Senior Java Full Stack Developer (Microservices & AI Integration) (contract)

Location: Charlotte, NC • Duration: 18 months • Work Engagement: W2 • Work Schedule: Hybrid (3 days in office, 2 days remote)

About the role

In this contingent resource assignment, you will consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning. You will review and analyze moderately complex challenges, contribute to issue resolution, and collaborate with client personnel while leveraging a solid understanding of policies, procedures, and compliance requirements.

Responsibilities

• Design and develop microservices-based architectures using Java (Java 17/21 preferred) and Spring Boot/Spring Cloud.
• Build and maintain REST APIs and event-driven systems with Apache Kafka.
• Work with MongoDB and NoSQL database design.
• Deploy, scale, and troubleshoot applications on Kubernetes/OpenShift (OCP) and Docker.
• Implement cloud-native applications and DevOps practices, including CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
• Apply API security mechanisms (OAuth2, JWT, mTLS).
• Debug, tune performance, and provide production support.
• Collaborate in Agile/Scrum environments.

Requirements

• Software Engineering experience demonstrated through work, consulting, training, military experience, or education.
• Authorized to work for ANY employer in the U.S. (no visa sponsorship available).
• Strong experience in Java 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.
• Strong communication and collaboration skills.
• Experience working in Agile/Scrum environments.

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.

Benefits

• Health Insurance
• Life Insurance
• 401K
• Voluntary Benefits