off: Unlimited PTO policy—we trust you to take the time you need to recharge
• Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
• Team Culture: Regular team offsites to bond and strategize away from the desk