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
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Build and maintain infrastructure supporting large-scale ML training and inference workloads
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Work with GPU and compute infrastructure, distributed systems, and cloud-native platforms
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Improve reliability, observability, and performance across the platform layer
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Collaborate directly with senior engineers and product teams on architecture decisions
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Own production reliability — monitoring, incident response, and proactive risk reduction
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Develop and maintain internal tooling and automation to support engineering operations
Requirements
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5+ years of infrastructure or platform engineering experience in a production environment
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Strong distributed systems background — experience with large-scale compute workloads preferred
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Cloud-native infrastructure experience — AWS, GCP, or Azure; Docker and Kubernetes required
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Familiarity with ML infrastructure a strong plus — training pipelines, inference serving, GPU workloads
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Experience owning production reliability end to end
Benefits
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Competitive base salary ($130,000-$240,000) + equity
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Medical, dental, and vision
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Flexible paid time off
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Learning and development stipend
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Working at the forefront of AI infrastructure at scale
