# Infrastructure Engineer

**Company:** [Maxana](http://jobs.workable.com/companies/hEpqMVJj79d2sVUdWCKRRe.md)
**Location:** New York, United States
**Workplace:** hybrid
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/aefc0734-33ee-4afa-b39d-c6058a0224ed)

## Description

Maxana is seeking an experienced Infrastructure Engineer for a confidential client — a fast-growing AI company. In this role you will build and maintain the platform layer supporting large-scale ML training, inference, and deployment. This is a high-impact role at the intersection of cloud infrastructure and ML systems.

**Key Responsibilities**

-   Build and maintain infrastructure supporting large-scale ML training and inference workloads
-   Work with GPU and compute infrastructure, distributed systems, and cloud-native platforms
-   Improve reliability, observability, and performance across the platform layer
-   Collaborate directly with senior engineers and product teams on architecture decisions
-   Own production reliability — monitoring, incident response, and proactive risk reduction
-   Develop and maintain internal tooling and automation to support engineering operations

## Requirements

-   5+ years of infrastructure or platform engineering experience in a production environment
-   Strong distributed systems background — experience with large-scale compute workloads preferred
-   Cloud-native infrastructure experience — AWS, GCP, or Azure; Docker and Kubernetes required
-   Familiarity with ML infrastructure a strong plus — training pipelines, inference serving, GPU workloads
-   Experience owning production reliability end to end

## Benefits

-   Competitive base salary ($130,000-$240,000) + equity
-   Medical, dental, and vision
-   Flexible paid time off
-   Learning and development stipend
-   Working at the forefront of AI infrastructure at scale