Why This Role Stands Out
Shape the future of enterprise applications by architecting innovative solutions with cutting-edge AI/LLM integrations, leveraging your extensive Java and microservices expertise. This hybrid role offers significant impact and growth opportunities for a seasoned architect passionate about leading technical strategy and mentoring teams. Apply now to build scalable, secure, and intelligent applications for a leading company.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
DockerMicroservicesOracleSQLSpringSpring BootAWSAgileAzureGenerative AIGitGoogle CloudGraphQLJavaJenkinsKafkaKubernetesLLMRESTReactRedisTerraform
Job Description
Role: Java Technical Architect
Location - Remote
Duration: 12 months plus
Description:
We are seeking an experienced Java Technical Architect with expertise in Java, Spring Boot, Microservices, React.js, and AI-powered application development. The ideal candidate will design scalable enterprise solutions, define architecture standards, lead development teams, and integrate AI/ML capabilities into modern web applications.
Key Responsibilities:
- Design and implement scalable, secure, and high-performance enterprise applications.
- Lead architecture and development using Java, Spring Boot, Microservices, REST APIs, React.js, and cloud platforms (AWS/Azure/Google Cloud Platform).
- Integrate AI/LLM solutions (such as OpenAI, Azure OpenAI, LangChain, Retrieval-Augmented Generation (RAG), vector databases, and AI APIs) into business applications.
- Define technical standards, perform architecture reviews, and mentor development teams.
- Collaborate with business stakeholders to translate requirements into technical solutions.
- Ensure application security, performance optimization, and CI/CD best practices.
Required Skills:
- 10+ years of Java development experience with at least 3+ years in an Architecture role.
- Strong expertise in Java 17+, Spring Boot, Microservices, React.js, REST APIs, SQL/NoSQL.
- Experience with AI/Generative AI, LLM integration, prompt engineering, RAG, and vector databases.
- Experience with Docker, Kubernetes, CI/CD, Git, Jenkins, and cloud platforms (AWS/Azure/Google Cloud Platform).
- Strong understanding of design patterns, distributed systems, event-driven architecture, and Agile methodologies.
Preferred Qualifications:
- Experience with Kafka, Redis, Elasticsearch, GraphQL, and Terraform.
- Cloud or Java certifications (AWS, Azure, Oracle Java) are a plus.
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