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About the Role
In this role, you'll apply your cloud infrastructure and 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.
What You'll Do
Complete assigned tasks according to the project brief.
Collaborate with the micro1 team.
Deliver consistent, high-quality work on schedule.
You're a Good Fit If You
Required skills: Cloud Benchmark Task Authoring, Cloud and Distributed Systems Architecture, Production Infrastructure Ownership
Senior-level 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.
Practical experience with IAM, private networking, least-privilege access, and service-to-service security.
Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery.
Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language.