Remote Opportunity | Senior Java Architect | Independent Visa Required

Role: Senior Java Architect Location: Menlo Park, CA (Remote) Duration: 12 Months contract Visa: Independent Visa only Job 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 with hands-on experience integrating Generative AI and intelligent application capabilities into enterprise platforms. ▪ 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 OpenTelemetry experience 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? All your information will be kept confidential according to EEO guidelines.