Senior Technical Architect

Skills

About this role

In this role, you'll apply your platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required-your domain knowledge and hands-on production experience are what matter. As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.

Cloud Infrastructure & SRE Expert

Responsibilities

• Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability.
• Build reproducible, containerized environments with valid reference solutions and intentionally defective variants.
• Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior.

Qualifications

• Senior-level technical architecture, cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE experience, including personal ownership of a production platform.
• Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.
• Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure.