SWE Infrastructure Specialist (Java)
The position is listed on behalf of a partner company managing all applications and next steps. They are seeking a SWE Infrastructure Specialist (Java) for a remote contract opportunity based in the United States. This role combines software engineering, systems analysis, and AI evaluation in a highly technical and research-driven setting.
About the Role
As a SWE Infrastructure Specialist (Java), you will contribute to improving how AI models understand enterprise software architectures, distributed systems, and cloud-based environments. You will challenge advanced language models with real-world infrastructure scenarios and assess their ability to reason about complex engineering problems. Your expertise will help improve AI capabilities around scalability, reliability, performance optimization, and production-grade software design.
Responsibilities
- Evaluate and improve AI model performance in the context of Java-based software systems, infrastructure design, and enterprise engineering challenges.
- Provide expert feedback, analyze technical reasoning, and help develop stronger AI understanding of complex software environments.
- Engage with advanced AI models on Java-focused infrastructure and platform engineering scenarios.
- Analyze Java application design decisions related to concurrency, latency, throughput, and resource management.
- Review infrastructure approaches involving distributed systems, cloud-native deployments, and enterprise architectures.
- Evaluate testing strategies, deployment workflows, and reliability practices for Java-based systems.
- Identify and document model weaknesses, incorrect assumptions, and reproducible failure cases.
- Provide structured feedback to improve AI evaluation frameworks and reasoning capabilities.
- Analyze performance bottlenecks, operational risks, and system-level tradeoffs.
- Help define quality standards and benchmarks for AI-generated technical solutions.
- Communicate technical findings clearly through detailed documentation and engineering explanations.
Requirements
- Strong Java development experience combined with infrastructure, systems engineering, or cloud expertise.
- Comfortable analyzing complex technical problems and clearly explaining architectural decisions and tradeoffs.
- Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or a related technical discipline preferred.
- Hands-on experience with software architecture, distributed systems, or backend engineering.
- Understanding of JVM concepts, application performance, concurrency, and resource optimization.
- Experience with cloud infrastructure, platform engineering, DevOps, or Site Reliability Engineering practices.
- Familiarity with cloud-native deployments, containerization, and modern software delivery workflows.
- Ability to evaluate system reliability, scalability, and operational risks.
- Strong analytical and problem-solving skills with attention to technical detail.
- Excellent written communication skills and ability to explain complex engineering concepts clearly.
- Experience working with AI-assisted development or evaluating AI-generated technical outputs is a plus.
Benefits
Competitive contractor compensation ranging from $80 to $150 per hour, depending on experience, expertise, and geographic location. Fully remote work opportunity with flexible location options. Opportunity to contribute to the development and improvement of advanced AI systems. Work on challenging technical scenarios involving enterprise software, cloud infrastructure, and distributed systems. Gain exposure to cutting-edge AI evaluation methodologies and model improvement processes. Flexible contract-based engagement designed for experienced engineering professionals.
Pay
Competitive contractor compensation ranging from $80 to $150 per hour, depending on experience, expertise, and geographic location.
Schedule
Remote work opportunity with flexible location options.