Infrastructure Engineer

Rowspace; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision insurance

401(k) plan with employer match

Monthly commuter stipend

Free daily lunch and snack bar

Regular team offsites

Job summary

Rowspace is seeking an Infrastructure Engineer to design and secure the backbone of our enterprise-grade AI data platform in New York. You will design systems that ensure strict security and compliance for large volumes of sensitive financial data.

The ideal candidate has over 6 years of experience in infrastructure engineering, strong cloud platform knowledge, and a security-minded approach, along with a startup mentality to build robust, scalable systems.

Qualifications

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

Responsibilities

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

Skills

Infrastructure engineering experience

Expertise in cloud platforms (AWS, GCP, Azure)

Containerization and Kubernetes

Data governance experience

ETL and data pipeline technologies

Monitoring tools (e.g., Datadog)

Compliance knowledge (SOC, SOX, GDPR)

AI platforms (SageMaker, Bedrock)

Job 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

• 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

• 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