Infrastructure Engineer
Data · Posted 5 months ago
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 dat...
- Way of working
- On site
- Location
- San Francisco, CA, New York, NY
- Pay range
- $150,000 to $300,000
- Level
- Junior
- Experience
- 1 to 10 years
- Type
- Full time
- Visa sponsorship
- Not offered for this role
- The company
- Software Development · 20 to 50 people
Skills that matter here
What you would be doing
- 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
The full description
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
- 3-10 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
How hiring runs
- 1Initial Screen
- 2Coding Interview
- 3Final On-site Interview
- 4References
Interested in this one?
There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.
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