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Infrastructure Engineer at rowspace | San Francisco

rowspaceSan Francisco
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

QualificationsA minimum of 6 years of experience in infrastructure or platform engineering. Proficiency in cloud platforms such as AWS, GCP, or Azure, with a strong understanding of containerization and Kubernetes. A security-conscious mindset with experience in data governance, particularly in regulated sectors. Familiarity with data pipeline technologies and real-time processing frameworks; experience with ETL processes is advantageous. Knowledge of contemporary monitoring, logging, and observability tools; we utilize Datadog. An understanding of compliance requirements (SOC, SOX, GDPR, and financial services regulations are a plus). A startup mindset with the ability to work quickly while developing robust, scalable systems. Experience with AI platforms such as SageMaker or Bedrock is preferred.

About the job

The Opportunity

Join rowspace as an Infrastructure Engineer and play a pivotal role in constructing and safeguarding the core of our cutting-edge AI data platform. In this position, you'll engineer systems capable of managing extensive volumes of sensitive financial information while adhering to rigorous security and compliance standards. Your work will involve real-time integration of public data with private, tenant-isolated customer data at scale.

Key Responsibilities

  • Design and implement scalable infrastructure to support our AI-driven knowledge engine that processes both structured and unstructured financial data.

  • Establish a security-first architecture for private cloud environments, ensuring data governance aligns with financial services regulations.

  • Create resilient data ingestion pipelines that accommodate a variety of data sources, from CapIQ feeds (structured data) to internal SharePoint documents (unstructured data).

  • Develop comprehensive monitoring and alerting systems for our BYOC platform.

  • Enforce access controls and maintain audit trails to ensure that AI interactions can be traced back to primary sources.

  • Collaborate with our AI Research and Product teams to enhance infrastructure for LLM inference and training workloads, as well as agent infrastructure development.

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

About rowspace

At rowspace, we are at the forefront of developing innovative solutions in the AI data landscape. Our commitment to excellence and security ensures that our platforms are not only powerful but also compliant with the highest industry standards. We foster a dynamic work environment that encourages creativity and collaboration.

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