Java Solution Architect — Gen AI & Cloud Modernization

Ethereum Technologies

McLean (VA)

Sur place

USD 85 000 - 121 000

Plein temps

Il y a 15 heures
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Résumé du poste

Ethereum Technologies in McLean, VA is seeking a Java Solution Architect with Gen AI to lead large-scale Java applications. You will define target-state architectures, roadmaps, and reference patterns to modernize legacy systems and enable cloud-native delivery.

The role requires hands-on Java/J2EE experience, Spring Boot, and strong AI/ML capabilities to integrate GenAI/LLMs into enterprise apps, while aligning with security and governance standards.

Qualifications

  • 10+ years of software engineering, application development, and Solution Architecture experience.
  • Strong hands-on development background in Java/J2EE.
  • Strong experience with Spring/Spring Boot, Microservices, REST APIs, and distributed systems.
  • Strong understanding of enterprise integration patterns, software design patterns, architecture principles, and reference architectures.
  • Hands-on architectural experience with modern cloud-native applications.
  • Proven experience modernizing/re-platforming large legacy enterprise applications to the cloud.
  • Strong understanding of platform and application security architecture patterns.
  • Practical experience with AI/ML and Generative AI and demonstrated ability to apply these technologies to solve business problems.
  • Experience or strong understanding of GenAI/LLM integration with enterprise applications.
  • Experience working with both legacy and modern cloud-based distributed systems.

Responsabilités

  • Provide technical and architectural leadership for large-scale enterprise Java applications.
  • Define solution architecture, high-level solution designs, target-state architecture, and technology roadmaps.
  • Design scalable applications using Java/J2EE, Spring Boot, microservices, REST APIs, distributed systems, and cloud-native architecture.
  • Define and maintain reference architectures, enterprise integration patterns, design patterns, and architecture standards.
  • Lead the modernization and re-platforming of legacy enterprise applications to cloud environments.
  • Design architectures across application, integration, technology, security, information, and deployment layers.
  • Develop architectural roadmaps to support new business capabilities and enterprise transformation initiatives.
  • Identify and implement appropriate AI/ML and Generative AI use cases within enterprise applications.
  • Architect integration of GenAI, LLM, and AI/ML capabilities with Java-based enterprise applications.
  • Ensure AI solutions align with enterprise security, risk, governance, and architecture standards.
  • Collaborate with Product Owners, Business Architects, Engineering Leads, Enterprise Architects, and Security/Risk teams.
  • Conduct architecture and design reviews to ensure engineering solutions follow established standards and patterns.
  • Evaluate emerging technologies and solution alternatives based on scalability, performance, security, operational efficiency, and cost.
  • Participate in technical POCs, vendor/product evaluations, and architecture governance reviews.
  • Develop reusable reference implementations and application design patterns.
  • Provide architectural guidance throughout development, testing, deployment, production support, and incident resolution.

Connaissances

Java/J2EE
Spring Boot
Microservices
REST APIs
Distributed systems
AI/ML
GenAI/LLM integration
Cloud-native
Architecture leadership
Security architecture

Formation

Bachelor's degree
Advanced degree preferred

Outils

AWS
Azure
GCP

Description du poste

Ethereum Technologies in McLean, VA is seeking a Java Solution Architect with Gen AI to lead large-scale Java applications. You will define target-state architectures, roadmaps, and reference patterns to modernize legacy systems and enable cloud-native delivery.

The role requires hands-on Java/J2EE experience, Spring Boot, and strong AI/ML capabilities to integrate GenAI/LLMs into enterprise apps, while aligning with security and governance standards.

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