Senior Java Backend Engineer for AI-Driven Microservices

PURVIEW

Austin (TX)

Presencial

USD 140.000 - 190.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

PURVIEW is seeking a senior Java Backend Developer with AI/DLC exposure to design, implement, and scale backend services. The role emphasizes Java, Spring Boot, REST APIs, and microservices within distributed systems across cloud environments.

The candidate should be a strong Java/Spring Boot engineer with hands-on AI-enabled development experience, including Generative AI tools and Enterprise AI assistants. AWS familiarity and containerized deployments are a plus.

Formación

  • 10+ years of backend development experience with Java and Spring Boot.
  • Strong background in REST APIs, microservices, and distributed systems.
  • Hands-on experience with Kafka, databases, and cloud platforms.
  • Exposure to AI-assisted development and GenAI tools is a plus.

Responsabilidades

  • Design, develop, and maintain scalable backend applications using Java and Spring Boot.
  • Build and maintain RESTful APIs and microservices for enterprise use cases.
  • Develop highly available and fault-tolerant backend services.
  • Apply OO programming, design patterns, and clean coding practices.
  • Contribute to application modernization, migrations, and code quality.
  • Collaborate on backend architecture discussions and peer reviews.

Conocimientos

Java
Spring Boot
REST APIs
Microservices
Kafka
Distributed systems
Databases
Cloud technologies
AI tools
GenAI

Herramientas

Cursor
ChatGPT
Gemini
Enterprise AI coding assistants

Descripción del empleo

PURVIEW is seeking a senior Java Backend Developer with AI/DLC exposure to design, implement, and scale backend services. The role emphasizes Java, Spring Boot, REST APIs, and microservices within distributed systems across cloud environments.

The candidate should be a strong Java/Spring Boot engineer with hands-on AI-enabled development experience, including Generative AI tools and Enterprise AI assistants. AWS familiarity and containerized deployments are a plus.

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