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Senior Infrastructure/Platform Engineer (AI/ML)

true-talent-solutions-partners • United States
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AI Summary

Build and operate cloud infrastructure for AI/ML products, focusing on scalable, reliable systems. Design durable workflows, optimize databases (Postgres, Redis, ClickHouse), and lead end-to-end platform development. Requires 2-10 years of infrastructure/back-end experience with IaC (CDK/Terraform), Docker, and cloud-scale operations.

Key Highlights
Own end-to-end infrastructure for AI/ML products
2-10 years of infrastructure/platform engineering experience
Production IaC (CDK/Terraform) and Docker expertise

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Key Responsibilities
Design and operate cloud infrastructure for production workloads
Develop durable workflows for AI/ML tasks
Lead platform improvements in data storage, reliability, and infrastructure
Technical Skills Required
Infrastructure as Code (CDK/Terraform) Containerization (Docker) Cloud Infrastructure (AWS/GCP/Azure)

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Benefits & Perks
Visa sponsorship available

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Nice to Have
Experience with Temporal or similar workflow orchestrators
Startup or hybrid large-company/startup background
Daily use of AI coding tools

Job Description

About the Role

Join a small AI and machine learning product team building infrastructure for user-facing products and services. You will own core infrastructure work end to end, helping the team ship reliable systems that support growing products and demanding workloads.

What You'll Do

Build and operate cloud infrastructure and containerized services for production workloads.

Design durable workflows for long-running tasks and infrastructure supporting AI agents or machine learning workloads.

Develop and improve platform capabilities across data storage, service reliability, and product infrastructure.

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Job Overview
Posted Nov 04, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Programming
Company true-talent-solutions-partners
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