Infrastructure Engineer

Rowspace

$120K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in infrastructure or platform engineering
  • Proven expertise in cloud platforms like AWS, GCP, or Azure, with a focus on containerization and Kubernetes
  • Security-focused background, particularly in data governance for regulated sectors
  • Familiarity with data pipeline technologies and real-time processing frameworks
  • Knowledge of monitoring, logging, and observability tools, specifically Datadog
  • Understanding of compliance, including SOC, SOX, GDPR, and financial regulations is advantageous
  • Adaptability to a fast-paced startup environment
  • Experience with AI platforms such as SageMaker or Bedrock

Responsibilities

  • Design and build scalable infrastructure for AI-driven financial data processing
  • Implement security-first architecture for private cloud environments
  • Create efficient data ingestion pipelines for diverse data types
  • Develop monitoring and alerting systems for data platforms
  • Establish access controls and audit trails for traceability
  • Collaborate with AI Research and Product teams to enhance infrastructure for LLM workloads
  • Adopt CI/CD practices and infrastructure-as-code for scalable deployments

Benefits

  • Comprehensive medical, dental, and vision insurance
  • 401(k) plan with employer matching contributions
  • Unlimited PTO policy for work-life balance
  • Monthly commuter stipend and complimentary daily lunch
  • Regular team offsites for team building and strategic planning
Full 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
  • 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

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