Java Architect (Cloud) - W2 only

Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.

• Java Development (KEY) 15 years of hands-on experience in Java (Java 8/11/17 ), including Core Java, Spring Boot, Spring Framework, and RESTful API design/development.
• Strong understanding of object-oriented design, microservices architecture, and enterprise integration patterns.
• Experience with build/CI-CD tools (Maven/Gradle, Jenkins, Git) and unit testing frameworks (JUnit, Mockito).
• Ability to design, develop, and maintain Java-based services that interface with legacy systems (e.g., via APIs, message queues, or batch integration).
• Demonstrated past experience modernizing legacy applications (mainframe, monolithic, or on-prem systems) into cloud-native architectures using Java.
• Hands-on experience re-platforming/re-architecting legacy Java or COBOL-based systems into containerized microservices (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native patterns (12-factor apps, event-driven architecture, serverless where applicable).
• Familiarity with strangler-fig pattern, API-led integration, or other legacy-to-cloud migration strategies.
• Ability to assess legacy application portfolios and recommend modernization roadmaps (rehost, replatform, refactor, rearchitect).

• Practical experience building or integrating Generative AI solutions (e.g., LLM-based applications, RAG pipelines, prompt engineering, embeddings/vector databases).
• Familiarity with GenAI frameworks/tools such as LangChain, OpenAI/Azure OpenAI APIs, Hugging Face, or similar.
• Experience deploying GenAI capabilities into enterprise applications (chatbots, document summarization, code assistance, data extraction, etc.).
• Understanding of responsible AI practices — data privacy, model governance, and output validation in enterprise contexts.
• Experience leveraging Gen AI to accelerate cloud-native modernization efforts (e.g., AI-assisted code conversion/refactoring, legacy code comprehension, automated test generation, documentation of undocumented legacy logic).
• Familiarity with using GenAI tools to analyze legacy codebases and assist in re-architecting them into cloud-native Java solutions.