Java Infrastructure Engineer for AI-Scale Systems (Remote)

Invisible Technologies Inc.

United States

Remote

USD 110,000 - 207,000

Full time

14 days+
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Job summary

Invisible Technologies is seeking a Java-focused SWE Infrastructure Specialist to help shape AI understanding of large-scale software systems. You will work remotely on enterprise Java infrastructure, challenging AI models on concurrency, latency, and resource utilization.

The role emphasizes documentation of model reasoning about correctness and reliability, with pay as a contractor. Strong emphasis on architectural decisions and testing strategies in cloud-native environments.

Qualifications

  • Bachelor's, master's, or PhD in computer science or a related field preferred.
  • Hands-on experience with enterprise Java systems and cloud infrastructure.
  • Strong written communication and ability to explain system behavior clearly.

Responsibilities

  • Engage the model on Java-centric infrastructure and platform engineering tasks.
  • Verify architectural decisions related to concurrency, latency, throughput, and resources.
  • Assess infrastructure and application-level testing strategies.
  • Analyze deployment and reliability risks; capture reproducible failure modes.
  • Provide structured feedback to improve model evaluation and reasoning frameworks.

Skills

Java
Systems thinking
Architectural design
Performance engineering
Quality assurance
Distributed systems
Cloud-native deployments
SRE/DevOps-adjacent roles

Education

Bachelor's degree in computer science/software engineering
Master's degree in a relevant field
PhD in a technical discipline (preferred)

Job description

Invisible Technologies is seeking a Java-focused SWE Infrastructure Specialist to help shape AI understanding of large-scale software systems. You will work remotely on enterprise Java infrastructure, challenging AI models on concurrency, latency, and resource utilization.

The role emphasizes documentation of model reasoning about correctness and reliability, with pay as a contractor. Strong emphasis on architectural decisions and testing strategies in cloud-native environments.

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