Tech Stack

Description

You will challenge advanced AI models on complex infrastructure scenarios involving JVM-based services, distributed systems, and cloud-native deployments. Your role is to verify architectural decisions, assess testing strategies, analyze deployment risks, and provide structured feedback to improve model reasoning. This is an opportunity to turn your engineering expertise into training data for tomorrow's AI.

Requirements

• Bachelor's, master's, or PhD in computer science, software engineering, or related field preferred
• Hands-on experience with enterprise Java systems, cloud infrastructure, platform engineering, or SRE/DevOps
• Strong written communication and ability to explain system behavior and design decisions

Responsibilities

• Engage AI models on Java-centric infrastructure and platform engineering tasks
• Verify architectural decisions related to concurrency, latency, throughput, and resource utilization
• Assess infrastructure and application-level testing strategies
• Analyze deployment and reliability risks
• Capture reproducible failure modes and provide structured feedback