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Infrastructure Engineer

rowspaceNew York City
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Your QualificationsOver 6 years of experience in infrastructure or platform engineering. Extensive expertise in cloud platforms (AWS, GCP, or Azure) with a strong focus on containerization and Kubernetes. A security-first mindset, with experience in data governance particularly in regulated sectors. Familiarity with data pipeline technologies and real-time processing frameworks; any ETL experience is advantageous. Proficiency in modern monitoring, logging, and observability tools; familiarity with Datadog is a plus. Comprehensive understanding of compliance requirements (SOC, SOX, GDPR, and financial services regulations is a plus). A startup mentality with a proven ability to innovate quickly while building robust, scalable systems. Experience with AI platforms such as SageMaker or Bedrock is desirable.

About the job

rowspace is hiring an Infrastructure Engineer in New York City to help build and protect the backbone of our AI data platform. This role focuses on designing systems that handle large volumes of sensitive financial data, with a strong emphasis on security and compliance. The work involves integrating public and private, tenant-specific customer data in real time and at scale.

What You Will Do

  • Design and build scalable infrastructure for an AI-driven knowledge engine that processes both structured and unstructured financial data.
  • Develop and implement secure architectures for private cloud environments, meeting financial services compliance requirements.
  • Build robust data ingestion pipelines for sources ranging from CapIQ feeds (structured) to internal SharePoint documents (unstructured).
  • Create monitoring and alerting tools for our Bring Your Own Cloud (BYOC) platform.
  • Set up access controls and audit trails to ensure traceability of AI interactions back to original data sources.
  • Work with AI Research and Product teams to fine-tune infrastructure for large language model (LLM) inference, training, and agent development.
  • Implement CI/CD workflows and infrastructure-as-code to support fast, reliable deployments across multiple cloud providers.

About rowspace

At Rowspace, we are at the forefront of AI data platform innovation, dedicated to enhancing financial services through cutting-edge technology and unparalleled security. Join us in shaping the future of data-driven insights.

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