Java Developer with AI

Role: Java Developer with AI
Location: Charlotte NC or Irving TX (Hybrid - Look for local candidates)
Employment type: W2 only
Duration: Long-term contract

PRIMARY SKILLS

• Strong experience in Java (Java 17/21 preferred)
• Hands-on experience with Spring Boot Spring Cloud and REST API development.
• Experience designing and developing Microservices-based architectures.
• Demonstrated experience on at least three of the following key services: Azure AI Foundry Azure Machine Learning Document Intelligence Azure AI Search Vertex AI Document AI LLMs etc.

Strong Plus:

• Experience with AI/Generative AI solutions including: Integration with LLMs (OpenAI Azure OpenAI Claude Copilot etc.) AI-powered application development and automation. Prompt engineering and AI-assisted software development
• Hands-on experience with Kubernetes/OpenShift (OCP)

Job Description

Required Skills:

Strong experience in Java (Java 17/21 preferred) and object-oriented design principles.

Hands-on experience with Spring Boot Spring Cloud and REST API development.

Experience designing and developing Microservices-based architectures.

Strong knowledge of Apache Kafka for event-driven and asynchronous processing.

Experience with MongoDB and NoSQL database design.

Hands-on experience with Kubernetes/OpenShift (OCP) deployments scaling and troubleshooting.

Experience with containerization technologies such as Docker.

Understanding of cloud-native application development and DevOps practices.

Experience with CI/CD pipelines using tools such as Jenkins GitHub Actions or Azure DevOps.

Knowledge of API security authentication and authorization mechanisms (OAuth2 JWT mTLS).

Strong debugging performance tuning and production support skills.

Preferred Skills:

Experience with AI/Generative AI solutions including:

Integration with LLMs (OpenAI Azure OpenAI Claude Copilot etc.)

AI-powered application development and automation

Prompt engineering and AI-assisted software development

Familiarity with vector databases RAG architectures and AI agent frameworks.

Experience with monitoring tools such as Splunk Dynatrace Grafana or Prometheus.

Knowledge of enterprise architecture and security best practices.

Responsibilities

Design develop and maintain scalable microservices using Java and Spring Boot.

Build and support event-driven solutions using Kafka.

Develop and maintain APIs for enterprise applications.

Deploy and manage applications on Kubernetes/OpenShift platforms.

Collaborate with product owners architects and cross-functional teams to deliver solutions.

Participate in code reviews design discussions and technical documentation.

Troubleshoot production issues and drive root cause analysis.

Leverage AI tools and technologies to improve engineering productivity and solution capabilities.

Ensure application reliability security and performance.

Qualifications:

Bachelors degree in Computer Science Engineering or related field.

5 years of software development experience.

3 years of experience building cloud-native microservices.

Strong communication and collaboration skills.

Experience working in Agile/Scrum environments.

Nice to Have:

Financial services domain experience.

Experience with Data APIs and integration platforms.

Exposure to cloud platforms such as OCP GCP.

Required Skills:

javaSpring BootMicroservicesAzureGithub