SWE Infrastructure Specialist (Java)

Agency; United States; À distance; USD 120 000 - 180 000; Plein temps

Résumé du poste

Agency seeks a Platform Engineer to support AI model infrastructure within a Java-centric environment. You will tackle platform engineering tasks and help models reason about scalability, reliability, and performance outcomes.

The role requires strong expertise in JVM services, distributed systems, and cloud-native deployments, with clear written communication essential for explaining complex system behaviors and design decisions.

Qualifications

• Deep knowledge of systems thinking, architectural design, and performance engineering.
• Expertise in JVM-based services and distributed systems.
• Experience with cloud-native deployments and enterprise-grade architectures.
• Strong written communication skills to explain system behavior and design decisions.

Responsabilités

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

Connaissances

JVM-based services

Distributed systems

Cloud native deployments

Performance engineering

Formation

Bachelor’s/Master’s/PhD in Computer Science or related discipline

Hands-on enterprise Java experience

Experience in platform engineering / SRE / DevOps-adjacent roles

Description du poste

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 to improve model reasoning

Requirements

• Deep knowledge of systems thinking, architectural design, and performance engineering
• Expertise in JVM-based services and distributed systems
• Experience with cloud-native deployments and enterprise-grade architectures
• Strong written communication skills to explain system behavior and design decisions

Preferred Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science or a related technical discipline
• Hands-on experience with enterprise Java systems
• Experience in platform engineering, SRE, or DevOps-adjacent roles

About the Company

This project focuses on training advanced AI models to reason about complex enterprise software systems, performance, and cloud architecture through expert human guidance.