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Publicis GroupePosted 3 weeks ago
EXPIRED

Senior Java Engineer - AI & Agentic Platforms

$135,000–$165,000 year

On-siteChicago, Illinois, United States or Irving, Texas, United States

Full TimeSenior LevelEnterprise

Job Summary

Design, develop, and maintain enterprise-grade Java microservices and backend applications that power AI-driven and agentic solutions. Build and integrate AI-enabled applications using modern frameworks, develop scalable RESTful APIs and event-driven services, and contribute to cloud-native application development and deployment on GCP, AWS, or Azure. Collaborate with architects and product teams to deliver high-quality solutions while participating in code reviews, testing, troubleshooting, and performance optimization. Support CI/CD pipelines and application observability initiatives using tools like Prometheus and Grafana. Requires 6+ years of software engineering experience with Java 17+, Spring Boot, and distributed systems.

Required Qualifications

  • Strong hands-on experience with Java 17+ and Spring Boot
  • REST APIs and microservices development
  • Distributed systems and backend engineering
  • Relational and NoSQL databases
  • Docker and Kubernetes
  • Cloud platforms (GCP, AWS, or Azure)
  • AI application integrations and enterprise automation solutions
  • Python or TypeScript for scripting and integrations
  • Messaging and event-driven architectures
  • 6+ years of software engineering experience
  • 4+ years building and supporting microservices-based applications
  • Java (17+), Spring Boot, Spring Cloud
  • REST APIs
  • gRPC (preferred)
  • GraphQL (preferred)
  • Redis or similar caching technologies
  • SQL and NoSQL databases
  • CI/CD pipelines and DevOps practices
  • Monitoring and observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry

Desired Qualifications

  • Reactive Java (nice to have)
  • Exposure to AI and Agentic platforms
  • Experience working with MCPs (Model Context Protocols) or Agent Development Kit (ADK)
  • Familiarity with AI copilots, conversational AI, or enterprise search solutions
  • Experience developing applications on Google Cloud Platform (GCP)
  • Understanding of scalable and resilient cloud-native application development

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