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
  • Strong cloud platform expertise (AWS, GCP, or Azure) with containerization knowledge
  • Security-focused, with data governance experience in regulated sectors
  • Familiarity with data pipeline technologies and real-time processing frameworks
  • Knowledge of monitoring and observability tools, specifically Datadog
  • Understanding of compliance requirements relevant to financial services
  • Startup mentality, thriving in fast-paced environments
  • Experience with AI platforms such as SageMaker or Bedrock

Responsibilities

  • Design and build scalable infrastructure for AI-driven knowledge engine
  • Implement security architecture for private cloud to meet financial data governance
  • Build data ingestion pipelines for diverse data types
  • Develop monitoring and alerting systems for BYOC platform
  • Implement access controls and maintain audit trails for AI systems
  • Collaborate with AI Research and Product teams on infrastructure optimization
  • Establish CI/CD practices and infrastructure-as-code across multiple clouds

Benefits

  • Comprehensive medical, dental, and vision insurance
  • 401(k) plan with employer match
  • Unlimited PTO policy for work-life balance
  • Monthly commuter stipend and free daily lunch
  • Team offsites to enhance team bonding and strategy
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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