Role: Senior Java ArchitectLocation: Menlo Park, CA (Remote)Duration: 12 Months contractVisa: Independent Visa onlyJob Description:The ideal candidate will have deep expertise across Java, Spring Boot, event-driven microservices,cloud platforms, Kubernetes, modern frontend technologies, and enterprise architecture, along withhands-on experience integrating Generative AI and intelligent application capabilities into enterpriseplatforms.▪ 12+ years of overall software development experience with strong enterprise Java background.▪ Java 17/21+, Spring Boot, Spring Cloud, Spring Security – strong hands-on experience required.▪ Enterprise Microservices + Distributed Systems + REST API architecture.▪ Apache Kafka / Kafka Streams with event-driven architecture experience.▪ Debezium CDC and real-time data/event processing experience.▪ Kubernetes + Docker + Helm with production enterprise deployments.▪ KEDA for event-driven Kubernetes autoscaling.▪ Istio or Linkerd service mesh experience.▪ Argo CD / GitOps for Kubernetes CI/CD deployments.▪ React.js + TypeScript/JavaScript for modern full-stack development.▪ Generative AI integration into enterprise Java applications is required.▪ LangChain4j / Spring AI + RAG + AI Agents experience strongly required.▪ MCP integration with enterprise Java applications is a key differentiator.▪ Strong AWS/Azure, OAuth2/OIDC, JWT, PostgreSQL/Oracle, Redis and OpenTelemetryexperience preferred.Pre-Screening Questions     Q1: Does the candidate have expertise building event-driven microservices using Java 17/21+, Spring Boot, and Spring Security?    Q2: Has the candidate implemented real-time data processing pipelines and event-driven architectures using Apache Kafka / Kafka Streams along with Debezium CDC?    Q3: Has the candidate integrated Generative AI, RAG architecture, or AI Agents into enterprise Java applications using tools like LangChain4j, Spring AI, or Model Context Protocol (MCP)?    Q4: Does the candidate have hands-on experience deploying enterprise workloads to Kubernetes using Helm, GitOps (Argo CD), service meshes (Istio/Linkerd), and KEDA for autoscaling?
