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SWE Infrastructure Specialist (Java)

Jobgether

full-remoteseniorfreelancebackendother United States 7 days ago via LinkedIn

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Tags

JavaJVMSoftware ArchitectureDistributed SystemsCloud-NativeConcurrencyPerformance OptimizationDevOpsSite Reliability Engineering (SRE)AI Evaluation

About the role

Role Overview

SWE Infrastructure Specialist (Java) — Freelance AI Trainer Project. You will help evaluate and improve AI model performance on real-world, Java-based enterprise infrastructure and systems engineering scenarios.

Responsibilities

  • Engage advanced AI models with Java-focused infrastructure and platform engineering questions.
  • Evaluate AI-generated solutions for architectural correctness, scalability, reliability, and operational effectiveness.
  • Analyze Java design decisions related to concurrency, latency, throughput, and resource management.
  • Review approaches for distributed systems, cloud-native deployments, and enterprise architectures.
  • Assess testing strategies, deployment workflows, and reliability practices for Java systems.
  • Identify and document model weaknesses, incorrect assumptions, and reproducible failure cases.
  • Provide structured feedback to strengthen AI evaluation frameworks and reasoning.
  • Analyze performance bottlenecks, operational risks, and system-level tradeoffs.
  • Define quality standards and benchmarks for AI-generated technical solutions.
  • Communicate findings via detailed technical documentation.

Requirements

  • Strong Java development experience plus infrastructure/systems/cloud expertise.
  • Ability to analyze complex technical problems and clearly explain architectural decisions and tradeoffs.
  • Experience building enterprise-grade backend systems; hands-on software architecture or distributed systems experience.
  • Solid understanding of JVM concepts, application performance, concurrency, and resource optimization.
  • Experience with cloud infrastructure, platform engineering, DevOps, or SRE practices.
  • Familiarity with cloud-native deployments, containerization, and modern delivery workflows.
  • Strong analytical/problem-solving skills and excellent written communication.
  • Degree in CS/Software Engineering (Bachelor’s/Master’s/PhD) preferred.
  • Experience evaluating AI-generated technical outputs is a plus.

Compensation & Work Style

  • Fully remote freelance contract.
  • Rate: $80–$150 per hour (based on experience, expertise, and geographic location).

Scraped 7/31/2026