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Senior Platform Engineer

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Own core platform systems for AI-powered products at scale. Build and operate cloud infrastructure, containerized services, and durable workflows. Requires 2-10 years of infrastructure, platform, or backend engineering experience with cloud, Docker, IaC, and databases.

Key Highlights
Own core platform systems for AI-powered products
Build and operate infrastructure for AI agents and ML workloads
Design and maintain containerized services and cloud infrastructure
Improve reliability, scalability, and performance of production systems
Lead infrastructure work from architecture through ongoing iteration
Key Responsibilities
Build and operate infrastructure for AI agents and machine learning workloads, including durable long-running jobs and model execution.
Design, deploy, and maintain containerized services and cloud infrastructure using infrastructure-as-code tools.
Improve the reliability, scalability, and performance of production systems and databases.
Lead infrastructure work from architecture and data modeling through implementation, launch, and ongoing iteration.
Use AI coding tools in your daily workflow to accelerate implementation and problem solving.
Technical Skills Required
AWS/GCP/Azure Docker CDK/Terraform
Benefits & Perks
Visa sponsorship
Nice to Have
Background building infrastructure for AI agents or machine learning workloads is valuable.

Job Description

About the Role

Join a small team building infrastructure for AI-powered products. You will own core platform systems that help the product run reliably at scale, partnering closely with product and engineering teammates to turn open-ended challenges into production-ready solutions.

What You'll Do

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