Summary
✨ AI‑Generated
Join an early-stage team building secure, scalable infrastructure for an enterprise AI data platform. You will tackle challenging problems across cloud infrastructure, Kubernetes, data ingestion pipelines, security, and AI/ML workloads while supporting large volumes of sensitive data and isolated customer environments. The role offers strong compensation plus equity and supports eligible work-visa transfers.
Highlights
Build scalable and secure infrastructure for an enterprise AI data platform, work with sensitive financial data and tenant-isolated environments, and support demanding AI and machine-learning workloads. The role offers substantial compensation and equity in an early-stage, high-impact environment.
Description
About the job
MeeBoss is sharing this active opportunity on behalf of Cognistack.
The hiring company is seeking an Infrastructure Engineer to build and secure the infrastructure behind an enterprise-grade AI data platform.
This role involves solving complex infrastructure challenges related to cloud, Kubernetes, data pipelines, security, and AI workloads within a high-impact, early-stage environment.
Job title
Data Infrastructure Engineer
Company
MeeBoss
Location
San Francisco, CA or New York, NY
Compensation
$150K–$300K + Equity
Why this role
Opportunity to build infrastructure handling large volumes of sensitive financial data.Work on real-time connections between public data and private, tenant-isolated customer data.Support LLM inference, AI agents, and ML workloads.Visa transfers supported (OPT / H-1B transfers).
What you will do
Design scalable cloud infrastructure for AI-powered data platforms.Build secure private-cloud and BYOC 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 Transfers Supported (OPT / H-1B transfers).
About MeeBoss
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