Job Title: Java Developer (Java, AI & GCP) Location: Dallas, TX / Remote W2 Contract Role Overview We are seeking a highly skilled Java Developer with hands-on experience in Artificial Intelligence (AI) technologies and Google Cloud Platform (GCP). The ideal candidate will design, develop, and deploy scalable cloud-native applications, integrate AI/ML capabilities into enterprise systems, and contribute to modern microservices-based architectures. You will work closely with cross-functional teams including product managers, data scientists, cloud engineers, and DevOps teams to build intelligent, high-performance applications.

Key Responsibilities

• Design, develop, test, and maintain enterprise-grade Java applications.
• Build scalable RESTful APIs and microservices using Java and Spring Boot.
• Develop and deploy cloud-native applications on Google Cloud Platform (GCP).
• Integrate AI/ML models and intelligent services into backend applications.
• Collaborate with AI/ML teams to operationalize machine learning solutions.
• Implement secure, scalable, and high-availability architectures.
• Optimize application performance, reliability, and scalability.
• Participate in code reviews, technical discussions, and architecture planning.
• Work with CI/CD pipelines and DevOps practices for automated deployments.
• Troubleshoot production issues and ensure system stability.

Required Skills & Qualifications Core Java Skills

• Strong experience in Java 8/11/17+
• Expertise in Spring Boot, Spring MVC, and Spring Security
• Experience with Hibernate/JPA
• Strong understanding of OOP concepts and design patterns
• Knowledge of REST APIs and microservices architecture

Cloud & DevOps

• Hands-on experience with Google Cloud Platform (GCP)
• Experience with:
• Google Kubernetes Engine (GKE)
• Cloud Run
• Pub/Sub
• Cloud Functions
• BigQuery
• Cloud Storage
• Familiarity with Docker and Kubernetes
• Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI

AI / Machine Learning

• Experience integrating AI/ML services into applications
• Exposure to Generative AI, LLMs, or AI APIs
• Familiarity with Vertex AI or similar AI platforms
• Understanding of AI model deployment and inference workflows
• Knowledge of prompt engineering or AI-assisted automation is a plus

Database & Messaging

• Experience with SQL and NoSQL databases
• Knowledge of PostgreSQL, MySQL, MongoDB, or BigQuery
• Familiarity with Kafka or Pub/Sub messaging systems

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