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Java Backend Engineer

InfoVision, Inc.
Irving, TX, United States
10 days ago
Apply on www.dice.com
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Microsoft Azure Databases Hibernate (Java) Java Persistence API Spring Framework PostgreSQL Routing
+16 more
Role-Based Access Control OpenAI Cloud Services Logstash Prometheus Enterprise Software Applications Real Time Systems Spring-mvc Retrieval-Augmented Generation Large Language Models Spring-boot Backend Kotlin LiteLLM Model Context Protocol GPT

Job description

  • Platform Engineering: Design and implement highly scalable backend services using Java 17, Kotlin 1.9.25, and Spring Boot 3.5.11.
  • Reactive & Real-Time Systems: Develop non-blocking, real-time AI chat capabilities using Spring WebFlux, R2DBC, and Server-Sent Events (SSE) within the Shannon Agent Server.
  • Multi-Tenant Architecture: Architect dynamic database routing and auto-migrations across distinct PostgreSQL tenant databases using Flyway.
  • AI & LLM Integration: Build adapter-pattern interfaces to seamlessly route requests across multiple LLM providers, including Azure OpenAI, OpenAI (GPT API v4.9), and LiteLLM.
  • Extensibility & Tooling: Implement Model Context Protocol (MCP) servers and tools, alongside RAG and Vector Store capabilities, to extend the platform’s AI reasoning.
  • Security & Identity: Secure APIs and SDK configurations implementing robust authentication flows, including JWT Bearer Tokens, HMAC request signing, and Role-Based Access Control (RBAC).
  • Data & State Management: Build multi-device sync, chat backup/restore, and secure file handling utilizing AWS S3 and pre-signed URLs within the Shannon Sync Server.

Requirements

  • Extensive experience building enterprise applications with Java 17 and Kotlin.
  • Deep expertise in the Spring ecosystem, specifically Spring Boot 3.5+, Spring MVC, and reactive paradigms using Spring WebFlux.
  • Strong background in data modeling and database interaction using PostgreSQL, JPA, Hibernate Envers, and reactive drivers like R2DBC.
  • Proven track record of designing secure, multi-tenant backend architectures with tenant-level isolation.
  • Experience configuring and deploying cloud services, specifically AWS S3 for object storage and AWS Secrets Manager for runtime credential management.
  • Familiarity with modern observability and telemetry tools, including Prometheus, Micrometer, Logstash

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Apply on www.dice.com
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