M

Infrastructure Engineer - AI Data Platform

meeboss United State
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AI Summary

Seeking an Infrastructure Engineer to build and secure enterprise-grade AI data platforms handling sensitive financial data. Responsibilities include designing scalable cloud infrastructure, developing data ingestion pipelines, and supporting AI/ML workloads. Requires 6-10+ years of cloud/infrastructure experience, strong AWS/GCP/Azure, and Kubernetes expertise.

Key Highlights
Build and secure infrastructure for an enterprise-grade AI data platform.
Handle large volumes of sensitive financial data and support AI workloads.
Opportunity to build infrastructure in an early-stage, high-growth environment.
Key Responsibilities
Design scalable cloud infrastructure for AI-powered data platforms.
Build secure private-cloud and BYOC (Bring Your Own Cloud) environments.
Develop data ingestion pipelines for structured and unstructured data.
Support LLM inference, AI agents, and ML workloads.
Build monitoring, alerting, and observability systems.
Implement access controls, audit trails, and data governance.
Build CI/CD and Infrastructure-as-Code across multiple clouds.
Partner with AI Research and Product teams on platform architecture.
Technical Skills Required
Amazon Web Services Google Cloud Platform Microsoft Azure Kubernetes
Benefits & Perks
Visa transfers supported (OPT / H-1B transfers)
Equity
Nice to Have
Datadog or similar observability tooling
Security, data governance, or regulated-industry experience
SageMaker, Bedrock, or other AI infrastructure
Startup or high-growth engineering experience

Job Description


About the job


MeeBoss is sharing this active opportunity on behalf of the hiring company. The role involves building and securing infrastructure for an enterprise-grade AI data platform, handling large volumes of sensitive financial data and supporting AI workloads.


Job title


Infrastructure Engineer


Company


MeeBoss


Location


San Francisco, CA or New York, NY


Compensation


$150K–$300K + Equity


Why this role


  • Visa transfers supported (OPT / H-1B transfers).
  • Opportunity to build infrastructure for an early-stage, high-growth environment.
  • Direct partnership with AI Research and Product teams on platform architecture.


What you will do


  • Design scalable cloud infrastructure for AI-powered data platforms.
  • Build secure private-cloud and BYOC (Bring Your Own Cloud) environments.
  • Develop data ingestion pipelines for structured and unstructured data.
  • Support LLM inference, AI agents, and ML workloads.
  • Build monitoring, alerting, and observability systems.
  • Implement access controls, audit trails, and data governance.
  • Build CI/CD and Infrastructure-as-Code across multiple clouds.
  • Partner with AI Research and Product teams on platform architecture.


What we are looking for


  • 6–10+ years of cloud, infrastructure, platform, or data infrastructure experience.
  • Strong experience with AWS, GCP, or Azure.
  • Production Kubernetes and containerization experience.
  • Strong infrastructure or data-pipeline experience.
  • ETL, data ingestion, or distributed processing experience.
  • Experience with Datadog or similar observability tooling.
  • Security, data governance, or regulated-industry experience.
  • Exposure to SageMaker, Bedrock, or other AI infrastructure.
  • Startup or high-growth engineering experience.
  • Strong ownership and a track record of increasing scope.


Benefits


  • Visa transfer support (OPT / H-1B).


About MeeBoss


MeeBoss helps job seekers and hiring teams make direct, relevant career connections.


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